Advanced Techniques in Knowledge Discovery and Data Mining [electronic resource] /edited by Nikhil R. Pal, Lakhmi Jain.
by Pal, Nikhil R [editor.]; Jain, Lakhmi [editor.]; SpringerLink (Online service).
Material type:
BookSeries: Advanced Information and Knowledge Processing: Publisher: London : Springer London, 2005.Description: XII, 254 p. 101 illus. online resource.ISBN: 9781846281839.Subject(s): Computer science | Data structures (Computer science) | Computer software | Database management | Information systems | Computer Science | Data Structures, Cryptology and Information Theory | Data Structures | Database Management | Information Systems Applications (incl.Internet) | Algorithm Analysis and Problem ComplexityDDC classification: 005.74 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.9.D35 (Browse shelf) | Available |
Browsing MAIN LIBRARY Shelves Close shelf browser
| QA76.9.D35 Identity-Based Encryption | QA76.9.D35 Mapping Scientific Frontiers | QA76.9.D35 Designing Sorting Networks | QA76.9.D35 Advanced Techniques in Knowledge Discovery and Data Mining | QA76.9.D35 Data Compression | QA76.9.D35 A Concise Introduction to Data Compression | QA76.9.D35 Trends in Interactive Visualization |
Trends in Data Mining and Knowledge Discovery -- Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data -- Clustering and Visualization of Retail Market Baskets -- Segmentation of Continuous Data Streams Based on a Change Detection Methodology -- Instance Selection Using Evolutionary Algorithms: An Experimental Study -- Using Cooperative Coevolution for Data Mining of Bayesian Networks -- Knowledge Discovery and Data Mining in Medicine -- Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network -- Discovery of Positive and Negative Rules from Medical Databases Based on Rough Sets.
This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: Recent trends in data mining and knowledge discovery Advanced data mining techniques in semi-conductor manufacturing Clustering and visualization in retail markets baskets Segmentation of continuous data Instance selection using evolutionary algorithms Cooperative co-evolution for data mining of Bayesian networks Knowledge discovery and data mining in medicine Satellite image classification Knowledge discovery using rough sets This book presents both practical detail and some of the most up-to-date theory in the field, useful for postgraduates and those who wish to develop applications using advanced data mining and knowledge discovery techniques.
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