Data mining refers to analyzing data from different perspectives to extract useful information. There are various types of data mining including business, scientific, and internet data mining. Web mining is a main application of data mining that involves the automated discovery of useful information from web documents and services. It has three domains: web content mining which extracts patterns from online information, web structure mining which describes how content is organized, and web usage mining which analyzes web access logs to understand user behavior. Common web mining techniques include clustering, classification, association rules, path analysis, and sequential patterns. Web mining tools like Mozenda can routinely extract, store, and publish web data to be used in various applications.
General Idea about web mining and different methods of web mining and terminologies associated with web mining and Usage of web mining, differentiation between web mining and data mining.
it gives you short and brief information about web mining and its different types.it will be helpful to understand web mining and its appliction well. it contains particular topic well with some slides
Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web. Mining means extracting something useful or valuable from a baser substance, such as mining gold from the earth.
This presentation covers the basics of Web Mining along with the ETL design and Reporting Specification, that what is the ideal behind the mining modal and how the reports are specified to dig or mine the data via the web for a particular search.
Web mining is the application of data mining techniques to discover patterns from the World Wide Web. As the name proposes, this is information gathered by mining the web
Web mining tools based on content mining,usage mining and structure mining. Tools : Tableau,R, Octoparse , Scrapy, Hits and Pagerank algo. also included.
General Idea about web mining and different methods of web mining and terminologies associated with web mining and Usage of web mining, differentiation between web mining and data mining.
it gives you short and brief information about web mining and its different types.it will be helpful to understand web mining and its appliction well. it contains particular topic well with some slides
Web mining is the integration of information gathered by traditional data mining methodologies and techniques with information gathered over the World Wide Web. Mining means extracting something useful or valuable from a baser substance, such as mining gold from the earth.
This presentation covers the basics of Web Mining along with the ETL design and Reporting Specification, that what is the ideal behind the mining modal and how the reports are specified to dig or mine the data via the web for a particular search.
Web mining is the application of data mining techniques to discover patterns from the World Wide Web. As the name proposes, this is information gathered by mining the web
Web mining tools based on content mining,usage mining and structure mining. Tools : Tableau,R, Octoparse , Scrapy, Hits and Pagerank algo. also included.
The World Wide Web (Web) is a popular and interactive medium to disseminate information today.
The Web is huge, diverse, and dynamic and thus raises the scalability, multi-media data, and temporal issues respectively.
Presentation on Web Mining Or Data Mining. Data mining is the process of discovering insightful, interesting, and novel patterns, as well as descriptive, understandable and predictive models from large-scale data. data analysis aims to explore the numeric and categorical attributes of the data individually or jointly to extract key characteristics of the data sample via statistics that give information about the centrality, dispersion, and so on.
This is part one of a seven-part training series designed to turn intermediate-level PPT users into "Presentation Specialists".
Much of this material is a SUMMARY (not original) of existing knowledge that has been so generously offered by PowerPoint thought and design leaders.
Enjoy.
"Publish and prosper" is a series of posts about tips for researchers whose first language is not English but who submit papers to journals published in English. The series touches upon not only writing (spelling, grammar, punctuation, usage, and style) but everything else relevant to publishing research papers that journal editors wish their authors knew.
The World Wide Web (Web) is a popular and interactive medium to disseminate information today.
The Web is huge, diverse, and dynamic and thus raises the scalability, multi-media data, and temporal issues respectively.
Presentation on Web Mining Or Data Mining. Data mining is the process of discovering insightful, interesting, and novel patterns, as well as descriptive, understandable and predictive models from large-scale data. data analysis aims to explore the numeric and categorical attributes of the data individually or jointly to extract key characteristics of the data sample via statistics that give information about the centrality, dispersion, and so on.
This is part one of a seven-part training series designed to turn intermediate-level PPT users into "Presentation Specialists".
Much of this material is a SUMMARY (not original) of existing knowledge that has been so generously offered by PowerPoint thought and design leaders.
Enjoy.
"Publish and prosper" is a series of posts about tips for researchers whose first language is not English but who submit papers to journals published in English. The series touches upon not only writing (spelling, grammar, punctuation, usage, and style) but everything else relevant to publishing research papers that journal editors wish their authors knew.
