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1. Data Mining:Concepts and Techniques — Chapter 2 — 2. Chapter 2: Data Warehousing and OLAP Technology for Data Mining What is a data warehouse?A multi-dimensional data…

Education 11666 Bitt I 2008 Lect3

1. BITT-I LECTURE-3 2. What is Data Warehouse? Defined in many different ways, but not rigorously. A decision support database that is maintainedseparatelyfrom the organization’s…

Documents Chapter 2

1. Data Mining:Concepts and Techniques — Slides for Textbook —— Chapter 2 — © Jiawei Han and Micheline Kamber Intelligent Database Systems Research Lab School of…

Documents DW and OLAP

1. Chapter 2: Data Warehousing and OLAP Technology for Data Mining What is a data warehouse?A multi-dimensional data model Data warehouse architecture Data warehouse implementation…

Documents 2. Data warehousing and OLAP

1. Data Mining:Concepts and Techniques — Slides for Textbook —— Chapter 2 — ©Jiawei Han and Micheline Kamber Department of Computer ScienceUniversity of Illinois…

Business 11667 Bitt I 2008 Lect4

1. BITT-I LECTURE-3 2. What is Data Warehouse? Defined in many different ways, but not rigorously. A decision support database that is maintainedseparatelyfrom the organization’s…

Education 02 Data Mining

1. Data Mining: Concepts and Techniques — Chapter 2 —Jiawei Han Department of Computer Science University of Illinois at Urbana-Champaign www.cs.uiuc.edu/~hanj ©2006…

Technology Clustering: A Survey

1. Clustering:A surveyR. CapaldoF. Collovà[email protected]@gmail.com http://uroutes.blogspot.com/ 01/10/2008Raffaele Capaldo - Francesco Collovà…

Documents Data Warehouse and OLAP Technology - II

1. DATA WAREHOUSEAND OLAP TECHNOLOGYPART - 2 By Group No: 11 George John (105708964) Sunil Prabhakar (105709103) Lohit Vijayarenu (105709307) Sathyanarayana Singh (105709185)…

Documents UNIT – 1 Data Preprocessing. Data Preprocessing Learning Objectives Understand why preprocess the....

Slide 1UNIT – 1 Data Preprocessing Slide 2 Data Preprocessing Learning Objectives Understand why preprocess the data. Understand how to clean the data. Understand how to…