Research Catalog
Advanced techniques in knowledge discovery and data mining
- Title
- Advanced techniques in knowledge discovery and data mining / Nikhil R. Pal and Lakhmi Jain (eds.).
- Publication
- New York : Springer-Verlag, 2004.
Items in the Library & Off-site
Filter by
1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Request in advance | QA76.76.E95 A335 2004 | Off-site |
Holdings
Details
- Additional Authors
- Description
- xii, 254 pages : illustrations; 24 cm.
- Summary
- "The information explosion has necessitated the development of intelligent tools for extracting useful knowledge from data. This book presents research on some of the most recent advances in data mining and knowledge discovery, and provides the theory as well as its applications on practical real world problems. In addition, the methodologies discussed encompass tools like Bayesian networks as well as major facets of computational intelligence paradigms such as neural networks, evolutionary computing, neuro-fuzzy computing and rough sets." "Advanced Techniques in Data Mining and Knowledge Discovery presents both practical detail and some of the most up-to-date theory in the field, which would be useful for postgraduate students, researchers, application engineers and professors who wish to develop applications using advanced data mining and knowledge discovery techniques."--BOOK JACKET.
- Series Statement
- Advanced information and knowledge processing
- Uniform Title
- Advanced information and knowledge processing.
- Alternative Title
- Advanced techniques in data mining and knowledge discovery
- Subjects
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Ch. 1. Trends in data mining and knowledge discovery -- Ch. 2. Advanced methods for the analysis of semiconductor manufacturing process data -- Ch. 3. Clustering and visualization of retail market baskets -- Ch. 4. Segmentation of continuous data streams based on a change detection methodology -- Ch. 5. Instance selection using evolutionary algorithms : an experimental study -- Ch. 6. Using cooperative coevolution for data mining of Bayesian networks -- Ch. 7. Knowledge discovery and data mining in medicine -- Ch. 8. Satellite image classification using cascaded architecture of neural fuzzy network -- Ch. 9. Discovery of positive and negative rules from medical databases based on rough sets.
- ISBN
- 1852338679 (alk. paper)
- LCCN
- 2004050953
- OCLC
- 55682342
- ocm55682342
- SCSB-5199452
- Owning Institutions
- Columbia University Libraries