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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 4
Volume 4, Number 1, January 2010
- Yehuda Koren:
Factor in the neighbors: Scalable and accurate collaborative filtering. 1:1-1:24 - Zeeshan Syed, Collin M. Stultz, Manolis Kellis, Piotr Indyk, John V. Guttag:
Motif discovery in physiological datasets: A methodology for inferring predictive elements. 2:1-2:23 - Geoffrey I. Webb
:
Self-sufficient itemsets: An approach to screening potentially interesting associations between items. 3:1-3:20 - Marc Plantevit, Anne Laurent, Dominique Laurent, Maguelonne Teisseire, Yeow Wei Choong:
Mining multidimensional and multilevel sequential patterns. 4:1-4:37 - Mohammed J. Zaki, Christopher D. Carothers, Boleslaw K. Szymanski:
VOGUE: A variable order hidden Markov model with duration based on frequent sequence mining. 5:1-5:31
Volume 4, Number 2, May 2010
- Sunil Vadera:
CSNL: A cost-sensitive non-linear decision tree algorithm. 6:1-6:25 - Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar:
Analyzing knowledge communities using foreground and background clusters. 7:1-7:35 - Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye:
A shared-subspace learning framework for multi-label classification. 8:1-8:29 - Salvatore Ruggieri, Dino Pedreschi, Franco Turini:
Data mining for discrimination discovery. 9:1-9:40
Volume 4, Number 3, October 2010
- Lini T. Thomas, Satyanarayana R. Valluri, Kamalakar Karlapalem:
MARGIN: Maximal frequent subgraph mining. 10:1-10:42 - Meghana Deodhar, Joydeep Ghosh:
SCOAL: A framework for simultaneous co-clustering and learning from complex data. 11:1-11:31 - Jinlin Chen, Keli Xiao:
BISC: A bitmap itemset support counting approach for efficient frequent itemset mining. 12:1-12:37 - Luca Becchetti, Paolo Boldi, Carlos Castillo, Aristides Gionis:
Efficient algorithms for large-scale local triangle counting. 13:1-13:28 - Yin Zhang, Zhi-Hua Zhou:
Multilabel dimensionality reduction via dependence maximization. 14:1-14:21 - Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy:
Learning multiple nonredundant clusterings. 15:1-15:32
Volume 4, Number 4, October 2010
- Wei Wang:
TKDD Special Issue SIGKDD 2009. 16:1 - Ye Chen, Dmitry Pavlov, John F. Canny:
Behavioral Targeting: The Art of Scaling Up Simple Algorithms. 17:1-17:31 - Noman Mohammed, Benjamin C. M. Fung, Patrick C. K. Hung, Cheuk-kwong Lee:
Centralized and Distributed Anonymization for High-Dimensional Healthcare Data. 18:1-18:33 - Chao Liu, Fan Guo, Christos Faloutsos:
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data. 19:1-19:26 - Mingxi Wu, Chris Jermaine, Sanjay Ranka, Xiuyao Song, John Gums:
A Model-Agnostic Framework for Fast Spatial Anomaly Detection. 20:1-20:30
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