Abstract is missing.
- An Introduction to Data ClassificationCharu C. Aggarwal. 1-36 [doi]
- Feature Selection for Classification: A ReviewJiliang Tang, Salem Alelyani, Huan Liu. 37-64 [doi]
- Probabilistic Models for ClassificationHongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han. 65-86 [doi]
- Decision Trees: Theory and AlgorithmsVictor E. Lee, Lin Liu 0001, Ruoming Jin. 87-120 [doi]
- Rule-Based ClassificationXiao-Li Li, Bing Liu. 121-156 [doi]
- Instance-Based Learning: A SurveyCharu C. Aggarwal. 157-186 [doi]
- Support Vector MachinesPo-Wei Wang, Chih-Jen Lin. 187-204 [doi]
- Neural Networks: A ReviewAlain Biem. 205-244 [doi]
- A Survey of Stream Classification AlgorithmsCharu C. Aggarwal. 245-274 [doi]
- Big Data ClassificationHanghang Tong. 275-286 [doi]
- Text ClassificationCharu C. Aggarwal, ChengXiang Zhai. 287-336 [doi]
- Multimedia ClassificationShiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang. 337-364 [doi]
- Time Series Data ClassificationDimitrios Kotsakos, Dimitrios Gunopulos. 365-378 [doi]
- Discrete Sequence ClusteringMohammad Al Hasan. 379-398 [doi]
- Collective Classification of Network DataBen London, Lise Getoor. 399-416 [doi]
- Uncertain Data ClassificationReynold Cheng, Yixiang Fang, Matthias Renz. 417-444 [doi]
- Rare Class LearningCharu C. Aggarwal. 445-468 [doi]
- Distance Metric Learning for Data ClassificationFei Wang. 469-482 [doi]
- Ensemble LearningYaliang Li, Jing Gao, Qi Li, Wei Fan. 483-510 [doi]
- Semi-Supervised LearningKaushik Sinha. 511-536 [doi]
- Transfer LearningSinno Jialin Pan. 537-570 [doi]
- Active Learning: A SurveyCharu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, Philip S. Yu. 571-606 [doi]
- Visual ClassificationGiorgio Maria Di Nunzio. 607-632 [doi]
- Evaluation of Classification MethodsNele Verbiest, Karel Vermeulen, Ankur Teredesai. 633-656 [doi]
- Educational and Software Resources for Data ClassificationCharu C. Aggarwal. 657-666 [doi]