What business people need from Twitterguesta1f5e12
Time is the new currency and who has time to read all the great information on the Internet today? What we need is a business tool to summarize articles from media via Twitter
Query vs. Report: Choosing the Right Tool for the Right Job in The Raiser’s EdgeBlackbaud
Have you ever wondered when you should use a query and when you should use a report? Maybe you’ve wondered if there’s a report that will get the job done better than a query. If so, this session is right up your alley! Join us for this session and come prepared to walk away empowered with query and report tool information in The Raiser’
Learn to anchor cells, move around Excel without a mouse, functions to summarize data, PivotTables, filters, sorting, charts, and macros in this course to take your Excel skills to the next level. Include information on functions: countif, sumif, vlookup, index, match, left, right, mid, len, trim, find, now, date, int
Data mining refers to the process of analysing the data from different perspectives and summarizing it into useful information.
Data mining software is one of the number of tools used for analysing data. It allows users to analyse from many different dimensions and angles, categorize it, and summarize the relationship identified.
Data mining is about technique for finding and describing Structural Patterns in data.
Data mining is the process of finding correlation or patterns among fields in large relational databases.
The process of extracting valid, previously unknown, comprehensible , and actionable information from large databases and using it to make crucial business decisions.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
User Navigation Pattern Prediction from Web Log Data: A SurveyIJMER
This paper proposes a survey of Web Page Prediction Techniques. Prefetching of Web page
has been widely used to reduce the access latency problem of the Web users. However, if Prefetching of
Web page is not accurate and Prefetched web pages are not visited by the users in their accesses, the
limited bandwidth of network and services of server will not be used efficiently and may face the problem
of access delay. Therefore, it is critical that we need an effective prediction method during prefetching.
The Markov models have been widely used to predict and analyze users navigational behavior. All the
activities of web users have been saved in web log files. The stored users session is used to extract
popular web navigation paths and predict current users next web page visit
ANALYTICAL IMPLEMENTATION OF WEB STRUCTURE MINING USING DATA ANALYSIS IN ONLI...IAEME Publication
In today ’s global business, the web has been the most important means of communication. Clients and customers may find their products online, which is a benefit of doing business online. Web mining is the process of using data mining tools to analyse and extract the information from a Web pages and applications autonomously. Many firms use web structure mining to generate suitable predictions and judgments for business growth, productivity, manufacturing techniques, and more utilizing data mining business strategies. In the online booking domain, optimum web data mining analysis of web structure is a crucial component that gives a systematic manner of new application towards real-time data with various levels of implications. Web structure mining emphases on the construction of the web's hyperlinks. Linkage administration that is done correctly can lead to future connections, which can therefore increase the prediction performance of learnt models. A increased interest in Web mining, structural analysis research has expanded, resulting in a new research area that sits at the crossroads of work in the network analysis, hyperlink and the web mining, structural training, and empirical software design techniques, as well as graph mining. Web structure mining is the development of determining structure data from the web. The proposed WSM approach is a system of finding the structure of data stored over the Web. Web structure mining can encourage the clients to recover the significant records by breaking down the connection situated structure of Web content. Web structure mining has been one of the most important resources for information extraction and the knowledge discovery as the amount of data available online has increased.
Web Usage Mining: A Survey on User's Navigation Pattern from Web Logsijsrd.com
With an expontial growth of World Wide Web, there are so many information overloaded and it became hard to find out data according to need. Web usage mining is a part of web mining, which deal with automatic discovery of user navigation pattern from web log. This paper presents an overview of web mining and also provide navigation pattern from classification and clustering algorithm for web usage mining. Web usage mining contain three important task namely data preprocessing, pattern discovery and pattern analysis based on discovered pattern. And also contain the comparative study of web mining techniques.
User Navigation Pattern Prediction from Web Log Data: A SurveyIJMER
This paper proposes a survey of Web Page Prediction Techniques. Prefetching of Web page has been widely used to reduce the access latency problem of the Web users. However, if Prefetching of Web page is not accurate and Prefetched web pages are not visited by the users in their accesses, the limited bandwidth of network and services of server will not be used efficiently and may face the problem of access delay. Therefore, it is critical that we need an effective prediction method during prefetching.
