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ORCIDStatistical Analysis and Data Mining, Volume 2
Volume 2, Number 1, July 2009
- Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi
:
Mining abnormal patterns from heterogeneous time-series with irrelevant features for fault event detection. 1-17 - Yitao Duan, John F. Canny:
How to deal with malicious users in privacy-preserving distributed data mining. 18-33 - Yijun Sun, Dapeng Wu:
Feature extraction through local learning. 34-47 - Souptik Datta, Hillol Kargupta:
A communication efficient probabilistic algorithm for mining frequent itemsets from a peer-to-peer network. 48-69 - Shunsuke Hirose, Kenji Yamanishi:
Latent variable mining with its applications to anomalous behavior detection. 70-86
Volume 2, Number 2, August 2009
- Paul Blower:
Chemogenomic databases: Construction, search and analysis. 87
- Yushi Liu, Joseph S. Verducci:
Review of statistical analyses in drug discovery and chemogenomics. 88-102
- Eleanor J. Gardiner, Valerie J. Gillet, Maciej Haranczyk, Jérôme Hert, John D. Holliday, Nurul Malim, Yogendra Patel, Peter Willett:
Turbo similarity searching: Effect of fingerprint and dataset on virtual-screening performance. 103-114 - Josef Scheiber, Jeremy L. Jenkins, Andreas Bender, Mariusz Milik, Dmitri Mikhailov, Sai Chetan K. Sukuru, Ben Cornett, Steven Whitebread, Laszlo Urban, John W. Davies, Meir Glick:
SPREAD - exploiting chemical features that cause differential activity behavior. 115-122 - Martin Vogt, Britta Nisius, Jürgen Bajorath:
Predicting the similarity search performance of fingerprints and their combination with molecular property descriptors using probabilistic and information theoretic modeling. 123-134 - Sugnet Gardner-Lubbe, Niël J. le Roux, H. Maunders, V. Shah, S. Patwardhan:
Biplot methodology in exploratory analysis of microarray data. 135-145
Volume 2, Number 3, September 2009
- Joseph S. Verducci:
Chemogenomic insights into biological systems. 147-148
- Munikumar R. Doddareddy, Gerard J. P. van Westen, Eelke van der Horst, Julio E. Peironcely, Frans Corthals, Adriaan P. IJzerman, Michael Emmerich, Jeremy L. Jenkins, Andreas Bender:
Chemogenomics: Looking at biology through the lens of chemistry. 149-160 - Junshui Ma, Christopher Tong, Andy Liaw, Robert P. Sheridan, John Szumiloski, Vladimir Svetnik:
Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem. 161-174 - Kerby Shedden, Yang Yang, Gustavo R. Rosania:
Gene expression associations with the growth inhibitory effects of small molecules on live cells: Specificity of effects and uniformity of mechanisms. 175-185 - Xin Gao, Lina Lin, Ying Huang:
Application of model selection technique in chemogenomic data analysis. 186-191 - Yushi Liu, Joseph S. Verducci, Irvin R. Schultz, Sharon Hook, James J. Nagler, Gheorghe Craciun, Kaitlin Sundling, William L. Hayton:
Time course analysis of microarray data for the pathway of reproductive development in female rainbow trout. 192-208
Volume 2, Number 4, November 2009
- Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization methods for assessing data analysis results on real-valued matrices. 209-230 - Krishna Kummamuru, Deepak Padmanabhan, Shourya Roy, L. Venkata Subramaniam:
Unsupervised segmentation of conversational transcripts. 231-245 - Kay I. Penny, Thomas Chesney:
Mining trauma injury data with imputed values. 246-254 - Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu:
Mining maximal quasi-bicliques: Novel algorithm and applications in the stock market and protein networks. 255-273 - Jennifer Clarke, Bertrand S. Clarke:
Prequential analysis of complex data with adaptive model reselection. 274-290
Volume 2, Numbers 5-6, December 2009
- Zoran Obradovic, Huan Liu:
Special issue on the best papers of SDM'09. 291-293
- Graham Cormode, Srikanta Tirthapura, Bojian Xu:
Time-decayed correlated aggregates over data streams. 294-310 - Anton Dries, Ulrich Rückert:
Adaptive concept drift detection. 311-327 - Jianqiang Shen, Thomas G. Dietterich:
A family of large margin linear classifiers and its application in dynamic environments. 328-345 - Mario Boley, Tamás Horváth, Stefan Wrobel:
Efficient discovery of interesting patterns based on strong closedness. 346-360 - Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos André Gonçalves:
Competence-conscious associative classification. 361-377 - Duo Zhang, ChengXiang Zhai, Jiawei Han, Ashok N. Srivastava, Nikunj C. Oza:
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications. 378-395 - Dan Preston, Pavlos Protopapas, Carla E. Brodley:
Discovering arbitrary event types in time series. 396-411
- Shohei Hido, Hisashi Kashima, Yutaka Takahashi:
Roughly balanced bagging for imbalanced data. 412-426 - Guimei Liu, Kelvin Sim, Jinyan Li, Limsoon Wong:
Efficient mining of distance-based subspace clusters. 427-444
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