Abstract is missing.
- On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and TrackingLoulwah AlSumait, Daniel Barbará, Carlotta Domeniconi. 3-12 [doi]
- Unsupervised Cross-Domain Learning by Interaction Information Co-clusteringShin Ando, Einoshin Suzuki. 13-22 [doi]
- Paired Learners for Concept DriftStephen H. Bach, Marcus A. Maloof. 23-32 [doi]
- Predicting Future Decision Trees from Evolving DataMirko Böttcher, Martin Spott, Rudolf Kruse. 33-42 [doi]
- A Randomized Approach for Approximating the Number of Frequent SetsMario Boley, Henrik Grosskreutz. 43-52 [doi]
- A Non-parametric Semi-supervised Discretization MethodAlexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval. 53-62 [doi]
- Non-negative Matrix Factorization on ManifoldDeng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han. 63-72 [doi]
- Anti-monotonic Overlap-Graph Support MeasuresToon Calders, Jan Ramon, Dries Van Dyck. 73-82 [doi]
- SeqStream: Mining Closed Sequential Patterns over Stream Sliding WindowsLei Chang, Tengjiao Wang, Dongqing Yang, Hua Luan. 83-92 [doi]
- SPARCL: Efficient and Effective Shape-Based ClusteringVineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki. 93-102 [doi]
- Graph OLAP: Towards Online Analytical Processing on GraphsChen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu. 103-112 [doi]
- Exploiting Local and Global Invariants for the Management of Large Scale Information SystemsHaifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira. 113-122 [doi]
- DECK: Detecting Events from Web Click-Through DataLing Chen 0002, Yiqun Hu, Wolfgang Nejdl. 123-132 [doi]
- Mining Order-Preserving Submatrices from Data with Repeated MeasurementsChun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee. 133-142 [doi]
- Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced DataDavid A. Cieslak, Nitesh V. Chawla. 143-152 [doi]
- Generalized Framework for Syntax-Based Relation MiningBonaventura Coppola, Alessandro Moschitti, Daniele Pighin. 153-162 [doi]
- Formal Models for Expert Finding on DBLP Bibliography DataHongbo Deng, Irwin King, Michael R. Lyu. 163-172 [doi]
- ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing MapsDenny, Graham J. Williams, Peter Christen. 173-182 [doi]
- Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique FindingChris H. Q. Ding, Tao Li, Michael I. Jordan. 183-192 [doi]
- Space Efficient String Mining under Frequency ConstraintsJohannes Fischer, Veli Mäkinen, Niko Välimäki. 193-202 [doi]
- Efficient Discovery of Statistically Significant Association RulesWilhelmiina Hämäläinen, Matti Nykänen. 203-212 [doi]
- Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia ResearchAndreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Stefan Kramer, Robert Perneczky, Alexander Kurz 0002, Alexander Drzezga. 213-222 [doi]
- Inlier-Based Outlier Detection via Direct Density Ratio EstimationShohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori. 223-232 [doi]
- Supervised Inductive Learning with Lotka-Volterra Derived ModelsKaren Hovsepian, Peter Anselmo, Subhasish Mazumdar. 233-242 [doi]
- A Novel Language-Model-Based Approach for Image Object Mining and Re-rankingJen-Hao Hsiao, Chu-Song Chen, Ming-Syan Chen. 243-252 [doi]
- Maximum Margin Clustering with Pairwise ConstraintsYang Hu, Jingdong Wang, Nenghai Yu, Xian-Sheng Hua. 253-262 [doi]
- Collaborative Filtering for Implicit Feedback DatasetsYifan Hu, Yehuda Koren, Chris Volinsky. 263-272 [doi]
