Research and Trends in Data Mining Technologies and Applications 1st Edition by David Taniar – Ebook PDF Instant Download/Delivery: 9781599042732, 1599042738
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Product details:
ISBN 10: 1599042738
ISBN 13: 9781599042732
Author: David Taniar
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers’ toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
Table of contents:
Section I: Data Warehousing and Mining
Chapter I: Combining Data Warehousing and Data Mining Techniques for Web Log Analysis
Chapter II: Computing Dense Cubes Embedded in Sparse Data
Chapter III: Exploring Similarities Across High-Dimensional Datasets
Section II: Patterns
Chapter IV: Pattern Comparison in Data Mining: A Survey
Chapter V: Mining Frequent Patterns Using Self-Organizing Map
Chapter VI: An Efficient Compression Technique for Vertical Mining Methods
Section III: Data Mining in Bioinformatics
Chapter VII: A Tutorial on Hierarchical Classification with Applications in Bioinformatics
Chapter VIII: Topological Analysis and Sub-Network Mining of Protein-Protein Interactions
Section IV: Data Mining Techniques
Chapter IX: Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and
Chapter X: Linguistic Rule Extraction from Support Vector Machine Classifiers
Chapter XI: Graph-Based Data Mining
Chapter XII: Facilitating and Improving the Use of Web Services with Data Mining
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Tags: David Taniar, Research, Trends, Mining, Technologies