PDF | This paper will discuss the general relationship between data mining tools and data warehousing system, especially on how the data needs to be prepared in the data warehouse before being CS2032 Data Warehousing Data Mining SCE Department of Information Technology QUALITY CERTIFICATE This is to certify that the e-course material Subject Code : CS2032 Subject :Data Warehousing and Data Mining Class : III Year IT being prepared by me and it meets the knowledge requirement of the university curriculum. Data Mining: Concepts and Techniques - Sabanc? Universitesi Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications John Wang Montclair State University, USA Library of Congress Cataloging-in-Publication Data Data warehousing and mining : concepts, methodologies, tools and applications / John Wang, editor. Data Warehousing Vs Data Mining Data Warehousing is the process of compiling and organizing data into one common database and Data Mining is the process of extracting meaningful data from that database. The Data Mining process relies on the data compiled in the Data Warehousing phase in order to detect meaningful patterns. Data required for the analysis are identified and brought from the data source. This is the first step in data mining process. Data source can be from operational or historical database or from a data warehouse. 2.2. Data Preprocessing It involves Data Cleaning and Data Integration. 2.3. Data Cleaning Data Warehousing Data Mining Study Materials. Data Warehousing Data Mining Study Materials: The detailed Study Materials/lecture notes of B.Tech Computer Science Engineering 4-1 Data Warehousing and Data Mining are provided for all Students of JNTUH,JNTUK,JNTUA by JNTUWORLDFORUM. The term "Data Warehouse" was first coined by Bill Inmon in 1990. According to Inmon, a data warehouse is a subject oriented, integrated, time-variant, and non-volatile collection of data. ultidisciplinary eld of data mining. It dis