Accepted ICDM 2011 Regular Papers

 

Paper Title

Authors

DM211 NonnegativeMatrix Tri-Factorization Based Simultaneous Clustering of Large-Scale Multi-Type RelatedHua Wang, Feiping Nie, Heng Huang, and Chris Ding
DM220 Role-behavior Analysis from Trajectory Data by Cross-domain LearningShin Ando and Einoshin Suzuki
DM225 Beyond `Caveman Communities': Hubs and Spokes for Graph Compression and MiningU Kang and Christos Faloutsos
DM231 Personalized Travel Package RecommendationQi Liu, Yong Ge, Zhongmou Li, EnHong Chen, and Hui Xiong
DM232 Density Estimation based on MassKai Ming Ting, Takashi Washio, Jonathan Wells, and Tony Liu
DM237 Inferring the Diffusion and Evolution of Topics in Social CommunitiesXide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky
DM239 Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time SeriesZhenxing Wang and Laiwan Chan
DM246 S-preconditioner for Multi-fold Data Reduction with Guaranteed User-controlled AccuracyYe Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, C.S. Chang, Jackie Chen, Stephane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert Ross, Karen Schuchardt, Nagiza F. Samatova
DM252 Detecting Community Kernels in Large Social NetworksLiaoruo Wang, Tiancheng Lou, Jie Tang, and John Hopcroft
DM264 LPTA: A Probabilistic Model for Latent Periodic Topic AnalysisZhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang
DM266 Novel Recommendation based on Personal Popularity TendencyJinoh Oh, Sun Park, Hwanjo Yu, Min Song, and Seung-Taek Park
DM304 A Taxi Driving Fraud Detection SystemYong Ge, Hui Xiong, Chuanren Liu, and Zhi-Hua Zhou
DM318 A Generalized Fast Subset Sums Framework for Bayesian Event DetectionKan Shao, Yandong Liu, and Daniel Neill
DM322 Privacy Risk In Graph Stream Publishing For Social Network ApplicationsNigel Medforth and Ke Wang
DM325 Tag Refinement on Semantic Unity GraphYueting Zhuang, Yang Liu, Yin Zhang, Jian Shao, and Fei Wu
DM345 Multi-Instance Metric LearningYe Xu and Wei Ping
DM349 LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link PredictionPrakash Mandayam Comar, Pang-Ning Tan, and Anil Jain
DM385 An In-Depth Study of Stochastic Kronecker GraphsC. Seshadhri, Ali Pinar, and Tamara Kolda
DM389 Towards Optimal Discriminating Order for Multiclass ClassificationDong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, and Hong-Jiang Zhang
DM396 A New Markov Model for Clustering Categorical SequencesTengke Xiong, Shengrui Wang, Qingshan Jiang, and Joshua Zhexue Huang
DM399 Generating Breakpoint-based Timeline Overview for News Topic RetrospectionPo Hu, Minlie Huang, Peng Xu, Weichang Li, Adam Usadi, and Xiaoyan Zhu
DM400 Causal Associative ClassificationKui Yu, Xindong Wu, Wei Ding, and Hao Wang
DM407 D-cores: measuring cohesion and collaboration of directed graphsChristos Giatsidis, Michalis Vazirgiannis, and Dimitrios Thilikos
DM409 Mining Dominant Patterns in the SkyArnaud Soulet, Chedy Raissi, Marc Plantevit, and Bruno Cremilleux
DM412 Detection of Cross-Channel Anomalies From Multiple Data ChannelsDuc-Son Pham, Saha Budhaditya, Dinh Phung, and Svetha Venkatesh
DM437 Sparse Domain Adaptation in Projection Spaces based on Good Similarity FunctionsEmilie Morvant, Amaury Habrard, and Stephane Ayache
DM449 Multi-Task Learning for Bayesian Matrix FactorizationChao Yuan
DM456 Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some DataThanawin Rakthanmanon, Eamonn Keogh, Stefano Lonardi, and Scott Evans
DM461 Mining Historical Archives for Near-Duplicate FiguresThanawin Rakthanmanon, Qiang Zhu, and Eamonn Keogh
DM472 Flexible Fault Tolerant Subspace ClusteringStephan Gunnemann, Emmanuel Muller, Sebastian Raubach, and Thomas Seidl
DM475 Direct Robust Matrix Factorization for Anomaly DetectionLiang Xiong, Xi Chen, and Jeff Schneider
DM484 COMET: A Recipe for Learning and Using Large Ensembles on Massive DataJustin Basilico, Arthur Munson, Tamara Kolda, Kevin Dixon, and Philip Kegelmeyer
