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Note for Data Mining And Data Warehousing - DMDW by Tushina Gandhi

  • Data Mining And Data Warehousing - DMDW
  • Note
  • Ip university - Ait
  • Computer Science Engineering
  • B.Tech
  • 8 Topics
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Data Mining: . 1 1

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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

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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

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July 7, 2018 Data Mining: Concepts and Techniques 4

Lecture Notes