The Markov models have been widely used to predict and analyze users navigational behavior. All the
activities of web users have been saved in web log files. The stored users session is used to extract
popular web navigation paths and predict current users next web page visit.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
STRATEGY AND IMPLEMENTATION OF WEB MINING TOOLSAM Publications
In the current development, millions of clients are accessing daily the internet and World Wide Web (WWW) to search the information and achieve their necessities. Web mining is a technique to automatic discovers and Extract information from www. Websites are a common stage to discussion the information between users. Web mining is one of the applications of Data mining techniques for extracting information from web data. The area of web mining is web content mining, web usage mining and web structure mining. These three category focus on Knowledge discovery from web. Web content mining involves technique for summarization, classification, clustering and the process of extracting or discovering useful information web pages, it includes image, audio, video and metadata. Web usage mining is the process of extracting information from web server logs. Web structure mining it is the process of using graph theory to analyse the node and connection structure of a website and deals with the hyperlink structure of web. Web mining is a part of data mining which relates to various research communities such as information retrieval, database management systems and Artificial intelligence.
Web Page Recommendation Using Web MiningIJERA Editor
On World Wide Web various kind of content are generated in huge amount, so to give relevant result to user web recommendation become important part of web application. On web different kind of web recommendation are made available to user every day that includes Image, Video, Audio, query suggestion and web page. In this paper we are aiming at providing framework for web page recommendation. 1) First we describe the basics of web mining, types of web mining. 2) Details of each web mining technique.3)We propose the architecture for the personalized web page recommendation.
In this world of information technology, everyone has the tendency to do business electronically. Today
lot of businesses are happening on World Wide Web (WWW), it is very important for the website owner to
provide a better platform to attract more customers for their site. Providing information in a better way is
the solution to bring more customers or users. Customer is the end-user, who accessing the information
in a way it yields some credit to the web site owners. In this paper we define web mining and present a
method to utilize web mining in a better way to know the users and website behaviour which in turn
enhance the web site information to attract more users. This paper also presents an overview of the
various researches done on pattern extraction, web content mining and how it can be taken as a catalyst
for E-business.
A Study of Pattern Analysis Techniques of Web Usageijbuiiir1
Web mining is the most important application of data mining techniques to extract knowledge from web data including web document, hyperlinks between documents, usage logs of web sites etc. Web mining has been explored to a vast degree and different techniques have been proposed for a huge variety of applications that includes search engine enhancement, optimization of web services, Business Intelligence, B2B and B2C business etc. Most research on web mining has been from a �process-centric� point of view which defined web mining as a sequence of tasks. In this paper, we highlight the significance of studying the evolving nature of the web pattern analysis (WPA). Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving web sites/pages. A Web usage mining system performs five major tasks: i) data collection ii) information filtering iii) pattern discovery iv) pattern analysis and visualization techniques, and v) Knowledge Query Mechanism (KQM). Each task is explained in detail and its related technologies are introduced. The web mining research is a converging research area from several research communities, such as database system, information retrieval, information extraction and artificial intelligence. In this paper we implement how web usage mining techniques can be applied for the customization i.e. web visualization
Designing and building a forensic laboratory is a complicated undertaking. Design issues include those considerations present when designing any building, with enhanced concern and special requirements involving environmental health and safety, hazardous materials, management, operational efficiency, adaptability, security of evidence, preservation of evidence in an uncontaminated state, as well as budgetary concerns.
Designing and building a forensic laboratory is a complicated undertaking. Design issues include those considerations present when designing any building, with enhanced concern and special requirements involving environmental health and safety, hazardous materials, management, operational efficiency, adaptability, security of evidence, preservation of evidence in an uncontaminated state, as well as budgetary concerns.
Distributed systems
1.Write a program for implementing Client Server communication model.
2.Write a program to show the object communication using RMI.
3.Show the implementation of Remote Procedure Call.
4.Show the implementation of web services.
5.Write a program to execute any one mutual exclusion algorithm.
6.Write a program to implement any one election algorithm
7.Show the implementation of any one clock synchronization algorithm.
8.Write a program to implement two phase commit protocol
Data mining (DM) manual.
Data mining refers to the process of analysing the data from different perspectives and summarizing it into useful information.
Data mining software is one of the number of tools used for analysing data. It allows users to analyse from many different dimensions and angles, categorize it, and summarize the relationship identified.
Data mining is about technique for finding and describing Structural Patterns in data.
