Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing OLAP , and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described.
|Published (Last):||18 November 2010|
|PDF File Size:||18.75 Mb|
|ePub File Size:||19.46 Mb|
|Price:||Free* [*Free Regsitration Required]|
Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.
Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications.
This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data. This time is necessary for searching and sorting links. One button - 15 links for downloading the book "Data Mining: Concepts and Techniques" in all e-book formats!
May need free signup required to download or reading online book. TOP15 e-Books:.
Data Mining: Concepts and Techniques by Micheline Kamber - PDF free download eBook
Download: Data Mining Concepts And Techniques By Jiawei Han And Micheline Kamber.pdf