- Semi-supervised Learning from General Unlabeled DataKaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu. 273-282 [doi]
- Metropolis Algorithms for Representative Subgraph SamplingChristian Hübler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani. 283-292 [doi]
- Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome PredictionTaeHyun Hwang, Ze Tian, Rui Kuang, Jean-Pierre Kocher. 293-302 [doi]
- A Fast Method to Mine Frequent Subsequences from Graph Sequence DataAkihiro Inokuchi, Takashi Washio. 303-312 [doi]
- Overlapping Matrix Pattern Visualization: A Hypergraph ApproachRuoming Jin, Yang Xiang, David Fuhry, Feodor F. Dragan. 313-322 [doi]
- A Robust Discriminative Term Weighting Based Linear Discriminant Method for Text ClassificationKhurum Nazir Junejo, Asim Karim. 323-332 [doi]
- Clustering Uncertain Data Using Voronoi DiagramsBen Kao, Sau Dan Lee, David W. Cheung, Wai-Shing Ho, K. F. Chan. 333-342 [doi]
- SCS: A New Similarity Measure for Categorical SequencesAbdellali Kelil, Shengrui Wang. 343-352 [doi]
- Toward Faster Nonnegative Matrix Factorization: A New Algorithm and ComparisonsJingu Kim, Haesun Park. 353-362 [doi]
- Scalable Tensor Decompositions for Multi-aspect Data MiningTamara G. Kolda, Jimeng Sun. 363-372 [doi]
- Mining Periodic Behavior in Dynamic Social NetworksMayank Lahiri, Tanya Y. Berger-Wolf. 373-382 [doi]
- Unsupervised Face Annotation by Mining the WebDuy-Dinh Le, Shin ichi Satoh. 383-392 [doi]
- Border Sampling through Coupling Markov Chain Monte CarloGuichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar. 393-402 [doi]
- Computationally Efficient Estimators for Dimension Reductions UsingStable Random ProjectionsPing Li. 403-412 [doi]
- Isolation ForestFei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou. 413-422 [doi]
- TEFE: A Time-Efficient Approach to Feature ExtractionLi-Ping Liu, Yang Yu, Yuan Jiang, Zhi-Hua Zhou. 423-432 [doi]
- Transductive Component AnalysisWei Liu, Dacheng Tao, Jianzhuang Liu. 433-442 [doi]
- Modeling and Predicting the Helpfulness of Online ReviewsYang Liu, Xiangji Huang, Aijun An, Xiaohui Yu. 443-452 [doi]
- LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time SeriesFrancisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz. 453-461 [doi]
- Enhancing the Stability of Spectral Ordering with Sparsification and Partial Supervision: Application to Paleontological DataDimitrios Mavroeidis, Ella Bingham. 462-471 [doi]
- Scaling up Classifiers to Cloud ComputersChristopher Moretti, Karsten Steinhaeuser, Douglas Thain, Nitesh V. Chawla. 472-481 [doi]
- What Sperner Family Concept Class is Easy to Be Enumerated?Atsuyoshi Nakamura, Mineichi Kudo. 482-491 [doi]
- Learning by PropagabilityBingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loong Fah Cheong. 492-501 [doi]
- One-Class Collaborative FilteringRong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, Qiang Yang. 502-511 [doi]
- DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End MiningSpiros Papadimitriou, Jimeng Sun. 512-521 [doi]
- Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and ParameterCarsten Riggelsen. 522-529 [doi]
- Bayesian Co-clusteringHanhuai Shan, Arindam Banerjee. 530-539 [doi]
- Temporal-Relational Classifiers for Prediction in Evolving DomainsUmang Sharan, Jennifer Neville. 540-549 [doi]
- xCrawl: A High-Recall Crawling Method for Web MiningKostyantyn M. Shchekotykhin, Dietmar Jannach, Gerhard Friedrich. 550-559 [doi]