In computing, a firewall is a software or hardware-based network security system that controls the incoming and outgoing network traffic based on applied rule set. A firewall establishes a barrier between a trusted, secure internal network and another network (e.g., the Internet) that is not assumed to be secure and trusted.
Many personal computer operating systems include software-based firewalls to protect against threats from the public Internet. Many routers that pass data between networks contain firewall components and, conversely, many firewalls can perform basic routing functions.
Embedded System, EMBEDDED SYSTEM: AN INTRODUCTION, ELEMENTS OF EMBEDDED SYSTEMS, CORE THE OF EMBEDDED SYSTEM, CHARACTERISTICS & QUALITY ATTRIBUTES OF EMBEDDED SYSTEMS, EMBEDDED HARDWARE FROM SOFTWARE PROGRAMMERS PERSPECTIVE,
Advance Database Management Systems -Object Oriented Principles In DatabaseSonali Parab
An OODBMS is the result of combining object oriented programming principles with database management principles. Object oriented programming concepts such as encapsulation, polymorphism and inheritance are enforced as well as database management concepts such as the ACID properties (Atomicity, Consistency, Isolation and Durability) which lead to system integrity, support for an ad hoc query language and secondary storage management systems which allow for managing very large amounts of data. The Object Oriented Database Manifesto specifically lists the following features as mandatory for a system to support before it can be called an OODBMS; Complex objects, Object identity, Encapsulation , Types and Classes , Class or Type Hierarchies, Overriding, overloading and late binding, Computational completeness , Extensibility,Persistence , Secondary storage management, Concurrency, Recovery and an Ad Hoc Query Facility.
Cloud and Ubiquitous Computing manual Sonali Parab
This manual consist of cloud and Ubiquitous Computing practicals of the following topics:
1.Implement Windows / Linux Cluster,
2.Developing application for Windows Azure,
3.Implementing private cloud with Xen Server,
4.Implement Hadoop,
5.Develop application using GAE,
6.Implement VMWAre ESXi Server,
7.Native Virtualization using Hyper V,
8.Using OpenNebula to manage heterogeneous distributed data center infrastructures.
Advance Database Management Systems -Object Oriented Principles In DatabaseSonali Parab
An OODBMS is the result of combining object oriented programming principles with database management principles. Object oriented programming concepts such as encapsulation, polymorphism and inheritance are enforced as well as database management concepts such as the ACID properties (Atomicity, Consistency, Isolation and Durability) which lead to system integrity, support for an ad hoc query language and secondary storage management systems which allow for managing very large amounts of data. The Object Oriented Database Manifesto specifically lists the following features as mandatory for a system to support before it can be called an OODBMS; Complex objects, Object identity, Encapsulation , Types and Classes , Class or Type Hierarchies, Overriding, overloading and late binding, Computational completeness , Extensibility,Persistence , Secondary storage management, Concurrency, Recovery and an Ad Hoc Query Facility.
Default and On demand routing - Advance Computer NetworksSonali Parab
Routing is the process of selecting best paths in a network. In the past, the term routing was also used to mean forwarding network traffic among networks. However this latter function is much better described as simply forwarding. Routing is performed for many kinds of networks, including the telephone network (circuit switching), electronic data networks (such as the Internet), and transportation networks.
In packet switching networks, routing directs packet forwarding (the transit of logically addressed network packets from their source toward their ultimate destination) through intermediate nodes. Intermediate nodes are typically network hardware devices such as routers, bridges, gateways, firewalls, or switches. General-purpose computers can also forward packets and perform routing, though they are not specialized hardware and may suffer from limited performance. The routing process usually directs forwarding on the basis of routing tables which maintain a record of the routes to various network destinations. Thus, constructing routing tables, which are held in the router's memory, is very important for efficient routing. Most routing algorithms use only one network path at a time. Multipath routing techniques enable the use of multiple alternative paths.
In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a communication network such as the Internet. It is very similar to the concept of utility computing. In science, cloud computing is a synonym for distributed computing over a network, and means the ability to run a program or application on many connected computers at the same time.
The phrase is often used in reference to network-based services, which appear to be provided by real server hardware, and are in fact served up by virtual hardware, simulated by software running on one or more real machines. Such virtual servers do not physically exist and can therefore be moved around and scaled up or down on the fly without affecting the end user, somewhat like a cloud becoming larger or smaller without being a physical object.
