Data Mining: Concepts and Techniques: The Morgan Kaufmann Series in Data Management Systems
Autor Jiawei Han, Jian Pei, Hanghang Tongen Limba Engleză Paperback – 26 oct 2022
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 classificcation 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 propagattion), data mining methodologie 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
- Visit the author-hosted companion site, https://hanj.cs.illinois.edu/bk4/ for downloadable lecture slides and errata
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Specificații
ISBN-13: 9780128117606
ISBN-10: 0128117605
Pagini: 752
Dimensiuni: 191 x 235 x 36 mm
Greutate: 1.19 kg
Ediția:4
Editura: ELSEVIER SCIENCE
Seria The Morgan Kaufmann Series in Data Management Systems
ISBN-10: 0128117605
Pagini: 752
Dimensiuni: 191 x 235 x 36 mm
Greutate: 1.19 kg
Ediția:4
Editura: ELSEVIER SCIENCE
Seria The Morgan Kaufmann Series in Data Management Systems
Public țintă
Upper-level undergrads and graduate students studying data mining in computer science programs. Data warehouse engineers, data mining professionals, database researchers, statisticians, data analysts, data modelers, and other data professionals working on data mining at the R&D and implementation levelsCuprins
1. Introduction
2. Data, measurements, and data processing
3. Data warehousing and online analytical processing
4. Pattern mining: basic concepts and methods
5. Pattern mining: advanced methods
6. Classification: basic concepts and methods
7. Classification: advanced methods
8. Cluster analysis: basic concepts and methods
9. Cluster analysis: advanced methods
10. Deep learning
11. Outlier Detection
12. Data mining trends and research frontiers
Appendix: Mathematical background
2. Data, measurements, and data processing
3. Data warehousing and online analytical processing
4. Pattern mining: basic concepts and methods
5. Pattern mining: advanced methods
6. Classification: basic concepts and methods
7. Classification: advanced methods
8. Cluster analysis: basic concepts and methods
9. Cluster analysis: advanced methods
10. Deep learning
11. Outlier Detection
12. Data mining trends and research frontiers
Appendix: Mathematical background