Yada, Katsutoshi
Data Mining for Service
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)
- Yada, Katsutoshi
- Publisher
- Springer
- Publication year
- 2014
- Language
- en
- Edition
- 2014
- Series
- Studies in Big Data
- Page amount
- 8 pages
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9783642452529