ICDM 2009 Proceedings

The ICDM 2009 Proceedings were the conference proceedings produced by ICDM 2009.

• AKA: Proceedings of the Ninth IEEE International Conference on Data Mining.
• Context:
  • It is associated with ICDM 2009 Annotated Abstracts (and ICDM 2009 Abstracts Analysis).
  • It can be associated with an ICDM 2009 Citations Analysis Report.
  • It can be associated with an ICDM 2009 References Analysis Report.
  • …
• Counter-Example(s):
  • ICDM 2010 Proceedings.
  • ICDM 2008 Proceedings.
  • KDD-2009 Proceedings.
• See: Corpus.

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References

• Proceedings Webpage http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5360037
• DBLP Page: http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2009.html

2009

Regular Papers

• (Agarwal et al., 2009a) ⇒ Deepak Agarwal, Bee-Chung Chen, and Pradheep Elango. (2009). “Explore/Exploit Schemes for Web Content Optimization.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.52
• (Agarwal et al., 2009b) ⇒ Nitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, and Philip S. Yu. (2009). “Connecting Sparsely Distributed Similar Bloggers.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.38
• (Aho et al., 2009) ⇒ Timo Aho, Bernard Zenko, and Saso Dzeroski. (2009). “Rule Ensembles for Multi-target Regression.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.16
• (Bhaduri & Srivastava, 2009) ⇒ Kanishka Bhaduri, and Ashok N. Srivastava. (2009). “A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.45
• (Bhattacharya et al., 2009) ⇒ Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, and Ashish Verma. (2009). “Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.33
• (Briggs et al., 2009) ⇒ Forrest Briggs, Raviv Raich, and Xiaoli Z. Fern. (2009). “Audio Classification of Bird Species: A Statistical Manifold Approach.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.65
• (Campagna & Pagh, 2009) ⇒ Andrea Campagna, and Rasmus Pagh. (2009). “Finding Associations and Computing Similarity via Biased Pair Sampling.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.35
• (Chen et al., 2009a) ⇒ Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, and Changshui Zhang. (2009). “Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.36
• (Cheng et al., 2009) ⇒ Wei Cheng, Xiaoming Jin, and Jian-Tao Sun. (2009). “Probabilistic Similarity Query on Dimension Incomplete Data.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.72
• (Cho et al., 2009) ⇒ Young-Rae Cho, Lei Shi, and Aidong Zhang. (2009). “flowNet: Flow-based Approach for Efficient Analysis of Complex Biological Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.39
• (Das et al., 2009a) ⇒ Santanu Das, Kanishka Bhaduri, Nikunj C. Oza, and Ashok N. Srivastava. (2009). “?-Anomica: A Fast Support Vector Based Novelty Detection Technique.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.42
• (Dey et al., 2009) ⇒ Sandipan Dey, Vandana Pursnani Janeja, and Aryya Gangopadhyay. (2009). “Temporal Neighborhood Discovery Using Markov Models.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.26
• (Du & Ling, 2009) ⇒ Jun Du, and Charles X. Ling. (2009). “Active Learning with Generalized Queries.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.71
• (Dubey et al., 2009) ⇒ Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, and Soumen Chakrabarti. (2009). “Conditional Models for Non-smooth Ranking Loss Functions.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.49
• (Foss et al., 2009) ⇒ Andrew Foss, Osmar R. Zaïane, and Sandra Zilles. (2009). “Unsupervised Class Separation of Multivariate Data through Cumulative Variance-based Ranking.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.17
• (Fu et al., 2009) ⇒ Qiang Fu, Jian-Guang Lou, Yi Wang, and Jiang Li. (2009). “Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.60
• (Gu & Zhou, 2009) ⇒ Quanquan Gu, and Jie Zhou. (2009). “Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.32
• (Hay et al., 2009) ⇒ Michael Hay, Chao Li, Gerome Miklau, and David Jensen. (2009). “Accurate Estimation of the Degree Distribution of Private Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.11
• (Hido & Kashima, 2009) ⇒ Shohei Hido, and Hisashi Kashima. (2009). “A Linear-Time Graph Kernel.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.30
• (Huang et al., 2009) ⇒ Kaizhu Huang, Yiming Ying, and Colin Campbell. (2009). “GSML: A Unified Framework for Sparse Metric Learning.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.22
