NYU CSCI-GA 3033 - Data Mining- Introduction (37 pages)

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Data Mining- Introduction



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Data Mining- Introduction

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Pages:
37
School:
New York University
Course:
Csci-Ga 3033 - Cloud Computing
Cloud Computing Documents

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Data Mining Introduction Dr Hany Saleeb Chapter 1 Introduction Motivation Why data mining What is data mining Data Mining On what kind of data Data mining functionality Are all the patterns interesting Classification of data mining systems Major issues in data mining Motivation Necessity is the Mother of Invention Data explosion problem Automated data collection tools and mature database technology lead to tremendous amounts of data stored in databases data warehouses and other information repositories We are drowning in data but starving for knowledge Solution Data warehousing and data mining Data warehousing and on line analytical processing Extraction of interesting knowledge rules regularities patterns constraints from data in large databases Evolution of Database Technology 1960s Data collection database creation IMS and network DBMS 1970s Relational data model relational DBMS implementation 1980s RDBMS advanced data models extended relational OO deductive etc and application oriented DBMS spatial scientific engineering etc 1990s 2000s Data mining and data warehousing multimedia databases and Web databases What Is Data Mining 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 What is not data mining Deductive query processing Expert systems or statistical programs Why Data Mining Potential Applications Database analysis and decision support Market analysis and management target marketing customer relation management market basket analysis cross selling market segmentation Risk analysis and management Forecasting customer retention improved underwriting quality control competitive analysis Fraud detection and management Other Applications Text mining news group documents and Web analysis Intelligent query answering Scope of Data Mining Management s Decision World Interface Data Miner s Analytical World Business outlook Problem



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