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Yada, Katsutoshi

Data Mining for Service

Yada, Katsutoshi - Data Mining for Service, ebook

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ISBN: 9783642452529
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Table of contents

Part I. Fundamental Technologies Supporting Service Science

1. Data Mining for Service
Katsutoshi Yada

2. Feature Selection Over Distributed Data Streams
Jacob Kogan

3. Learning Hidden Markov Models Using Probabilistic Matrix Factorization
Ashutosh Tewari, Michael J. Giering

4. Dimensionality Reduction for Information Retrieval Using Vector Replacement of Rare Terms
Tobias Berka, Marian Vajteršic

5. Panel Data Analysis Via Variable Selection and Subject Clustering
Haibing Lu, Shengsheng Huang, Yingjiu Li, Yanjiang Yang

Part II. Knowledge Discovery from Text

6. A Weighted Density-Based Approach for Identifying Standardized Items that are Significantly Related to the Biological Literature
Omar Al-Azzam, Jianfei Wu, Loai Al-Nimer, Charith Chitraranjan, Anne M. Denton

7. Nonnegative Tensor Factorization of Biomedical Literature for Analysis of Genomic Data
Sujoy Roy, Ramin Homayouni, Michael W. Berry, Andrey A. Puretskiy

8. Text Mining of Business-Oriented Conversations at a Call Center
Hironori Takeuchi, Takahira Yamaguchi

Part III. Approach for New Services in Social Media

9. Scam Detection in Twitter
Xiaoling Chen, Rajarathnam Chandramouli, Koduvayur P. Subbalakshmi

10. A Matrix Factorization Framework for Jointly Analyzing Multiple Nonnegative Data Sources
Sunil Kumar Gupta, Dinh Phung, Brett Adams, Svetha Venkatesh

11. Recommendation Systems for Web 2.0 Marketing
Chen Wei, Richard Khoury, Simon Fong

Part IV. Data Mining Spreading into Various Service Fields

12. Handling Imbalanced and Overlapping Classes in Smart Environments Prompting Dataset
Barnan Das, Narayanan C. Krishnan, Diane J. Cook

13. Change Detection from Heterogeneous Data Sources
Tsuyoshi Idé

14. Interesting Subset Discovery and Its Application on Service Processes
Maitreya Natu, Girish Keshav Palshikar

15. Text Document Cluster Analysis Through Visualization of 3D Projections
Masaki Aono, Mei Kobayashi

Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Operation Research/Decision Theory

Author(s)
Publisher
Springer
Publication year
2014
Language
en
Edition
2014
Series
Studies in Big Data
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783642452529

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