- Comparison of Cluster Representations from Partial Second- to Full Fourth-Order Cross Moments for Data Stream ClusteringMingzhou (Joe) Song, Lin Zhang. 560-569 [doi]
- Web Mining for Understanding Stories through Graph VisualisationIlija Subasic, Bettina Berendt. 570-579 [doi]
- Balancing Spectral Clustering for Segmenting Spatio-temporal Observations of Multi-agent SystemsBálint Takács, Yiannis Demiris. 580-587 [doi]
- Finding Good Itemsets by Packing DataNikolaj Tatti, Jilles Vreeken. 588-597 [doi]
- Measuring Proximity on Graphs with Side InformationHanghang Tong, Huiming Qu, Hani Jamjoom. 598-607 [doi]
- Fast Counting of Triangles in Large Real Networks without Counting: Algorithms and LawsCharalampos E. Tsourakakis. 608-617 [doi]
- Improving Collaborative Filtering Recommendations Using External DataAkhmed Umyarov, Alexander Tuzhilin. 618-627 [doi]
- A Generative Probabilistic Model for Multi-label ClassificationHongning Wang, Minlie Huang, Xiaoyan Zhu. 628-637 [doi]
- SpecVAT: Enhanced Visual Cluster AnalysisLiang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao. 638-647 [doi]
- Dirichlet Process Based Evolutionary ClusteringTianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long. 648-657 [doi]
- Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov StateTianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long. 658-667 [doi]
- TOFA: Trace Oriented Feature Analysis in Text CategorizationJun Yan, Ning Liu, Qiang Yang, Weiguo Fan, Zheng Chen. 668-677 [doi]
- Clustering Distributed Time Series in Sensor NetworksJie Yin, Mohamed Medhat Gaber. 678-687 [doi]
- M3MIML: A Maximum Margin Method for Multi-instance Multi-label LearningMin-Ling Zhang, Zhi-Hua Zhou. 688-697 [doi]
- RTM: Laws and a Recursive Generator for Weighted Time-Evolving GraphsLeman Akoglu, Mary McGlohon, Christos Faloutsos. 701-706 [doi]
- A Shrinkage Approach for Modeling Non-stationary Relational AutocorrelationPelin Angin, Jennifer Neville. 707-712 [doi]
- Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document SummarizationRachit Arora, Balaraman Ravindran. 713-718 [doi]
- INSCY: Indexing Subspace Clusters with In-Process-Removal of RedundancyIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl. 719-724 [doi]
- A Conservative Feature Subset Selection Algorithm with Missing DataAlex Aussem, Sergio Rodrigues de Morais. 725-730 [doi]
- Nonparametric Monotone Classification with MOCANicola Barile, Ad Feelders. 731-736 [doi]
- Mining Large Networks with Subgraph CountingIlaria Bordino, Debora Donato, Aristides Gionis, Stefano Leonardi. 737-742 [doi]
- Comparative Evaluation of Anomaly Detection Techniques for Sequence DataVarun Chandola, Varun Mithal, Vipin Kumar. 743-748 [doi]
- On Locally Linear Classification by Pairwise CouplingFeng Chen, Chang-Tien Lu, Arnold P. Boedihardjo. 749-754 [doi]
- A Probability Model for Projective Clustering on High Dimensional DataLifei Chen, Qingshan Jiang, Shengrui Wang. 755-760 [doi]
- Estimating Aggregates over Multiple SetsEdith Cohen, Haim Kaplan. 761-766 [doi]
- A Joint Matrix Factorization Approach to Unsupervised Action CategorizationPeng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang. 767-772 [doi]
- Finding Alternative Clusterings Using ConstraintsIan Davidson, Zijie Qi. 773-778 [doi]
- Efficient Feature Selection in the Presence of Multiple Feature ClassesParamveer S. Dhillon, Dean Foster, Lyle H. Ungar. 779-784 [doi]
- Why Stacked Models Perform Effective Collective ClassificationAndrew Fast, David Jensen. 785-790 [doi]