• (Jiang et al., 2009) ⇒ Lili Jiang, Jianyong Wang, Ning An, Shengyuan Wang, Jian Zhan, and Lian Li. (2009). “GRAPE: A Graph-based Framework for Disambiguating People Appearances in Web Search.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.25
• (Jin et al., 2009) ⇒ Ruoming Jin, Yuri Breitbart, and Rong Li. (2009). “A Tree-based Framework for Difference Summarization.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.68
• (Kamishima et al., 2009) ⇒ Toshihiro Kamishima, Masahiro Hamasaki, and Shotaro Akaho. (2009). “TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.9
• (Kang et al., 2009) ⇒ U. Kang, Charalampos E. Tsourakakis, and Christos Faloutsos. (2009). “PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.14
• (Ke et al., 2009) ⇒ Yiping Ke, James Cheng, and Jeffrey Xu Yu. (2009). “Efficient Discovery of Frequent Correlated Subgraph Pairs.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.54
• (Koknar-Tezel & Latecki, 2009) ⇒ Suzan Koknar-Tezel, and Longin Jan Latecki. (2009). “Improving SVM Classification on Imbalanced Data Sets in Distance Spaces.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.59
• (Kranen et al., 2009) ⇒ Philipp Kranen, Ira Assent, Corinna Baldauf, and Thomas Seidl. (2009). “Self-Adaptive Anytime Stream Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.47
• (Li et al., 2009a) ⇒ Liyun Li, Umut Topkara, Baris Coskun, and Nasir D. Memon. (2009). “CoCoST: A Computational Cost Efficient Classifier.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.46
• (Li et al., 2009b) ⇒ Nan Li, Yang Yu, and Zhi-Hua Zhou. (2009). “Semi-naive Exploitation of One-Dependence Estimators.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.64
• (Liu et al., 2009a) ⇒ Li-Ping Liu, Yuan Jiang, and Zhi-Hua Zhou. (2009). “Least Square Incremental Linear Discriminant Analysis.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.78
• (Liu et al., 2009b) ⇒ Xiaobai Liu, Shuicheng Yan, Jun Yan, and Hai Jin. (2009). “Unified Solution to Nonnegative Data Factorization Problems.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.18
• (Liu & Terzi, 2009) ⇒ Kun Liu, and Evimaria Terzi. (2009). “A Framework for Computing the Privacy Scores of Users in Online Social Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.21
• (Lu et al., 2009a) ⇒ Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, and Yuan Hong. (2009). “Extended Boolean Matrix Decomposition.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.61
• (Lu et al., 2009b) ⇒ Zhenyu Lu, Xindong Wu, and Josh Bongard. (2009). “Active Learning with Adaptive Heterogeneous Ensembles.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.63
• (Luo et al., 2009) ⇒ Dijun Luo, Chris H. Q. Ding, Heng Huang, and Tao Li. (2009). “Non-negative Laplacian Embedding.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.74
• (Matsubara et al., 2009) ⇒ Yasuko Matsubara, Yasushi Sakurai, and Masatoshi Yoshikawa. (2009). “Scalable Algorithms for Distribution Search.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.51
• (Min et al., 2009) ⇒ Martin Renqiang Min, David A. Stanley, Zineng Yuan, Anthony J. Bonner, and Zhaolei Zhang. (2009). “A Deep Non-linear Feature Mapping for Large-Margin kNN Classification.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.27
• (Mueen et al., 2009) ⇒ Abdullah Mueen, Eamonn J. Keogh, and Nima Bigdely Shamlo. (2009). “Finding Time Series Motifs in Disk-Resident Data.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.15
• (Muller et al., 2009) ⇒ Emmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, and Thomas Seidl. (2009). “Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.10
• (Neumann et al., 2009) ⇒ Marion Neumann, Kristian Kersting, Zhao Xu, and Daniel Schulz. (2009). “Stacked Gaussian Process Learning.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.56
• (Neville et al., 2009) ⇒ Jennifer Neville, Brian Gallagher, and Tina Eliassi-Rad. (2009). “Evaluating Statistical Tests for Within-Network Classifiers of Relational Data.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.50
• (Patnaik et al., 2009) ⇒ Debprakash Patnaik, Srivatsan Laxman, and Naren Ramakrishnan. (2009). “Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.73
• (Pelekis et al., 2009) ⇒ Nikos Pelekis, Ioannis Kopanakis, Evangelos E. Kotsifakos, Elias Frentzos, and Yannis Theodoridis. (2009). “Clustering Trajectories of Moving Objects in an Uncertain World.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.57
• (Qi et al., 2009) ⇒ Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, and Jason Weston. (2009). “Semi-Supervised Sequence Labeling with Self-Learned Features.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.40
