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Research and trends in data mining technologies and applications.

Authors :
Taniar, David
Publication Year :
2007

Abstract

Summary: "This book focuses on the integration between the fields of data warehousing and data mining, with emphasis on applicability to real-world problems; it book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures and design offer answers and solutions"--Provided by publisher.

Details

Language :
English
ISBN :
9781599042718 (hbk.)
ISBNs :
9781599042718
Database :
Jio Institute Digital Library OPAC
Journal :
Research and trends in data mining technologies and applications / David Taniar [editor].
Notes :
Includes bibliographical references and index., PART I: DATA WAREHOUSING and MINING 1. Combining data warehousing and data mining techniques for web log analysis 2. Computing Dense Cubes Embedded in Sparse Data 3. Exploring Similarities across High-dimensional Datasets PART II: PATTERNS 4. Pattern Comparison in Data Mining: a survey 5. Mining Frequent Patterns using Self-Organizing Map 6. An Efficient Compression Technique for Vertical Mining Methods PART III: DATA MINING in BIOINFORMATICS 7. A Tutorial on Hierarchical Classification with Applications in Bioinformatics 8. Topological Analysis and Sub-Network Mining of Protein-Protein Interactions PART IV: DATA MINING TECHNIQUES 9. Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications 10. Linguistic Rule Extraction from Support Vector Machine Classifiers 11. Graph-based Data Mining 12. Facilitating and improving the use of web services with data mining.
Publication Type :
Book
Accession number :
jio.Koha.JDL.3975
Document Type :
Bibliographies; Non-fiction