1 edition of Data mining and knowledge discovery handbook found in the catalog.
Includes bibliographical references and index.
|The Physical Object|
|Pagination||xvi, 63 p. :|
|Number of Pages||41|
nodata File Size: 5MB.
- Bias vs variance decomposition for regression and classification. Companies often have gigabytes of data that need to be analysed.
A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases. - Statistical methods for data mining. - Part V Supporting methods. - Part VI Advanced methods.
… The book is a comprehensive and detailed reference. - Dimension Reduction and feature selection. Although we do not Data mining and knowledge discovery handbook any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data.
Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. Due to the availability of lithogeochemical regular data in the region as well as the importance of exploration of metal minerals in order to simplify and summarize the geochemical map, geostatistical methods were used to identify the mineralization potential of the region.
Dimensions 155 x 235 x 50. - Mining with rare cases. - Bias vs variance decomposition for regression and classification. It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area.
It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area. - Mining with rare cases.
This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.
The book covers data in many different fields.
- A review of web document clustering approaches.