Web mining is the application of data mining techniques to extract knowledge from web data. There are three types of web mining: web usage mining analyzes server logs to learn about user behavior; web structure mining analyzes the hyperlink structure between websites; and web content mining analyzes the contents of web pages. Web mining has various applications in areas like e-commerce, advertising, search engines, and CRM to improve business decisions by understanding customer behavior and targeting customers. It allows businesses to increase sales, optimize websites, and gain marketing intelligence.
Introduction to Web Mining and Spatial Data MiningAarshDhokai
Data Ware Housing And Mining subject offer in Gujarat Technological University in Branch of Information and Technology.
This Topic is from chapter 8 named Advance Topics.
Introduction to Web Mining and Spatial Data MiningAarshDhokai
Data Ware Housing And Mining subject offer in Gujarat Technological University in Branch of Information and Technology.
This Topic is from chapter 8 named Advance Topics.
key note address delivered on 23rd March 2011 in the Workshop on Data Mining and Computational Biology in Bioinformatics, sponsored by DBT India and organised by Unit of Simulation and Informatics, IARI, New Delhi.
I do not claim any originality either to slides or their content and in fact aknowledge various web sources.
Website Development and Business Growth-Leveragingthe Digital Landscape.pptxClaraM27
Volga Tigris is a well known web development company in Dubai. To explore how a well-designed and optimized website can serve as a powerful tool to attract and engage customers, increase brand visibility, and drive conversions. It emphasizes the importance of user-friendly navigation, mobile responsiveness, compelling content, and search engine optimization (SEO) techniques. By leveraging the digital landscape through strategic website development, businesses can unlock immense growth opportunities and establish a strong online presence in their respective industries.
Visit: https://www.volgatigris.com/web-development-company-duba
key note address delivered on 23rd March 2011 in the Workshop on Data Mining and Computational Biology in Bioinformatics, sponsored by DBT India and organised by Unit of Simulation and Informatics, IARI, New Delhi.
I do not claim any originality either to slides or their content and in fact aknowledge various web sources.
Website Development and Business Growth-Leveragingthe Digital Landscape.pptxClaraM27
Volga Tigris is a well known web development company in Dubai. To explore how a well-designed and optimized website can serve as a powerful tool to attract and engage customers, increase brand visibility, and drive conversions. It emphasizes the importance of user-friendly navigation, mobile responsiveness, compelling content, and search engine optimization (SEO) techniques. By leveraging the digital landscape through strategic website development, businesses can unlock immense growth opportunities and establish a strong online presence in their respective industries.
Visit: https://www.volgatigris.com/web-development-company-duba
Lavacon 2012 How Documentation Teams Can Use Web Analytics to Expand their Co...bzebian
n this session, Karen Buchanan and Bob Zebian of IBM will describe how Web analytics play an increasing role in improving documentation quality, and how documentation teams can expand their value across the enterprise by sharing this information with other teams such as Quality Assurance, Development, Product Management, and Executive Management.
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketerskijumpman
The significance of the web to B-to-B Marketers is two-fold; it is one of many channels through which to market to customers and it is a part of the sales funnel (i.e. customers can learn about, engage with, and buy products and services from a company’s website). This paper will address the latter by examining how web analytics is an important tool to use to improve a company’s website, which is an important sales channel and overall piece of the B-to-B marketing terrain.
Using Google Analytics To Market Your Software IdeaPierre DeBois
A starter presentation from my session for Nebraska.Code 2018 explaining how to use reporting in Google Analytics to understand how to attract your intended audience and monitor conversion activity at your website.
This presentation is based on Microsoft Power BI which is used for business analytics solution that lets you visualize your data and share insights across your organization, or embed them in your app or website.
ITIL- Service operations- Incident management Sushil kasar
Under ITIL lifecycle our presentation is based on component service operations.
ITIL is a framework and best practices followed by Infrastructure service providers to provide services to their customers in more efficient way.
Life cycle consist of-
Service strategy
Service Design
Service transition
Service operation
CSI (continous service Improvement)
Our topic fits under service operations, which provides a good insights about operational activities performed.
