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ORCIDSIGKDD Explorations, Volume 14
Volume 14, Number 1, June 2012
- Shipeng Yu, Bharat Rao:
Introduction to the special section on clinical data mining. 1-3 - Jieping Ye, Jun Liu:
Sparse methods for biomedical data. 4-15 - Jimeng Sun, Fei Wang, Jianying Hu, Shahram Ebadollahi:
Supervised patient similarity measure of heterogeneous patient records. 16-24 - Xiang Sean Zhou, Yiqiang Zhan, Vikas C. Raykar, Gerardo Hermosillo Valadez, Luca Bogoni, Zhigang Peng:
Mining anatomical, physiological and pathological information from medical images. 25-34 - Mei Liu, Michael E. Matheny
, Yong Hu, Hua Xu:
Data mining methodologies for pharmacovigilance. 35-42
- Guozhu Dong:
Cross domain similarity mining: research issues and potential applications including supporting research by analogy. 43-47
- Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial:
Next challenges for adaptive learning systems. 48-55
Volume 14, Number 2, December 2012
- Wei Fan, Albert Bifet:
Mining big data: current status, and forecast to the future. 1-5 - Jimmy Lin, Dmitriy V. Ryaboy:
Scaling big data mining infrastructure: the twitter experience. 6-19 - Yizhou Sun, Jiawei Han:
Mining heterogeneous information networks: a structural analysis approach. 20-28 - U Kang, Christos Faloutsos:
Big graph mining: algorithms and discoveries. 29-36 - Xavier Amatriain:
Mining large streams of user data for personalized recommendations. 37-48
- Charu C. Aggarwal:
Outlier ensembles: position paper. 49-58
- Graham Cormode, S. Muthukrishnan, Jinyun Yan:
Studying the source code of scientific research. 59-62 - Richi Nayak, Pierre Senellart, Fabian M. Suchanek, Aparna S. Varde:
Discovering interesting information with advances in web technology. 63-81
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