• (Robards & Sunehag, 2009) ⇒ Matthew W. Robards, and Peter Sunehag. (2009). “Semi-Markov kMeans Clustering and Activity Recognition from Body-Worn Sensors.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.13
• (Ruan et al., 2009) ⇒ Ning Ruan, Ruoming Jin, Victor E. Lee, and Kun Huang. (2009). “A Sparsification Approach for Temporal Graphical Model Decomposition.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.67
• (Sandler et al., 2009) ⇒ Ted Sandler, Lyle H. Ungar, and Koby Crammer. (2009). “Resolving Identity Uncertainty with Learned Random Walks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.69
• (Shan et al., 2009) ⇒ Hanhuai Shan, Arindam Banerjee, and Nikunj C. Oza. (2009). “Discriminative Mixed-Membership Models.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.58
• (Shchekotykhin & Friedrich, 2009) ⇒ Kostyantyn M. Shchekotykhin, and Gerhard Friedrich. (2009). “Argumentation Based Constraint Acquisition.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.62
• (Shi et al., 2009) ⇒ Yuan Shi, Zhen-zhong Lan, Wei Liu, and Wei Bi. (2009). “Extending Semi-supervised Learning Methods for Inductive Transfer Learning.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.75
• (Sun et al., 2009) ⇒ Yizhou Sun, Jiawei Han, Jing Gao, and Yintao Yu. (2009). “iTopicModel: Information Network-Integrated Topic Modeling.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.43
• (Tang et al., 2009a) ⇒ Lei Tang, Xufei Wang, and Huan Liu. (2009). “Uncoverning Groups via Heterogeneous Interaction Analysis.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.20
• (Tatti, 2009) ⇒ Nikolaj Tatti. (2009). “Significance of Episodes Based on Minimal Windows.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.23
• (Thurau et al., 2009) ⇒ Christian Thurau, Kristian Kersting, and Christian Bauckhage. (2009). “Convex Non-negative Matrix Factorization in the Wild.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.55
• (Turaga et al., 2009) ⇒ Deepak S. Turaga, Michail Vlachos, and Olivier Verscheure. (2009). “On K-Means Cluster Preservation Using Quantization Schemes.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.12
• (Vainer et al., 2009) ⇒ Igor Vainer, Sarit Kraus, Gal A. Kaminka, and Hamutal Slovin. (2009). “Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.24
• (Wang & Agrawal, 2009) ⇒ Fan Wang, and Gagan Agrawal. (2009). “Extracting Output Metadata from Scientific Deep Web Data Sources.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.41
• (Wang et al., 2009a) ⇒ Fei Wang, Xin Wang, and Tao Li. (2009). “Semi-supervised Multi-task Learning with Task Regularizations.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.66
• (Wang & Vucetic, 2009) ⇒ Zhuang Wang, and Slobodan Vucetic. (2009). “Fast Online Training of Ramp Loss Support Vector Machines.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.53
• (Xiong & Zhu, 2009) ⇒ Yun Xiong, and Yangyong Zhu. (2009). “Mining Peculiarity Groups in Day-by-Day Behavioral Datasets.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.48
• (Xu et al., 2009) ⇒ Wei Xu, Ling Huang, Armando Fox, David Patterson, and Michael I. Jordan. (2009). “Online System Problem Detection by Mining Patterns of Console Logs.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.19
• (Yan et al., 2009a) ⇒ Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, and Zheng Chen. (2009). “Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.34
• (Yang et al., 2009) ⇒ Jian Yang, Ning Zhong, Yiyu Yao, and Jue Wang. (2009). “Peculiarity Analysis for Classifications.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.31
• (Yu et al., 2009) ⇒ Xiao Yu, Lu An Tang, and Jiawei Han. (2009). “Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.44
• (Zhang et al., 2009a) ⇒ Peng Zhang, Xingquan Zhu, and Li Guo. (2009). “Mining Data Streams with Labeled and Unlabeled Training Examples.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.76
• (Zhao et al., 2009a) ⇒ Bin Zhao, James Tin-Yau Kwok, and Changshui Zhang. (2009). “Maximum Margin Clustering with Multivariate Loss Function.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.37
• (Zhou & Xiong, 2009) ⇒ Wenjun Zhou, and Hui Xiong. (2009). “Efficient Discovery of Confounders in Large Data Sets.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.77
• (Zhu et al., 2009a) ⇒ Xingquan Zhu, Xindong Wu, and Chengqi Zhang. (2009). “Vague One-Class Learning for Data Streams.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.70