DM485 Conditional Anomaly Detection with Soft Harmonic FunctionsMichal Valko, Branislav Kveton, Hamed Valizadegan, Gregory Cooper, and Milos Hauskrecht
DM501 SolarMap: Multifaceted Visual Analytics for Topic ExplorationJimeng Sun, Nan Cao, David Gotz, Yu-Ru Lin, and Huamin Qu
DM505 Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph MininPranay Anchuri, Mohammed Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan, and Arik Sityon
DM509 Finding Novel Diagnostic Gene Patterns based on Interesting Non-redundant Contrast Sequence RulesYuhai Zhao and Guoren Wang
DM519 Document Clustering via Matrix RepresentationXufei Wang, Jiliang Tang, and Huan Liu
DM521 Context-Aware Multi-Instance Learning based on Hierarchical Sparse RepresentationBing Li, Weihua Xiong, and Weiming Hu
DM526 ADANA: Actively Disambiguating Person Names with User InteractionXuezhi Wang, Jie Tang, Hong Cheng, and Philip S. Yu
DM535 Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor NetworksMasud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James Bezdek, Sutharshan Rajasegarar, and Marimuthu Palaniswami
DM544 BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage StruXiaoran Xu and Zhi-Hong Deng
DM559 CEMiner - An Efficient Algorithm for Mining Closed Patterns from Interval-based DataYi-Cheng Chen, Wen-Chih Peng, and Suh-Yin Lee
DM565 On Generating all Optimal Monotone ClassificationsLuite Stegeman and Ad Feelders
DM592 Learning Dirichlet Processes from Partially Observed GroupsAvinava Dubey, Indrajit Bhattacharya, Mrinal Das, Tanveer Faruquie, and Chiranjib Bhattacharyya
DM594 Healing Sample Selection Bias by Source Classifier SelectionChun Wei Seah, Ivor Wai Hung TSANG, and Yew-Soon Ong
DM601 Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional DataJunming Shao, Claudia Plant, Qinli Yang, and Christian Boehm
DM610 Fast and Robust Graph-based Transductive Learning via Minimum Tree CutYan-Ming Zhang, Kaizhu Huang, and Cheng-Lin Liu
DM613 Interesting Multi-Relational PatternsEirini Spyropoulou and Tijl De Bie
DM616 Secure Clustering in Private NetworksBin Yang, Issei Sato, and Hiroshi Nakagawa
DM617 Efficiently Mining Unordered TreesMostafa Haghir Chehreghani
DM622 Boolean Tensor FactorizationsPauli Miettinen
DM636 Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Wouter Duivesteijn and Arno Knobbe
DM638 Finding Robust Itemsets under SubsamplingNikolaj Tatti and Fabian Moerchen
DM644 Combining feature context and spatial context for image data miningHongxing Wang, Junsong Yuan, and Yap-Peng Tan
DM648 Analysis of Textual Variation by Latent Tree StructuresTeemu Roos and Yuan Zou
DM654 Overlapping Correlation ClusteringFrancesco Bonchi, Aristides Gionis, and Antti Ukkonen
DM656 Learning Spectral Embedding for Semi-supervised ClusteringFanhua Shang, L.C. Jiao, YuanYuan Liu, and Fei Wang
DM660 Random Forest Based Feature InductionCeline Vens and Fabrizio Costa
DM667 Semi-Supervised Feature Importance Evaluation with Ensemble LearningBarkia Hasna, Elghazel Haytham, and Aussem Alex
DM675 Local Models for Expectation-Driven Subgroup DiscoveryFlorian Lemmerich and Frank Puppe
DM682 Ranking Web-based Partial Orders by Significance Using a Markov Reference ModelMichel Speiser, Gianluca Antonini, and Abderrahim Labbi
DM684 Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine LogSiyu Gu, Jun Yan, and Shuicheng Yan
DM690 Positive and Unlabeled Learning for Graph ClassificationYuchen Zhao, Xiangnan Kong, and Philip S. Yu
DM693 Handling Conditional DiscriminationIndre Zliobaite, Faisal Kamiran, and Toon Calders
DM713 Signature Pattern Covering via Local Greedy Algorithm and Pattern ShrinkHyungsul Kim, David Sheridan, Sungjin Im, Shobha Vasudevan, Tarek Abdelzaher, and Jiawei Han
DM721 Semi-supervised Hierarchical ClusteringLi Zheng and Tao Li
DM729 Learning with Minimum Supervision: A General Framework for Transductive Transfer LearningMohammad Taha Bahadori, Yan Liu, and Dan Zhang
