"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
This book, Learning Data Mining and Data Warehousing covers all aspects of data warehousing and mining in an easy to read and understand manner. It covers a varios topics, such as data warehousing and its benefits; architecture of data warehouse; data mart, data warehousing design strategies, dimensional modeling and features of a good dimensional model; different types of schemas such as star schema, snowflake schema; fact tables and dimension tables; concept of primary key, surrogate keys and foreign keys; ETL process; different types of data extraction such as immediate data extraction and deferred data extraction; Online Analytical Processing (OLAP) and need for online analytical processing etc. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation.
Rupal Chaudhary
Rupal Chaudhary received the M.Tech. degree in Computer Science and pursuing Phd in Computer Science. She is working as an Assistant Professor in the Department of Computer Science, Sir Chhotu Ram Institute of Engineering and Technology, C. C. S.University Meerut, Uttar Pradesh, India. Her current research interests include Digital Image Processing, Data Mining, and Software Project Management. She has huge professional experience in information systems, security policies and technologies. She has published 3 books in the area of Computer Science. She has published more than 10 research papers in leading journals, conference proceedings. He holds several memberships with professional research organization IEEE and ACM.
