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ORCIDData Classification: Algorithms and Applications 2014
- Charu C. Aggarwal:
Data Classification: Algorithms and Applications. CRC Press 2014, ISBN 978-1-4665-8674-1 - Charu C. Aggarwal:
An Introduction to Data Classification. 1-36 - Jiliang Tang, Salem Alelyani, Huan Liu:
Feature Selection for Classification: A Review. 37-64 - Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han:
Probabilistic Models for Classification. 65-86 - Victor E. Lee, Lin Liu, Ruoming Jin:
Decision Trees: Theory and Algorithms. 87-120 - Xiaoli Li, Bing Liu:
Rule-Based Classification. 121-156 - Charu C. Aggarwal:
Instance-Based Learning: A Survey. 157-186 - Po-Wei Wang, Chih-Jen Lin:
Support Vector Machines. 187-204 - Alain Biem:
Neural Networks: A Review. 205-244 - Charu C. Aggarwal:
A Survey of Stream Classification Algorithms. 245-274 - Hanghang Tong:
Big Data Classification. 275-286 - Charu C. Aggarwal, ChengXiang Zhai:
Text Classification. 287-336 - Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang:
Multimedia Classification. 337-364 - Dimitrios Kotsakos, Dimitrios Gunopulos:
Time Series Data Classification. 365-378 - Mohammad Al Hasan:
Discrete Sequence Clustering. 379-398 - Ben London, Lise Getoor:
Collective Classification of Network Data. 399-416 - Reynold Cheng, Yixiang Fang, Matthias Renz:
Uncertain Data Classification. 417-444 - Charu C. Aggarwal:
Rare Class Learning. 445-468 - Fei Wang:
Distance Metric Learning for Data Classification. 469-482 - Yaliang Li, Jing Gao, Qi Li, Wei Fan:
Ensemble Learning. 483-510 - Kaushik Sinha:
Semi-Supervised Learning. 511-536 - Sinno Jialin Pan:
Transfer Learning. 537-570 - Charu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, Philip S. Yu:
Active Learning: A Survey. 571-606 - Giorgio Maria Di Nunzio:
Visual Classification. 607-632 - Nele Verbiest, Karel Vermeulen, Ankur Teredesai:
Evaluation of Classification Methods. 633-656 - Charu C. Aggarwal:
Educational and Software Resources for Data Classification. 657-666
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