- Multiplicative Mixture Models for Overlapping ClusteringQiang Fu, Arindam Banerjee. 791-796 [doi]
- Anomaly Detection Support Vector Machine and Its Application to Fault DiagnosisRyohei Fujimaki. 797-802 [doi]
- A Recommendation System for Preconditioned Iterative SolversThomas George, Anshul Gupta, Vivek Sarin. 803-808 [doi]
- Cost-Sensitive Parsimonious Linear RegressionRobby Goetschalckx, Kurt Driessens, Scott Sanner. 809-814 [doi]
- Text Mining in Radiology ReportsTianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang. 815-820 [doi]
- A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic ApproachFrancesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco. 821-826 [doi]
- Discovering Significant Patterns in Multi-stream SequencesRobert Gwadera, Fabio Crestani. 827-832 [doi]
- Graph-Based Rare Category DetectionJingrui He, Yan Liu, Richard D. Lawrence. 833-838 [doi]
- Clustering Documents with Active Learning Using WikipediaAnna Huang, David N. Milne, Eibe Frank, Ian H. Witten. 839-844 [doi]
- Direct Zero-Norm Optimization for Feature SelectionKaizhu Huang, Irwin King, Michael R. Lyu. 845-850 [doi]
- Discovering Flow Anomalies: A SWEET ApproachJames M. Kang, Shashi Shekhar, Christine Wennen, Paige J. Novak. 851-856 [doi]
- Boosting Relational Sequence AlignmentsAndreas Karwath, Kristian Kersting, Niels Landwehr. 857-862 [doi]
- Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival AnalysisFaisal M. Khan, Valentina Bayer Zubek. 863-868 [doi]
- Nearest Neighbour Classifiers for Streaming Data with Delayed LabellingLudmila I. Kuncheva, J. Salvador Sánchez. 869-874 [doi]
- WiFIsViz: Effective Visualization of Frequent ItemsetsCarson Kai-Sang Leung, Pourang Irani, Christopher L. Carmichael. 875-880 [doi]
- Fast and Memory Efficient Mining of High Utility Itemsets in Data StreamsHua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun Liu, Suh-Yin Lee. 881-886 [doi]
- HIREL: An Incremental Clustering Algorithm for Relational DatasetsTao Li, Sarabjot S. Anand. 887-892 [doi]
- Time Sensitive Ranking with Application to Publication SearchXin Li, Bing Liu, Philip S. Yu. 893-898 [doi]
- Releasing the SVM Classifier with Privacy-PreservationKeng-Pei Lin, Ming-Syan Chen. 899-904 [doi]
- Text Cube: Computing IR Measures for Multidimensional Text Database AnalysisCindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, Bo Zhao. 905-910 [doi]
- Multi-Space-Mapped SVMs for Multi-class ClassificationBo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang. 911-916 [doi]
- Spotting Significant Changing Subgraphs in Evolving GraphsZheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, Lei Chen 0002. 917-922 [doi]
- Classifying High-Dimensional Text and Web Data Using Very Short PatternsHassan H. Malik, John R. Kender. 923-928 [doi]
- A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled DataMohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham. 929-934 [doi]
- Spatiotemporal Relational Probability Trees: An IntroductionAmy McGovern, Nathan C. Hiers, Matthew W. Collier, David J. Gagne II, Rodger A. Brown. 935-940 [doi]
- Stream Sequential Pattern Mining with Precise Error BoundsLuiz F. Mendes, Bolin Ding, Jiawei Han. 941-946 [doi]
- Organic Pie ChartsFabian Mörchen. 947-952 [doi]
- Frequent Subgraph Retrieval in Geometric Graph DatabasesSebastian Nowozin, Koji Tsuda. 953-958 [doi]
- Alert Detection in System LogsAdam J. Oliner, Alex Aiken, Jon Stearley. 959-964 [doi]
- Variance Minimization Least Squares Support Vector Machines for Time Series AnalysisRóbert Ormándi. 965-970 [doi]