DM732 Confidence in Predictions from Random Tree EnsemblesSiddhartha Bhattacharyya
DM734 SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold ModelAmit Goyal, Wei Lu, and Laks Lakshmanan
DM739 Patent Maintenance Recommendation with Patent Information Network ModelXin Jin, Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu, and Jiawei Han
DM741 Learning to Rank for Query-focused Multi-Document SummarizationChao Shen and Tao Li
DM744 Class Imbalance, ReduxByron Wallace, Kevin Small, Carla E. Brodley, and Thomas Trikalinos
DM751 Learning Markov Logic Networks via Functional Gradient BoostingTushar Khot, Sriraam Natarajan, Kristian Kersting, and Jude Shavlik
DM752 Heuristic Updatable Weighted Random Subspaces for Nonstationary EnvironmentsThomas Hoens, Robi Polikar, and Nitesh Chawla
DM765 Threshold Conditions for Arbitrary Cascade Models on Arbitrary NetworksB. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, and Christos Faloutsos
DM773 Learning Tags from Unsegmented Videos of Multiple Human ActionsTimothy Hospedales, Shaogang Gong, and Tao Xiang
DM793 Recursive multi-step time series forecasting by perturbing dataSouhaib Ben Taieb and Gianluca Bontempi
DM798 An Analysis of Performance Measures for Binary ClassifiersCharles Parker
DM802 Maximum Entropy Modelling for Assessing Results on Real-Valued DataKleanthis-Nikolaos Kontonasios, Jilles Vreeken, and Tijl De Bie
DM813 Diverse Dimension Decomposition of an Itemsets SpaceMikalai Tsytsarau, Themis Palpanas, Francesco Bonchi, and Aristides Gionis
DM817 Multi-Task Learning with Task RelationsZhao Xu and Kristian Kersting
DM833 A Robust Clustering Algorithm Based on Aggregated Heat Kernel MappingHao Huang, Shinjae Yoo, Hong Qin, and Dantong Yu
DM849 Isograph: Neighbourhood Graph Construction Based On Geodesic Distance For Semi-Supervised LearningMarjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, and Mohammad Hossein Rohban
DM859 Minimizing Seed Set for Viral MarketingLong Cheng and Raymond Chi-Wing WONG
DM865 Efficient Mining of a Concise and Lossless Representation of High Utility ItemsetsCheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, and Vincent S. Tseng
DM875 Understanding Propagation Error and Its Effect on Collective Classi?cationRongjing Xiang and Jennifer Neville
DM877 Structured Feature Selection and Task Relationship Inference for Multi-Task LearningHongliang Fei and Jun Huan
DM880 Clusterability Analysis and Incremental Sampling for Nystrom Extension Based Spectral ClusteringXianchao Zhang and Quanzeng You
DM895 Word Cloud Model for Text CategorizationTam T. Nguyen, Kuiyu Chang, and Siu Cheung Hui
DM896 Partitionable kernels for mapping kernelsKilho Shin
DM897 Improving Product Classification Using ImagesAnitha Kannan, Partha Talukdar, Nikhil Rasiwasia, and Qifa Ke
DM903 Feature Selection via $\ell_{2,1}$-Norm Support Vector MachineXiao Cai, Feiping Nie, Heng Huang, and Chris Ding
DM905 Simple Multiple Noisy Label Utilization StrategiesVictor Sheng
DM914 A Hypergraph-based Method for Discovering Semantically Associated ItemsetsHaishan Liu, Paea LePendu, Ruoming Jin, and Dejing Dou
DM919 Enabling Fast Lazy Learning for Data StreamsPeng Zhang, Byron Gao, Xingquan Zhu, and Li Guo
DM923 An Efficient Greedy Method for Unsupervised Feature SelectionAhmed Farahat, Ali Ghodsi, and Mohamed S. Kamel
DM949 Learning classification with auxiliary probabilistic informationQuang Nguyen, Hamed Valizadegan, and Milos Hauskrecht
DM951 Mining Heavy Subgraphs in Time-Evolving NetworksPetko Bogdanov, Misael Mongiovi, and Ambuj K. Singh
DM961 TWITOBI: A Recommendation System for Twitter using Probabilistic ModelingYounghoon Kim and Kyuseok Shim
DM991 Algorithms for Mining the Evolution of Conserved Relational States in Dynamic NetworksRezwan Ahmed and George Karypis
DM998 SLIM: Sparse Linear Methods for Top-N Recommender SystemsXia Ning and George Karypis

