June 2013, Volume 15, Issue 1
- Comprehensible Classification Models – a position paper [1]
- Ensembles for Unsupervised Outlier Detection: Challenges and Research Questions [11]
- On the Management and Analysis of Our LifeSteps [23]
- Research Issues in Outlier Detection for Data Streams [33]
- 20 Years of Pattern Mining: a Bibliometric Survey [41]
December 2012, Volume 14, Issue 2
- Big Data Everywhere, and No SQL in Sight [1]
- Mining Big Data: Current Status, and Forecast to the Future [1]
- Scaling Big Data Mining Infrastructure: The Twitter Experience [6]
- Mining Heterogeneous Information Networks: A Structural Analysis Approach [20]
- Big Graph Mining: Algorithms and Discoveries [29]
- Mining Large Streams of User Data for Personalized Recommendations [37]
- Outlier Ensembles [49]
- Studying the source code of scientific research [59]
- Discovering Interesting Information with Advances in Web Technology [63]
June 2012, Volume 14, Issue 1
- Introduction to the Special Section on Clinical Data Mining [1]
- Sparse Methods for Biomedical Data [4]
- Supervised Patient Similarity Measure of Heterogeneous Patient Records [16]
- Mining Anatomical, Physiological and Pathological Information from Medical Images [25]
- Data Mining Methodologies for Pharmacovigilance [35]
- Cross Domain Similarity Mining: Research Issues and Potential Applications Including Supporting Research by Analogy [43]
- Next challenges for adaptive learning systems [48]
December 2011, Volume 13, Issue 2
- Editorial [1]
- Introduction to The Special Section on Educational Data Mining [3]
- Data Mining for Improving Textbooks [7]
- Social Network Analysis and Mining to Support the Assessment of On-line Student Participation [20]
- Mapping Question Items to Skills with Non-negative Matrix Factorization [30]
- The Sum is Greater than the Parts: Ensembling Models of Student Knowledge in Educational Software [37]
- Process Mining: Making Knowledge Discovery Process Centric [45]
- Survey on Web Spam Detection: Principles and Algorithms [50]
- A Study on the Importance of and Time Spent on Different Modeling Steps [65]
- A Conversation with the Chinese KDD Leaders [72]
- A Conversation with Dr. Edward Y. Chang [73]
- A Conversation with Professors Deyi Li and Jie Tang [75]
- A Conversation with Professor Jianzhong Li [77]
- A Conversation with Professor Ruqian Lu et al. [79]
- A Conversation with MSRA Researchers [82]
- A Conversation with Professor Bole Shi [85]
- A Conversation with Dr. Yong Shi [87]
- A Conversation with Professor Zhongzhi Shi [89]
- A Conversation with Dr. Haifeng Wang [91]
- A Conversation with Professor Shan Wang et al. [92]
- A Conversation with Professor Bo Zhang [97]
- A Conversation with Professor Li-Zhu Zhou [100]
- A Conversation with Professor Zhi-Hua Zhou [101]
- An Introduction to SIGKDD and A Reflection on the Term ‘Data Mining’ [103]
- The Eleventh Workshop on Multimedia Data Mining []
- Learning from Medical Data Streams - AIME 2011 Workshop Report []
July 2011, Volume 13, Issue 1
Special Issue: Privacy in Mobility Data Mining
- Editorial [1]
- KDD 2011 Industry Practice Expo [3]
- Privacy in Mobility Data Mining [4]
- Privacy Preservation in the Dissemination of Location Data [6]
- Trajectory Privacy in Location-based Services and Data Publication [19]
- Trajectory Anonymity in Publishing Personal Mobility Data [30]
- A Privacy Aware Framework for Participatory Sensing [43]
- A Report on The Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011) [52]
- Heterogeneous Network-Based Trust Analysis: A Survey [54]
- Quality-Driven Resource-Adaptive Data Stream Mining [72]
