Data Mining Concepts and Techniques by Cameron Zak (.ePUB)+
File Size: 77 MB
Data Mining Concepts and Techniques: Complete Guide to a Comprehensive Understanding of Data Mining by Cameron Zak
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 77 MB
Overview: Data Mining provides the concepts and techniques in processing gathered data or information used in several applications. Specifically, it explains and defines data mining and the tools used in discovering knowledge from the collected data.
This book is referred to as knowledge discovery from data. It focuses on the feasibility, usefulness, scalability, and the effectiveness of techniques of large data sets.
After describing data mining, this book explains the methods of knowledge processing, preprocessing, and warehousing data. It then presents information about online analytical processing and data warehousing, and data cube technology. The techniques involved in frequent mining patterns, association, and correlations for large data sets are described.
This book also contains the details methods for data classification, and introduces the concepts and techniques for data clustering, discusses the various aspects of data mining from the basics to the diverse data forms and their implementations. The performance of advanced data forms such as text, time series, discrete sequences, spatial data, graph data, and social networks goes beyond the conventional emphasis on data mining problems.
Up till now, no single book has dealt with all of these problems in a detailed and integrated manner. This book can also cover more advanced topics, such as memory-based reasoning and collaborative data filtering, link analysis, and developing the appropriate data mining infrastructure for your business, including information on best practices to use data mining approaches.
Genre: Non-Fiction > Tech & Devices
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