Data Mining: Concepts and Techniques (Fourth Edition) (The Morgan Kaufmann Series in Data Management Systems)
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- Synopsis
-
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets.
After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classification and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.
Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks. Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagation), data mining methodologies and systems, and data mining and society. Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data
- Copyright:
- 2023
Book Details
- Book Quality:
- Excellent
- Book Size:
- 782 Pages
- ISBN-13:
- 9780128117606
- Publisher:
- Elsevier Science & Technology Books
- Date of Addition:
- 01/24/24
- Copyrighted By:
- Elsevier Inc.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Daproim Africa
- Proofread By:
- Daproim Africa
- Usage Restrictions:
- This is a copyrighted book.
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