Accepted ICDM 2011 Short Papers

 

Paper Title

Authors

DM247 On the Hardness of Graph AnonymizationCharu Aggarwal, Yao Li, and Philip S. Yu
DM288 Entropy-Based Graph Mining: Application to Biological and Social NetworksYoung-Rae Cho and Edward Casey Kenley
DM298 Scalable Diversified Ranking on GraphsRonghua Li and Jeffrey Xu Yu
DM300 A Spectral Framework for Detecting Inconsistency across Multi-Source Object Relationships Jing Gao, Wei Fan, Deepak Turaga, Srinivasan Parthasarathy, and Jiawei Han
DM307 Twin Gaussian Processes for Binary ClassificationJianjun He, Hong Gu, and Zhelong Wang
DM317 Tensor Fold-in Algorithms for Social Tagging PredictionMiao Zhang and Chris Ding
DM324 A Study of Laplacian Spectra of Graph for Subgraph QueriesLei Zhu and Qinbao Song
DM341 Manifold Learning and Missing Data Recovery through Unsupervised RegressionMiguel Carreira-Perpinan and Zhengdong Lu
DM354 Classifying Categorical Data by Rule-based NeighborsJiabing Wang, Pei Zhang, Guihua Wen, and Jia Wei
DM361 Optimizing Performance Measures for Feature SelectionQi Mao and Ivor Wai Hung Tsang
DM383 Discovering the Intrinsic Cardinality and Dimensionality of Time Series using MDLBing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, and Eamonn Keogh
DM391 Modeling High-Level Behavior Patterns for Precise Similarity Analysis of SoftwareTaeho Kwon and Zhendong Su
DM394 Tracking and Connecting Topics via Incremental Hierarchical Dirichlet ProcessesZekai Gao, Yangqiu Song, Shixia Liu, and Haixun Wang
DM395 Learning Protein Folding Energy FunctionsWei Guan, Arkadas Ozakin, Alexander Gray, Jose Borreguero, Shashi Pandit, and Jeffrey Skolnick
DM427 Efficient Incremental Mining of Closed Sequential Patterns and its Application in Query Completion Chuancong Gao, Jianyong Wang, and Qingyan Yang
DM428 Web Horror Image Recognition Based on Context-Aware Multi-Instance LearningBing Li, Weihua Xiong, and weiming Hu
DM495 Clustering with Attribute-Level ConstraintsJana Schmidt, Elisabeth Braendle, and Stefan Kramer
DM503 Unsupervised Anomaly Intrusion Detection Via Localized Bayesian Feature SelectionWenato Fan, Nizar Bouguila, and Djemel Ziou
DM506 ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand ProvisioningYexi Jiang, Chang-shing Perng, Tao Li, and Rong Chang
DM510 Identities Anonymization in Dynamic Social NetworksChih-Hua Tai Tai, Peng-Jui Tseng, Philip S. Yu, and Ming-Syan Chen
DM520 Cross-temporal Link PredictionSatoshi Oyama, Kohei Hayashi, and Hisashi Kashima
DM523 Detecting Recurring and Novel Classes in Concept-Drifting Data StreamsMohammad Masud, Tahseen Al-Khateeb, Latifur Khan, Charu Aggarwal, Jing Gao, and Jiawei Han
DM525 Semi-Supervised Discriminant HashingSaehoon Kim and Seungjin Choi
