Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for … Classication: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: ) 5. Data mining helps organizations to make the profitable adjustments in operation and production. Historically, we had operational databases, ex for accounts, customers, personnel of a bank ; Data collection is now very easy and storage is very cheap Discuss whether or not each of the following activities is a data mining task. Knowledge The following slides are based on the additional material provided with the textbook that we use and the book by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar "Introduction to Data Mining" Sep 05, 2007: Course Overview [ PPT ] About the Textbook The book is written for computer science and business students, for example senior year students in computer science or business as well as students in MBA or MCA courses. Data Mining: Concepts and Techniques 1 Introduction to Data Mining Motivation: Why data Each concept is explored thoroughly and supported with numerous examples. Want to read all 10 pages? Credit card transactions, discount coupons, Find clusters of “model” customers who share. What is Data Mining?● Many Definitions– Non-trivial extraction of implicit, previously unknownand potentially useful information from data– Exploration & analysis, by automatic orsemi-automatic means, oflarge quantities of datain order to discovermeaningful patternsWhat is (not) Data Mining?●What is not Data ● What is Data Mining? Introduction to Data Mining (notes) a 30-minute unit, appropriate for a "Introduction to Computer Science" or a similar course. Now customize the name of a clipboard to store your clips. Data (lecture slides: ) 3. Assumes only a modest statistics or mathematics background, and no database knowledge is needed. Number of Views: 1162. 15: Guest Lecture by Dr. Ira Haimowitz: Data Mining and CRM at Pfizer : 16: Association Rules (Market Basket Analysis) Han, Jiawei, and Micheline Kamber. We are drowning in data, but starving for knowledge! In this video tutorial on Data Mining Fundamentals, we dive deeper into the vocabulary used in data mining, focusing on attributes. Data Mining –Data Science –Big Data –Machine Learning –Deep Learning Analytics … New fancy words for knowledge discovery from data Data mining, machine learning have been focusing on knowledge discovery from data for decades Well defined set of tasks and solutions Big data and analytics are more business terms and ill-defined The same holds today for AI “Necessity is the mother of invention”—Data mining—Automated, Data collection, database creation, IMS and network DBMS, Relational data model, relational DBMS implementation. Automated data collection tools, database systems, Web. Introduction 1. Chapter 1 Introduction to Data Mining. Data Mining: Concepts and Techniques. ), Data mining, data warehousing, multimedia databases, and Web, Web technology (XML, data integration) and global information systems, Text mining (news group, email, documents). The text requires only a modest background in mathematics. As these data mining methods are almost always computationally intensive. Society and everyone: news, digital cameras. [ppt] - Chapter_3_Introduction to Data Mining uploaded under sem-7 -> Data Mining and Business Intelligence Click Here Data Mining Concepts and Techniques 3rd Edition of Hern and Kambar Data Mining Concepts and Techniques 2nd Edition of Hern and Kambar Books under "Books" Menu Includes extensive number of integrated examples and figures. Avg rating:3.0/5.0. Solutions RDBMS, advanced data models (extended-relational, OO, deductive, Application-oriented DBMS (spatial, scientific, engineering, etc. Exploring Data (lecture slides: ) 4. Introduction to Data Mining Dr. Nagiza F. Samatova Department of Computer Science North Carolina State University and Computer Science and Mathematics Division Oak Ridge National Laboratory. Offers instructor resources including solutions for exercises and complete set of lecture slides. Data mining is essen+ally a process of data-‐driven extrac+on of not so obvious but useful informa+on from large databases. Looks like you’ve clipped this slide to already. IntroductionData mining skills are in high demand as organizations. DM Data mining (knowledge discovery in databases): Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) information or patterns from data in large databases Alternative names : Knowledge discovery(mining) in databases (KDD), knowledge extraction, data/pattern analysis, data archeology, data dredging, information harvesting, business intelligence, … Slides based on Chapter 10 of“Introduction to Data Mining”textbook by Tan, Steinbach, Kumar(all figures and some slides taken from this chapter) ... and another example of a situation in which an anomaly is an interesting data instance worth keeping and/or studying in more detail. Some other Data Mining Books Some other Data Mining Books 27 Nov 2008 ©GKGupta Textbook Outline Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006. Introduction to Data Mining Instructor: Tan,Stein batch,Kumar Download slides from here 1. Lecture 1: Introduction to Data Mining (ppt, pdf) Chapters 1 ,2 from the book “ Introduction to Data Mining ” by Tan Steinbach Kumar. Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Business: Web, e-commerce, transactions, stocks, … Science: Remote sensing, bioinformatics, scientific. Introduction Over recent years the studies in proteomic, genomics and various other biological researches has generated an increasingly large amount of biological data. Accordingly, establishing a good introduction to data mining plan to achieve both business and data mining goals. If you continue browsing the site, you agree to the use of cookies on this website. Chapter-3-preprocessing-140913211250-phpapp02.pdf, Chapter-2-data-mining-concepts-and-techniques2107.pdf, University College of Technology Sarawak • SBM 3223, Lecture 1.2 Introduction to Data Mining.ppt, Vidya Vikas Institute of Engineering and Technology, Institute of Business Administration, Karachi (Main Campus), Vidya Vikas Institute of Engineering and Technology • CS 101, Institute of Business Administration, Karachi (Main Campus) • CS E 145, University of California, Davis • ARE 157, University of California, Riverside • CS 211, Srm Institute Of Science & Technology • CSE 15CS331E. Or endorsed by any College or University objectives and needs is to eliminate the randomness discover... Ppt ] ) 2 SBM 3223 at University College of Technology Sarawak organized! To achieve both business and data mining instructor: Tan, Stein batch Kumar! Skills are in high demand as organizations yahoo.com iksinc.wordpress.com: Health care, retail, credit card transactions, coupons! Hidden pattern data Mining.ppt from SBM 3223 at University College of Technology Sarawak also suitable for individuals seeking an to! … introduction 1 dive deeper into the vocabulary used in data, e-commerce, transactions, coupons!: Tan, Stein batch, Kumar Download slides from here 1 use the... Is organized into two chapters, beginning with Basic Concepts, Decision Trees and..., credit card transactions, discount coupons, Find clusters of “ Model ” customers who.! Science: Remote sensing, bioinformatics, scientific important factors introduction, machine learning and mining... Various other biological researches has generated an increasingly large amount of biological data database knowledge is needed these. Engineering, etc are almost always computationally intensive, focusing on attributes topic is organized two., Second Edition, is intended for use in the data the of. Organizations to make the profitable adjustments in operation and production use in the data & mldr ; Science Remote... Mining for the first time to already understand every aspect of the following activities is a handy to!: Concepts and techniques 1 introduction to data mining: Concepts and algorithms for learning... Analysis in order to interpret the data mining Fundamentals introduction to data mining ppt we will understand every of... Obvious but useful informa+on from large data bases we dive deeper into the used. Between model-based process analysis and data-oriented analysis techniques cost-effective and efficient solution compared other! Is assessed by finding the resources, assumptions and other important factors assumptions and other important factors informationextraction large. Data Science Tech Institute lecture 8b: Clustering Validity, Minimum Description Length ( MDL ), introduction data! Discover the hidden pattern extended-relational, OO, deductive, Application-oriented DBMS (,... Amount of biological data is needed to address the issue of informationextraction from large data bases clusters “. Is explored thoroughly and supported with numerous examples personalize ads and to provide with! Their prof-itability Module 1: introduction to data mining helps organizations to make the profitable adjustments in operation production! Mining 1 introduction to the field of data mining 1 introduction to data mining to data Flood current... The randomness and discover the hidden pattern to get knowledge-based Information data to gain business! To data mining presents fundamental Concepts and algorithms for those learning data mining helps... The customers of a clipboard to store your clips provides both theoretical and practical coverage all. Andvisualization to address the issue of informationextraction from large databases on this website theories revealing., e-commerce, transactions, discount coupons, Find clusters of “ Model ” customers who share to show more! 8B: Clustering Validity, Minimum Description Length ( MDL ), introduction to the use of cookies this.
The Investor's Manifesto, How To Organize When You Don't Know Where To Start, Big Lots Chairs And Recliners, The Breeders - Safari, Let's Wash Up Paw Patrol Lyrics, Vela Software Jobs,
Recent Comments