A deep dive in data visualization covering some handful tools like Advance excel, Tableau, Qliksense etc.
You can add more content like discussing Google API, Perception and cognition theory,some more readable formats for data visualization and its framework.
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
This is not the complete project.But we have tried hard to justify our data warehousing project where we have contributed and played a role of ETL developer. Through out of this project we have created Factless Fact table and Logical Dimension.
For Further assistance,
plz check our blogs and contact us through social networking sites.
Question are welcomed.!
thank you.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. RATIONALE
WEB is a rich source of knowledge that can be useful to
many application.
Mining means extracting something useful or value able
from a baser substance, such as mining gold from the earth.
Source..? Billions of web pages and Billions of visitors and
contributors.
Knowledge..?the hyperlink structure and diversity of
languages.
Purpose..?To improve users efficiency and effectiveness in
searching for information on the web. "World wide web,
internet“.
3. INTRODUCTION.
The information on the internet is in the form of static and
dynamic web pages of various areas from education,
industry to every walk of life including blogs.
• As per the web sites’ survey more than 160,000,000 web
sites are having inter, intra linked web pages. The speed
of web information is rapid.
• The way the web sites and web pages are accessed , it is
useful from the business perspective for giving future
directions for decision making.
• Data mining (sometimes called data or knowledge
discovery) is the process of analyzing data from different
perspectives and summarizing it into useful information.
• The Web Mining is an application of the data mining
techniques to find interesting and potentially useful
knowledge from web data.
4. Data Mining and Web Mining
Data mining: turn data into knowledge.
Web mining is to apply data mining techniques
to extract and uncover knowledge from web
documents and services. ie.web data.
Eg-Facebook
recommendations,friends,place,pages..etc.is an
part of web mining.
5. WEB MINING.ImageFile
Web mining is the application of data mining
techniques to extract knowledge from web data.
Web Data is,
1.web content- text, image,record etc.
www.web_content.image.com
2.web structure-hyperlinks,tags etc.
www.web.structureimage.com
3.web usage-http logs, app server logs, etc.
www.web.usage.com
Note-above are the hyperlinks,you add your own
with supportive images.
6. FEATURES and benefits
1.Information filtering techniques try to learn
about users’ interests based on their
evaluation and actions, and then to use this
information to analyze new documents.
2.It Increase the value of each visitor.
Improve the visitor’s experience at the
websites.
3.WEB MINING allows you to look for pattern in
data through content mining,structure mining
and usage mining.
7. 4.Web mining is attractive for companies,
because of several advantages.
In the most general sense it can contribute to
the increase of profit. By actually selling more
products or services or by Minimizing the
costs. In order to do this marketing
intelligence is requried.This intelligence can
focus on marketing stratergies and
competative analyses or on the relationship of
the customers.
8. CHALLENGES IN WEB MINING.
• Information is Huge.
• Information is diverse.
• Information is redundant.
9. How Web Mining is Going to Make
the Users Life Easy?
• “Solution for Business Decision Problems of E-Commerce for Retailer’s
Web Site Solved Using Web Mining.”
• In an e-commerce web site a reduction in user’s web site behavior
analysis time and web site usage, trends will be a value addition
provided by web mining. This e-commerce web site, required to develop
a web data mining system for business users and data analysts as an end
to end solution comprising of data gathering, cleansing, ETL operations,
warehousing.
• The business intelligence systems created user friendly, flexible,
dynamic, multidimensional factual reporting, supported by visualization,
and web data mining techniques.
• In the e-commerce web site the data gathering and data sources includes
not only customer registration and demographic information but also
web click-streams, response to direct-mail, email campaigns, and orders
placed through a website, call center amongst the other sources. The
quantity of data can vary above 100 million records.
10. • The E-commerce Web Site Architecture can collect
additional click stream data besides the data in the web
logs, web logs have sensitive information about customer’s
login, session information, IP addresses indicating the area,
region they belong to and their age, frequency of using the
web site etc.