Protocol layers are a hierarchical model of network or communication functions. The divisions of the hierarchy are referred to as layers or levels, with each layer performing a specific task. In addition, each protocol layer obtains services from the protocol layer below it and performs services for the protocol layer above it. The Bluetooth system divides communication functions into protocol layers.
The Bluetooth system consists of many existing protocols that are directly used or have been adapted to the specific use of the Bluetooth system. Protocols are often divided into groups that are used for different levels of communication (a protocol stack). Lower level protocols (such as protocols that are used to manage a radio link between specific points) are only used to create, manage, and disconnect transmission between specific points. Mid-level protocols (such as transmission control protocols) are used to create, manage, and disconnect a logical connection between endpoints that may have multiple link connections between them. High level protocols (application layer protocols) are used to launch, control, and close end-user applications.
Some of the layers associated with the Bluetooth system include the baseband layer (physical layer), link layer, host controller interface (HCI), logical link control applications protocol (L2CAP), RF Communications protocol (RFCOMM), Object Exchange (OBEX), and service discovery.
A set of computers and computer network resources based on the standard cloud computing model, in which a service provider makes resources, such as applications and storage, available to the general public over the Internet .
Public cloud services may be free or offered on a pay-per-usage model.
Applications, storage, and other resources are made available to the general public by a service provider. There are service providers like Amazon, Microsoft or Google who own all infrastructure at their data center.
A set of computers and computer network resources based on the standard cloud computing model, in which a service provider makes resources, such as applications and storage, available to the general public over the Internet .
Public cloud services may be free or offered on a pay-per-usage model.
Applications, storage, and other resources are made available to the general public by a service provider. There are service providers like Amazon, Microsoft or Google who own all infrastructure at their data center.
The RMI Java Remote Method Invocation Application Programming Interface (API), or Java RMI, is a Java API that performs the object-oriented equivalent of remote procedure calls (RPC), with support for direct transfer of serialized Java objects and distributed garbage collection.
The original implementation depends on Java Virtual Machine (JVM) class representation mechanisms and it thus only supports making calls from one JVM to another. The protocol underlying this Java-only implementation is known as Java Remote Method Protocol (JRMP).
• In order to support code running in a non-JVM context, a CORBA version was later developed.
• In order to support code running in a non-JVM context, a CORBA version was later developed.
“Software Testing is the process of executing a program or system with the intent of finding errors. Or, it involves any activity aimed at evaluating an attribute or capability of a program or system and determining that it meets its required results”
Currently Agile is one of the highly practiced methodologies. Agile is an evolutionary approach to software development which is performed in a highly collaborative manner by self-organizing teams that produces high quality software in a cost effective and timely way which also meets the changing needs of its stakeholders. The software is delivered to the customer very quickly; customer checks it for errors and sends some new changes and requirements to include before the last iteration. So, user is provided with a chance to test the product and provide the team with feedback about the working and the functionality of the system. Agile development approach believes in the involvement and frequent communication between the developer team and stakeholders, and regular delivery of functionality. According to Agile development, people are more important than processes and tools; and the customer must be involved in the entire process.
Recently The Java Remote Method Invocation (RMI) system allows an object running in one Java virtual machine to invoke methods on an object running in another Java virtual machine. RMI provides for remote communication between programs written in the Java programming language.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
3. Introduction
Data Mining refers to the process of analysing
the data from different perspectives and
summarizing it into useful information.
◊ Analyze data.
◊ Categorize data.
◊ Summarize relationship.
◊ Describing structural patterns.
3
4. Definition: Data Mining
Data mining is the process of finding
correlation or patterns among fields in large
relational databases.
Business Data Mining.
Scientific Data Mining.
Internet Data Mining.
4
5. Major elements of Data Mining
E T L.
Store and manage multidimensional database.
Provide access to.
Analyze the data.
Presentation of data.
5
6. What is Web Mining?
Main application
for DataMining
“Broadly defined
as the automated
Discovery and
analysis of useful
information from
Documents,
services using
data mining
6
7. Need For Web Mining.
Information
Data
World Wide Web is a
popular and interactive
medium, ideal for
publishing information.
It is huge, diverse and
dynamic and thus
raises issue of
scalability, multimedia
and temporal data
respectively
7
10. 1. Web Content Mining.
