Data pre-processing is a data mining technique that involves transforming raw data into an understandable format. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.
This ppt is about the cleaning and pre-processing.
This introductory section provides necessary concepts of what data type and data structure is. It provides overview on abstract data type and its implementation.
Brief introduction to histograms and instructions on using Excel's built in histogram functionality. Using min and max to find data range and create bin sizes
Data Warehouse Physical Design,Physical Data Model, Tablespaces, Integrity Constraints, ETL (Extract-Transform-Load) ,OLAP Server Architectures, MOLAP vs. ROLAP, Distributed Data Warehouse ,
Data Mining Techniques using WEKA (Ankit Pandey-10BM60012)Ankit Pandey
This term paper contains a brief introduction of a powerful data mining tool WEKA along with a hands-on guide to two data mining techniques namely Clustering (k-means) and Linear Regression using WEKA.
Data pre-processing is a data mining technique that involves transforming raw data into an understandable format. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.
This ppt is about the cleaning and pre-processing.
This introductory section provides necessary concepts of what data type and data structure is. It provides overview on abstract data type and its implementation.
Brief introduction to histograms and instructions on using Excel's built in histogram functionality. Using min and max to find data range and create bin sizes
Data Warehouse Physical Design,Physical Data Model, Tablespaces, Integrity Constraints, ETL (Extract-Transform-Load) ,OLAP Server Architectures, MOLAP vs. ROLAP, Distributed Data Warehouse ,
Data Mining Techniques using WEKA (Ankit Pandey-10BM60012)Ankit Pandey
This term paper contains a brief introduction of a powerful data mining tool WEKA along with a hands-on guide to two data mining techniques namely Clustering (k-means) and Linear Regression using WEKA.
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
UNIT - 1 Part 2: Data Warehousing and Data MiningNandakumar P
DBMS Schemas for Decision Support , Star Schema, Snowflake Schema, Fact Constellation Schema, Schema Definition, Data extraction, clean up and transformation tools.
Applying K-Means Clustering Algorithm to Discover Knowledge from Insurance Da...theijes
Data mining works to extract information known in advance from the enormous quantities of data which can lead to knowledge. It provides information that helps to make good decisions. The effectiveness of data mining in access to knowledge to achieve the goal of which is the discovery of the hidden facts contained in databases and through the use of multiple technologies. Clustering is organizing data into clusters or groups such that they have high intra-cluster similarity and low inter cluster similarity. This paper deals with K-means clustering algorithm which collect a number of data based on the characteristics and attributes of this data, and process the Clustering by reducing the distances between the data center. This algorithm is applied using open source tool called WEKA, with the Insurance dataset as its input
1. Discuss the structured system analysis and design methodologies
2. What is DSS? Discuss the components and capabilities of DSS.
3. Narrate the stages of SDLC
4. Define OOP. What are the applications of it?
In a Power plant with a Distributed Control System ( DCS ), process parameters are continuously stored in databases at discrete intervals. The data contained in these databases
may not appear to contain valuable relational information but practically such a relation exists.
The large number of process parameter values are changing with time in a Power Plant. These parameters are part of rules framed by domain experts for the expert system. With the changes in parameters there is a quite high possibility to form new rules using the dynamics of the process itself. We present an efficient algorithm that generates all significant rules based on the real data. The association based algorithms were compared and the best suited algorithm for this process application was selected. The application for the Learning system is studied in a Power Plant domain. The SCADA interface was developed to acquire online plant data
In a Power plant with a Distributed Control System ( DCS ), process parameters are continuously stored in
databases at discrete intervals. The data contained in these databases may not appear to contain valuable
relational information but practically such a relation exists. The large number of process parameter values
are changing with time in a Power Plant. These parameters are part of rules framed by domain experts for
the expert system. With the changes in parameters there is a quite high possibility to form new rules using
the dynamics of the process itself. We present an efficient algorithm that generates all significant rules
based on the real data. The association based algorithms were compared and the best suited algorithm for
this process application was selected. The application for the Learning system is studied in a Power Plant
domain. The SCADA interface was developed to acquire online plant data.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Introduction to XLMiner™ The Data mining add-in for Microsoft Excel. XLMiner and Microsoft Office are registered trademarks of the respective owners.
