Data Mining: Know it All
Samenvatting
'Data Mining: Know it All' brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics - from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. 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.
Key features:
- Features chapter contributed by recognized experts in the field, letting you remain up-to-date and fully informed from multiple viewpoints
- Present multiple methods of analysis and algorithmic problem-solving techniques, enhancing your technical expertise and ability to implement practical solutions
- Cover both theory and practice, bringing all of the elements of data mining together in a single volume and saving you the time and expense of making multiple purchases.
Specificaties
Inhoudsopgave
Contributing Authors
1. What's all about?
2. Data Acquisition and Integration
3. Data Pre-processing
4. Physical Design for Decision Support, Warehousing, and OLAP
5. Algorithms - The Basic Methods
6. Further Techniques in Decision Analysis
7. Fundamental Concepts of Genetic Algorithms
8. Data Structures and Algorithms for Moving Objects Types
9. Improving the Model
10. Social Network Analysis
Index