Data Mining: Know It All
(inbunden)Know it All
av Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Gting, Jiawei Han
- Format:
- Inbunden (hardback)
- Utgiven:
- 2008-12-01
- Språk:
- Engelska
The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.
This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.
- Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.
- Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions.
- Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
(Computer Bookshops Limited)
Fler böcker av författarna
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Data Mining: Practical Machine Learning Tools and Te...Ian H Witten, Eibe Frank, Mark A Hall (häftad) |
Mining the WebSoumen Chakrabarti (inbunden) |
Data Mining: Concepts and Techniques 3rd EditionJiawei Han, Micheline Kamber, Jian Pei (inbunden) |
Mining Software SpecificationsDavid Lo, Khoo Siau Cheng, Jiawei Han, Chao Liu (inbunden) | |||
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353:- Köp
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492:- Köp
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377:- Köp
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591:- Köp
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Kundrecensioner
Bloggat om Data Mining: Know It All
Övrig information
Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography. He has written several books, the latest being Managing Gigabytes (1999) and Data Mining (2000), both from Morgan Kaufmann.
(Computer Bookshops Limited)
Innehållsförteckning
Chapter 1: Data Mining Overview
Chapter 2: Data Acquisition and Integration
Chapter 3: Data Pre-processing
Chapter 4: Physical Design for Decision Support, Warehousing, and OLAP
Chapter 5: Algorithms - The Basic Methods
Chapter 6: Further Techniques in Decision Analysis
Chapter 7: Fundamental Concepts of Genetic Algorithms
Chapter 8: Spatio-Temporal Data Structures and Algorithms for Moving Objects Types
Chapter 9: Improving the Mined Model
Chapter 10: Web Mining - Social Network Analysis
(Computer Bookshops Limited)
