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Visual Analytics and Interactive Technologies Data Text and Web Mining Applications Premier Reference Source 1st Edition by Qingyu Zhang, Mei Cao, Richard S Segall ISBN 978-1609601027 1609601025

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Visual Analytics and Interactive Technologies Data Text and Web Mining Applications Premier Reference Source 1st Edition Qingyu Zhang Digital Instant Download

Author(s): Qingyu Zhang, Richard S. Segall, Mei Cao
ISBN(s): 9781609601027, 1609601025
Edition: 1
File Details: PDF, 5.49 MB
Year: 2011
Language: english
SKU: EB-2367810 Category: Tags: , ,

Visual Analytics and Interactive Technologies Data Text and Web Mining Applications Premier Reference Source 1st Edition by Qingyu Zhang,  Mei Cao,  Richard S Segall  – Ebook PDF Instant Download/Delivery: 978-1609601027, 1609601025
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Product details: 

ISBN 10:  1609601025

ISBN 13: 978-1609601027

Author: Qingyu Zhang,  Mei Cao,  Richard S Segall

Large volumes of data and complex problems inspire research in computing and data, text, and Web mining. However, analyzing data is not sufficient, as it has to be presented visually with analytical capabilities. Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing. This publication provides a coherent set of related works on the state-of-the-art of the theory and applications of mining, making it a useful resource for researchers, practitioners, professionals and intellectuals in technical and non-technical fields.
 

Table of contents: 

Part 1: Concepts, Algorithms, and Theories

  1. Towards the Concept of Representative Documents in Large Document Collections
    Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Krzysztof Ciesielski, Michał Dramiński, Dariusz Czerski

  2. Data Mining Techniques for Outlier Detection
    N N R Ranga Suri, M Narasimha Murty, G Athithan

  3. Using an Ontology-Based Framework for Extracting External Web Data for Databases
    Charles Greenidge, Hadrian Peter

  4. Dimensionality Reduction for Interactive Visual Clustering: A Comparative Analysis
    P. Alagambigai, K. Thangavel

Part 2: Applications of Mining and Visualization

  1. Database Mining with ANN Using Graph Evolution Method
    Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos

  2. An Optimal Classification of Feature Selection Methods for Knowledge Discovery
    Harleen Kaur, Ritu Chauhan, M. A. Alam

  3. From Data to Knowledge: Data Mining
    Tri Kurniawan Wijaya

  4. Risk Analysis of Patent Infringement Using Rough Set Theory
    Chun-Che Huang, Tzu-Liang (Bill) Tseng, Hao-Syuan Lin

  5. Survey Visualization Analysis in Marketing
    Marko Robnik-Sikonja, Koen Vanhoof

  6. Evaluation of Data Mining Methods for Analyzing Student Success Rates in Insurance Programs
    Alan Olinsky, Phyllis Schumacher, John Quinn

  7. A Robust Biclustering Approach for Effective Web Personalization
    H. Hannah Inbarani, K. Thangavel

  8. Web Mining and Social Network Analysis
    Roberto Marmo

Part 3: Imaging Systems, Software, and Supercomputers

  1. ¡VAS: An Interactive Visualization System for Frequent Itemset Mining
    Carson Kai-Sang Leung, Christopher L. Carmichael

  2. Mining Mammogram Images Using Genetic Ant-Miner
    K. Thangavel, R. Roselin

  3. Using SciDBMaker as a Tool for Designing Specialized Biological Databases
    Riadh Hammami, Ismail Fliss

  4. Interactive Visualization Tools for Analyzing Large Image Databases
    Anca Doloc-Mihu

  5. Supercomputers and Supercomputing
    Jeffrey S. Cook

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Tags: Qingyu Zhang, Mei Cao, Richard S Segall, Visual Analytics, Interactive Technologies, Mining Applications