• The focus on Business to Customer(B2C) e-commerce for
retailers helps in understanding and fulfilling the business
needs to develop the required expertise and design out of
the box reports and analysis of the domain’s future trends
and patterns of customer behavior understand in a better
way to the business user.
• It can answer the business questions such as to identify
heavy spenders at the web site, which are the customers
who express willingness to receive emails from the web site
are heavy spenders? Such answers reflect the customer’s
loyalty, based on these results promotion offers and
discount offers can also be derived by the business decision
maker and possibility to increase in customers can be
increases for registrations to web site.
11. Solution to the Search Engine Problems and
How Web Mining Can Help in Improving
the Business Decisions.
• As the search engines use enormous information
existing in the web sites, web pages, it is a
challenging task to engineer, implement and to
improvise the search engine.
• This specifies that indexing of web pages involves a
huge task.
• Per day tens of millions of queries are given to search
engine.
12. • It helps in problems of how to effectively deal
with uncontrolled hypertext collection where
anyone can publish anything they want. Web
Mining Applications have been used by these
web sites such as Web search e.g., Google and
Yahoo , Web Vertical Search e.g., FatLens and
Become, Web Recommendations e.g.,
Amazon.com , Web Advertising e.g., Google and
Yahoo,
• Web site design e.g., landing page optimization.
13. The Various Business Areas Where Web
Mining has Helped in Improving
the Business Decision Making.
• E-Business-Analysis of click-stream data(data
regarding to web browsing) i.e. web mining uncovers
real-time e-business opportunities across geography.
It provides ways to target right customers and
understand their needs and to customize services
and strategies in near-or-real time. The area of
advertising is no exception for utilizing the
opportunities provided by online customer analytics
to promote right products in real time to the right
customer. It also helps in effectiveness of a web site
as a channel for marketing by quantifying the user’s
behavior while on the web site.
14. • CRM-Analytical CRM utilizes business intelligence and reporting
methodologies such as data mining and analytical processing to
CRM applications. While the earlier CRM implementations focus on
improving operational efficiencies in the sales and service functions
through tailor-made solutions for call-center management,
analytical CRM solutions use intelligence solutions to analyze the
data, identify the demographic profiles and measure the purchase
frequency and other behavioral patterns of the customers.
• With the amount of available online content, today organizations
put premium on understanding, adopting and managing the same,
convert them into appropriate knowledge suitable to serve their
customers better, and thus improve the operations and accelerate
the process of delivery of products to markets. The WorldWide Web
is a fertile area for web Mining and it can provide applications,
methods, algorithms to be beneficial in various real-world
applications with respect to the critical e-CRM function.
15. • Customer Behavior-Web Mining helps in
understanding the concerns such as current and
future probability of every customer, relationship
between behavior and the loyalty at the website
The models based on customer-centric web
behavior can be used not only for identifying
improvements in the appeal of web site
segmentation, which are based on web behavior
providing a precise basis for personalization but
also for predicting customer’s future behavior
that is essential for website content planning and
design.
16. • Cross Selling-Web Data mining usage which will allow to
cross- sell into web store application with a minimal effort.
• Web Site Service Quality Improvement-The World Wide
Web is one of the most used interfaces to access remote
data and commercial, noncommercial services and the
number of actors involved in these transactions is growing
very quickly.
• Everyone using the Web Experiences knows that how the
connection to a popular website may be very slow during
rush hours and it is well known that web users tend to
leave a site if the wait time for a page to be served exceeds
a given value. Therefore, performance and service quality
attributes have gained enormous relevance in service
design and deployment.
17. TYPES OF WEB MINING
WEB MINING
Web usage
mining
Web
structure
mining
Web content
mining
18. WEB USAGE MINING
• Web usage mining is the process of
extracting useful information from server
logs. i.e.User’s history.
• Web usage mining is the process of finding
out what users are looking on internet.
• User identification, session creation, robot
detection.
• And filtering, and extracting usage path
patterns.
19. WEB STRUCTURE MINING
• The structure of a typical Web graph consists of
Web pages as nodes, and hyperlinks as edges
connecting between two related pages.
