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Data Mining And Data Warehousing

by Tushina GandhiTushina Gandhi
Type: NoteInstitute: Ip university Course: B.Tech Specialization: Computer Science EngineeringViews: 13Uploaded: 5 months ago

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Tushina Gandhi
Tushina Gandhi
Data Mining: . 1 1
Chapter 1. Introduction  Why Data Mining?  What Is Data Mining?  What Kind of Data Can Be Mined?  What Kinds of Patterns Can Be Mined?  What Technology Are Used?  What Kind of Applications Are Targeted?  Major Issues in Data Mining  A Brief History of Data Mining and Data Mining Society  Summary 2
Why Data Mining?  The Explosive Growth of Data: from terabytes to petabytes ◦ Data collection and data availability  Automated data collection tools, database systems, Web, computerized society ◦ Major sources of abundant data  Business: Web, e-commerce, transactions, stocks, …  Science: Remote sensing, bioinformatics, scientific simulation, …  Society and everyone: news, digital cameras, YouTube  We are drowning in data, but starving for knowledge!  “Necessity is the mother of invention”—Data mining— Automated analysis of massive data sets 3
July 7, 2018 Data Mining: Concepts and Techniques 4

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