An automatic process that extracts patterns from
online information, such as the HTML files,
images, or Emails, and it already goes beyond
only keywords extraction or some simple
statistics of words and phrases in documents.
Process of information or resource discovery from
millions of source across the WWW
10
11. a. Agent based approaches.
Artificial intelligence system that can “act
autonomously or semi – autonomously on behalf
of a particular user, to discover and organize Web
based information.”
b. Data approaches.
“Integrating and organizing the heterogeneous
and semi – structured data on the Web into more
structured
and
high
level
collections
of
resources.”
11
12. 2. Web Structure Mining.
describes organizations of content
Intra – page structure information includes the
arrangement of various tags.
Example : HTML or XML tags.
<html> tag becomes the root of the tree.
12
13. 3. Web Usage Mining.
Web servers record and accumulate data.
Analysing the web access logs.
Understand the user behaviour and the Web
structure.
13
14. Web Mining Techniques.
i.Clustering / Classification
Used to develop profiles of items with
similar characteristics.
Ability enhances the discovery of
relationships
Eg : Classification of Web access logs
14
15. ii. Association Rules.
Rules that govern databases of transactions
Used to predict the correlation of items.
Presence of one set items in a transaction
implies.
15
16. iii. Path Analysis.
Generation of graph that “represents
relation[s] defined on Web pages.”
Physical layout of a Web site.
Sitemap.
16
17. iv. Sequential Patterns.
Web access server transaction logs.
Discover sequential patterns
Example: user visit patterns over a certain
period.
17
19. Web mining as a tool:
Promising tool effective search engine
Discovers information from mounds.
Predicts user visit habits.
Designers gets more reliable information.
Eg: Web sites with path helps to save time.
19
20. Current research:
As many researchers believe, it was Etzioni who first came
up with the term of Web mining in his paper . He brought
out a question: is it practical to mine Web data? He also
suggested dividing the Web mining to three processes. The
paper opened up a new active research field.
There are increasing number of researcher working on this
field and do some surveys around the data mining on the
Web. The Web mining was clearly categorized as Web
content mining, Web structure mining and Web usage
mining in till 1999. The research works have been well
classified since then.
There have been some works around content mining, and
structure mining, based on the research of Data mining and
Information Retrieval, Information Extraction, and Artificial
Intelligence.
20
21. In the usage mining research area, several groups did
distinguished work. R. Cooley et al. in University of Minnesota did
in-depth research to all the procedure of usage mining. They
proposed a mining prototype WebMiner and derived a system
WebSIFT to perform the usage mining, which is relatively
practical. O. Zaiane et al. [15] proposed the idea of how to
implement the OLAP technique on the Web mining.
Their works on the multimedia data also provided a valuable
solution for content mining. M. Spiliopoulou et al. focused on the
applications of the usage mining. His works on the navigation
pattern discovery and web site personalization has special
meaning for the e-commerce society and the Web marketplace
allocation, and will be very helpful for both Web user and
administrator. The Web Utilization Miner system is aninnovative
sequential mining system.
J. Borges et al. has explored some algorithms to mine the user
navigation pattern in [2] and his other papers. He proposed a data
mining model to achieve an efficient mining, which captures the
user navigation behavior pattern by using Ngrammar approach.
21
22. Mining Tool:Mozenda
Mozenda is a Software as a Service (SaaS) company
that enables users of all types to easily and affordably
extract and manage web data. With Mozenda, users
can set up agents that routinely extract data, store
data, and publish data to multiple destinations. Once
information is in the Mozenda systems users can
format, repurpose, and mashup the data to be used
in other online/offline applications or as intelligence.
All data in the Mozenda system is secure and is
hosted in class A data warehouses but can be
accessed over the web securely via the Mozenda Web
Console. With the addition of a fully featured REST
API, Companies can now seamlessly integrate their
data automation with the Mozenda application.
22
23. Conclusion:
Data mining is a useful tool with multiple
algorithms that can be tuned for specific
tasks.
It benefits business, medical, and science.
23
24. Reference:
www.datawarehousingonline
.com
Data base System – Elmasri,
Navathe.
Data Mining Technologies –
Arun K Pujari.
http://www.cse.aucegypt.ed
u/~rafea/CSCE564/sldes/W
ebMiningOverview.pdf
http://www.mozenda.com/w
eb-mining-software
24