- Quantitative Association Analysis Using Tree HierarchiesFeng Pan, Lynda Yang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang 0010. 971-976 [doi]
- Sparse Maximum Margin Logistic Regression for Credit ScoringSabyasachi Patra, Kripa Shanker, Debasis Kundu. 977-982 [doi]
- Similarity Learning for Nearest Neighbor ClassificationAli Mustafa Qamar, Éric Gaussier, Jean-Pierre Chevallet, Joo-Hwee Lim. 983-988 [doi]
- RBNBC: Repeat Based Naive Bayes Classifier for Biological SequencesPratibha Rani, Vikram Pudi. 989-994 [doi]
- Multi-label Classification Using Ensembles of Pruned SetsJesse Read, Bernhard Pfahringer, Geoffrey Holmes. 995-1000 [doi]
- Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint InferenceSteffen Rendle, Lars Schmidt-Thieme. 1001-1006 [doi]
- Iterative Subgraph Mining for Principal Component AnalysisHiroto Saigo, Koji Tsuda. 1007-1012 [doi]
- Clustering Geospatial Objects via Hidden Markov Random FieldsMakoto Sato, Shuichiro Imahara. 1013-1018 [doi]
- Collective Latent Dirichlet AllocationZhiyong Shen, Jun Sun, Yi-Dong Shen. 1019-1024 [doi]
- Document-Word Co-regularization for Semi-supervised Sentiment AnalysisVikas Sindhwani, Prem Melville. 1025-1030 [doi]
- A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation DetectionYang Song, Lu Zhang 0007, C. Lee Giles. 1031-1036 [doi]
- Block-Iterative Algorithms for Non-negative Matrix ApproximationSuvrit Sra. 1037-1042 [doi]
- A Novel Method of Combined Feature Extraction for RecognitionTingkai Sun, Songcan Chen, Jing-yu Yang, Pengfei Shi. 1043-1048 [doi]
- Prediction of Skin Penetration Using Machine Learning MethodsYi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey. 1049-1054 [doi]
- A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic SearchJie Tang, Ruoming Jin, Jing Zhang. 1055-1060 [doi]
- Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular ExpressionsRoberto Trasarti, Francesco Bonchi, Bart Goethals. 1061-1066 [doi]
- Filling in the Blanks - Krimp Minimisation for Missing DataJilles Vreeken, Arno Siebes. 1067-1072 [doi]
- Computational Discovery of Motifs Using Hierarchical Clustering TechniquesDianhui Wang, Nung Kion Lee. 1073-1078 [doi]
- Inference Analysis in Privacy-Preserving Data Re-publishingGuan Wang, Zutao Zhu, Wenliang Du, Zhouxuan Teng. 1079-1084 [doi]
- Using Wikipedia for Co-clustering Based Cross-Domain Text ClassificationPu Wang, Carlotta Domeniconi, Jian Hu. 1085-1090 [doi]
- Iterative Set Expansion of Named Entities Using the WebRichard C. Wang, William W. Cohen. 1091-1096 [doi]
- Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence LabelingGuillaume Wisniewski, Patrick Gallinari. 1097-1102 [doi]
- Pseudolikelihood EM for Within-network Relational LearningRongjing Xiang, Jennifer Neville. 1103-1108 [doi]
- Publishing Sensitive Transactions for Itemset UtilityYabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei. 1109-1114 [doi]
- Learning the Latent Semantic Space for Ranking in Text RetrievalJun Yan, Shuicheng Yan, Ning Liu, Zheng Chen. 1115-1120 [doi]
- Robust Time-Referenced Segmentation of Moving Object TrajectoriesHyunjin Yoon, Cyrus Shahabi. 1121-1126 [doi]
- Maximum Margin EmbeddingBin Zhao, Fei Wang, Changshui Zhang. 1127-1132 [doi]
- Graph-Based Iterative Hybrid Feature SelectionErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang. 1133-1138 [doi]
- Cleansing Noisy Data StreamsXingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi. 1139-1144 [doi]