• Web Structure Mining is the process of
discovering structure information from the Web.
-This type of mining can be performed either at the
(intra-page) document level or at the (inter-page)
hyperlink level.
The research at the hyperlink level is also called
Hyperlink Analysis.
20. WEB STRUCTURE TERMINOLOGY.
• Web-graph: A directed graph that represents
the Web.
• ‰
Node: Each Web page is a node of the Web-
graph.
• ‰
Link: Each hyperlink on the Web is a directed
edge of the Web-graph.
21. WEB CONTENT MINING
• Web Content Mining is the process of
extracting useful information from the
contents of Web documents.
• Content data corresponds to the collection of
facts a Web page was designed to convey to
the users.
• It may consist of text, images, audio, video, or
structured records such as lists and tables.
22. • The web content mining is differentiated from
two different points of view. Information
Retrieval View and Database View.
23. Common Mining Techniques
• The more basic and popular mining techniques
include:
• ™
Classification
• ™
Clustering
• ™
Associations.
The other significant ideas:
• ™
Topic Identification, tracking and drift analysis
• ™
Concept hierarchy creation
• ™
Relevance of content.
24. • Document Classification.
“Supervised” technique.
Categories are defined and documents are
assigned to one or more existing categories.
The “definition” of a category is usually in the
form of a term that is produced during a
“training” phase.
Training is performed through the use of
documents that have already been classified
(often by hand) as belonging to a category.
25. • Document Clustering.
• “Unsupervised” technique.
• Document clustering is the act of collecting
similar documents into bins, where similarity is
some function on a document.
• Clustering are performed online as well offline.
• Document clustering involves the use of
descriptors and descriptor extraction. Descriptors
are sets of words that describe the contents
within the cluster. Document clustering is
generally considered to be a centralized process.
Examples of document clustering include web
document clustering for search users.
26. • Topic Identification and Tracking.
• Combination of Clustering and Classification.
• As new documents are added to a collection.
• An attempt is made to assign each document
to an existing topic (category).
• The collection is also checked for the
emergence of new topics. the drift in the
topics are also identified.
27. • Concept Hierarchy Creation.
• Creation of concept hierarchies is important
to understand the category and sub categories
a document belongs to Key Factors.
Organization of categories. e.g. Flat, Tree, or
Network.
• Maximum number of categories per
document.
• Category Dimensions e.g. Subject, Location,
Time, Alphabetical, Numerical.
28. APPLICATION AREAS:-
• WEB MINING in E-commerce and services.
1. www.e-commerce&services
• WEB MINING in Advertising based sites.
2.www.Inadversting.com
• WEB MINING in Repositories Information.
3.www.InRepository.sushil'sgmailaccount.com
• Note-above are the hyperlinks,add supportive
images.
29. Conclusion
• In today’s era where the entire world has become a global village and the driving
force is internet having ebusiness to internet blogs to search engines, the major
questions in front of the business users is while they would like to retain the
existing customers and also would like to understand the patterns and trends of
customer behavior so that their decisions can be supported with facts represented
with visualizations and appropriate reporting made possible with web mining. The
success of accuracy of deriving patterns is directly proportional to the amount of
sample data used for the data mining techniques.
• The advantages of using web mining in search engines and e-commerce, CRM,
customer behavior analysis, cross selling; web site service quality improvement is
noticeable. The recommendation of using web mining techniques can be applied
successfully with a keen analysis of clearly understood business needs and
requirements. Also one more governing factor is the amount of data, as the data is
voluminous the results can be more towards the correct trends and patterns to be
predicted from the given set of data.
• But although the web mining techniques can be applied to even the small web
sites with a few number of web pages and links within them, web mining may not
be the answer for its improvement as it will not be the optimum solution as far as
the cost factor in terms of parameters such as complexity of web mining
techniques using algorithms may not be recommended.
• Possible applications can be On-line social networking community software
applications can use web mining techniques to explore the effectiveness of on-line
networking, also areas such as knowledgemanagement web sites and web mining
can also be useful in bioinformatics, e-governance and e-learning.