9. Introduction to Data Mining Definition: Data mining (or Knowledge Discovery) refers to the process of analyzing a give data set from different precepts and scenarios in order to discover patterns in the given data set Data mining is becoming an increasingly important tool to transform data into information. This information can help reveal the hidden trends about products, customer, market, employees and other factors critical for the success of a company. Data mining It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery, machine learning, Biotechnology etc. http://dataminingtools.net
10. Introduction to XLMiner XLMiner™ is a comprehensive data mining add-in for Excel. XLMiner can be used to mine data available in Excel worksheets. It includes capabilities that allow a miner to work with partitioning, neural networks, classification and regression trees, association rules, nearest neighbors, etc. With is ease of use and learning , XLMiner serves to be the perfect candidate tool to wet your feet in Data Mining as a novice miner. http://dataminingtools.net
14. Academic Research editionThe Demo edition and Educational Editions support only Excel. http://dataminingtools.net
15. How to get XLMiner The 30 day demo edition can be downloaded for free from the company website: http://www.resample.com/xlminer/index.shtml System Requirements: Once the download is complete , an installer wizard is opened. Follow the instruction in the wizard, and on completion open Excel and click on the “Add-Ins” tab to use XLMiner or double click on the XLMiner desktop icon. http://dataminingtools.net
16. Overview of the features of XLMiner Partition Data Data Utilities – (Sampling) Classification Affinity – (Association Rules) Prediction Time Series Analysis Data Reduction and exploration. Charting. http://dataminingtools.net
17. Brief description of the features of XLMiner: Partition Data Using this tool we can divide the data sets into mutually exclusive partitions i.e. partitions that do not overlap. Generally we partition the data set into 3 parts- Training Set. Validation set. Test set. We can create the partitions in two ways: Standard Partition: A default 60:40 Training :Validation set ratio partition is set as default, or we may specify it . Oversampling: Used when we want a particular data item which is important but under-represented in the set. http://dataminingtools.net
20. Brief description of the features of XLMiner: Classification XLMiner provides a host of classification tools that use efficient classification algorithms to classify data. Discriminant Analysis. Logistic Regression. Classification/Decision tree. Naïve Bayes. Neural network. K-nearest neighbor. http://dataminingtools.net
21. Brief description of the features of XLMiner: Affinity (Association Rules) Affinity or Association rules means finding interesting correlations or associations between different data items in the data set. Usually used for market basket analysis which gives the user a list of product recommendations based on the products he purchases. http://dataminingtools.net
22. Brief description of the features of XLMiner: Prediction XLMiner provides tools that can be used to predict the values of data items in the data sets using different prediction algorithms. Different prediction techniques are: Multiple Linear Regression K-nearest neighbor Regression Tree Neural Network http://dataminingtools.net
23. Brief description of the features of XLMiner: Time Series Time series analysis is done to understand the distribution of data points over time and such an analysis is useful for the purpose of prediction – for example, the future trends over time can be predicted by information extracted from the past performance Exploratory techniques are: ACF (Auto correlation function) PACF (Partial auto correlation function) Soothing and Forecasting http://dataminingtools.net
24. Brief description of the features of XLMiner: Data reduction and Exploration Data exploration is an approach to analyze data for the purpose of formulating hypothesis that can be worth testing. XLMiner provides different tools for this purpose Principal Component Analysis K-Means Clustering Hierarchical Clustering http://dataminingtools.net
25. Brief description of the features of XLMiner: Charts XLMiner provides a charting feature too to chalk up graphs and charts for a more visual and convenient representation of data. Different chart tools are: Histogram. Box Plot. Matrix Plot. http://dataminingtools.net
26. Thank you For more visit: http://dataminingtools.net http://dataminingtools.net
27. Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net