DM531 Helix: Unsupervised Grammar Induction for Structured Human Activity RecognitionHuan-Kai Peng, Pang Wu, Jiang Zhu, and Ying Zhang
DM534 A Fast and Flexible Clustering Algorithm Using Binary DiscretizationMahito Sugiyama and Akihiro Yamamoto
DM539 Online Multi-Task Learning for Personalized Continuous Activity RecognitionXu Sun, Hisashi Kashima, Ryota Tomioka, and Naonori Ueda
DM555 Text Clustering via Constrained Nonnegative Matrix FactorizationYan Zhu, Liping Jing, and Jian Yu
DM590 Discovering Emerging Topics in Social Streams via Link Anomaly DetectionToshimitsu Takahashi, Ryota Tomioka, and Kenji Yamanishi
DM608 SPO: Structure Preserving Oversampling for Imbalanced Time Series ClassificationHong Cao, Xiao-Li Li, Yew-Kwong Woon, and See-Kiong Ng
DM614 A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving SubmatrixJens Humrich, Thomas Gartner, and Gemma Garriga
DM642 Discovering Thematic Patterns in Videos via Cohesive Sub-graph MiningGangqiang Zhao and Junsong Yuan
DM647 Constraint selection based semi-supervised feature selectionMohammed Hindawi, Kais Allab, and Khalid Benabdeslem
DM696 Distance Preserving Graph SimplificationNing Ruan, Ruoming Jin, and Yan Huang
DM763 Discovery of Versatile Temporal Subspace Patterns in 3-D DatasetsZhen Hu and Raj Bhatnagar
DM768 Learning from Negative Examples in Set-ExpansionPrateek Jindal and Dan Roth
DM781 Review Graph based Online Store Review Spammer DetectionGuan Wang, Sihong Xie, Bing Liu, and Philip S. Yu
DM785 Identifying Differentially-Expressed Genes via Weighted Rank AggregationQiong Fang, Jianlin Feng, and Wilfred Ng
DM808 Calculating Feature Weights in Naive Bayes with Kullback-Leibler MeasureChang-Hwan Lee, Fernando Gutierrez, and Dejing Dou
DM853 How Does Research Evolve? Pattern Mining for Research Meme CyclesDan He, Xingquan Zhu, and Douglas Parker
DM907 Mixture of softmax sLDAXiaoXu Li
DM913 DIGRank: Using Global Degree to Facilitate Ranking in an Incomplete GraphXiang Niu, Lusong Li, Xiaobing Xiong, Daniel Tkach, He Li, and Ke Xu
DM917 Supervised Lazy RandomWalk for Topic-Focused Multi-Document SummarizationPan Du, Jiafeng Guo, and Xue-Qi Cheng
DM928 Using frequent closed itemsets for data dimensionality reductionPetr Krajca, Jan Outrata, and Vilem Vychodil
DM930 Finding Communities in Dynamic Social NetworksChayant Tantipathananandh and Tanya Berger-Wolf
DM953 Co-clustering for Binary and categorical data with maximum ModularityLazhar Labiod and Mohamed Nadif
DM965 Characterizing Inverse Time Dependency in Multi-class LearningDanqi Chen, Weizhu Chen, and Qiang Yang
DM980 Low Rank Metric Learning with Manifold RegularizationGuoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu

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