Short Papers

• (Zhu et al., 2009b) ⇒ Zeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, and Zheng Chen. (2009). “Inverse Time Dependency in Convex Regularized Learning.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.28
• (Zhu et al., 2009c) ⇒ Zeyuan Allen Zhu, Weizhu Chen, Gang Wang, Chenguang Zhu, and Zheng Chen. (2009). “P-packSVM: Parallel Primal grAdient desCent Kernel SVM.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.29
• (Anand et al., 2009) ⇒ Anushka Anand, Leland Wilkinson, and Dang Nhon Tuan. (2009). “An L-infinity Norm Visual Classifier.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.119
• (Angiulli & Fassetti, 2009) ⇒ Fabrizio Angiulli, and Fabio Fassetti. (2009). “Outlier Detection Using Inductive Logic Programming.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.127
• (Bao et al., 2009) ⇒ Shenghua Bao, Shengliang Xu, Li Zhang, Rong Yan, Zhong Su, Dingyi Han, and Yong Yu. (2009). “Joint Emotion-Topic Modeling for Social Affective Text Mining.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.94
• (Bayati et al., 2009) ⇒ Mohsen Bayati, Margot Gerritsen, David Gleich, Amin Saberi, and Ying Wang. (2009). “Algorithms for Large, Sparse Network Alignment Problems.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.135
• (Bian & Tao, 2009) ⇒ Wei Bian, and Dacheng Tao. (2009). “Dirichlet Mixture Allocation for Multiclass Document Collections Modeling.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.102
• (Boyen et al., 2009) ⇒ Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan van Dijk, and Roeland C. H. J. van Ham. (2009). “SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.92
• (Budhaditya et al., 2009) ⇒ Budhaditya Saha, Duc-Son Pham, Mihai Lazarescu, and Svetha Venkatesh. (2009). “Effective Anomaly Detection in Sensor Networks Data Streams.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.110
• (Bundschus et al., 2009) ⇒ Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, and Hans-Peter Kriegel. (2009). “Hierarchical Bayesian Models for Collaborative Tagging Systems.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.121
• (Cai et al., 2009) ⇒ Yuanzhe Cai, Gao Cong, Xu Jia, Hongyan Liu, Jun He, Jiaheng Lu, and Xiaoyong Du. (2009). “Efficient Algorithm for Computing Link-based Similarity in Real World Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.136
• (Chaytor et al., 2009) ⇒ Rhonda Chaytor, Ke Wang, and Patricia Brantingham. (2009). “Fine-Grain Perturbation for Privacy Preserving Data Publishing.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.98
• (Chen et al., 2009b) ⇒ Xi Chen, Weike Pan, James T. Kwok, and Jaime Carbonell. (2009). “Accelerated Gradient Method for Multi-task Sparse Learning Problem.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.128
• (Cleuziou et al., 2009) ⇒ Guillaume Cleuziou, Matthieu Exbrayat, Lionel Martin, and Jacques-Henri Sublemontier. (2009). “CoFKM: A Centralized Method for Multiple-View Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.138
• (Das et al., 2009b) ⇒ Debasish Das, Zoran Obradovic, and Slobodan Vucetic. (2009). “Active Selection of Sensor Sites in Remote Sensing Applications.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.139
• (De Saeger et al., 2009) ⇒ Stijn De Saeger, Kentaro Torisawa, Jun'ichi Kazama, Kow Kuroda, and Masaki Murata. (2009). “Large Scale Relation Acquisition Using Class Dependent Patterns.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.140
• (Duan & Street, 2009) ⇒ Lian Duan, and William Nick Street. (2009). “Finding Maximal Fully-Correlated Itemsets in Large Databases.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.89
• (Fu & Banerjee, 2009) ⇒ Qiang Fu, and Arindam Banerjee. (2009). “Bayesian Overlapping Subspace Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.132
• (Gonzalez & Turmo, 2009) ⇒ Edgar González, and Jordi Turmo. (2009). “Unsupervised Relation Extraction by Massive Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.81
• (Grbovic & Vucetic, 2009) ⇒ Mihajlo Grbovic, and Slobodan Vucetic. (2009). “Regression Learning Vector Quantization.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.145
• (Gullo et al., 2009) ⇒ Francesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli. (2009). “Projective Clustering Ensembles.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.131
• (Guo et al., 2009) ⇒ Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, and Yihong Gong. (2009). “Knowledge Discovery from Citation Networks.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.137
• (Guzzo et al., 2009) ⇒ Antonella Guzzo, Domenico Saccà, and Edoardo Serra. (2009). “An Effective Approach to Inverse Frequent Set Mining.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.123
• (Hauguel et al., 2009) ⇒ Samson Hauguel, ChengXiang Zhai, and Jiawei Han. (2009). “Parallel PathFinder Algorithms for Mining Structures from Graphs.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.142
• (Hendrikse et al., 2009) ⇒ Anne Hendrikse, Luuk J. Spreeuwers, and Raymond N. J. Veldhuis. (2009). “A Bootstrap Approach to Eigenvalue Correction.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.111
• (Jiang, 2009) ⇒ Jing Jiang. (2009). “Modeling Syntactic Structures of Topics with a Nested HMM-LDA.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.144
• (Joshi et al., 2009) ⇒ Deepti Joshi, Leen-Kiat Soh, and Ashok Samal. (2009). “Redistricting Using Heuristic-based Polygonal Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.126
• (Kujala et al., 2009) ⇒ Jussi Kujala, Timo Aho, and Tapio Elomaa. (2009). “A Walk from 2-Norm SVM to 1-Norm SVM.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.100
• (Lelis & Sander, 2009) ⇒ Levi Lelis, and Jörg Sander. (2009). “Semi-supervised Density-based Clustering.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.143
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