Accepted ICDM 2011 Regular Papers
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Paper Title |
Authors |
| DM211 | NonnegativeMatrix Tri-Factorization Based Simultaneous Clustering of Large-Scale Multi-Type Related | Hua Wang, Feiping Nie, Heng Huang, and Chris Ding |
| DM220 | Role-behavior Analysis from Trajectory Data by Cross-domain Learning | Shin Ando and Einoshin Suzuki |
| DM225 | Beyond `Caveman Communities': Hubs and Spokes for Graph Compression and Mining | U Kang and Christos Faloutsos |
| DM231 | Personalized Travel Package Recommendation | Qi Liu, Yong Ge, Zhongmou Li, EnHong Chen, and Hui Xiong |
| DM232 | Density Estimation based on Mass | Kai Ming Ting, Takashi Washio, Jonathan Wells, and Tony Liu |
| DM237 | Inferring the Diffusion and Evolution of Topics in Social Communities | Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky |
| DM239 | Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series | Zhenxing Wang and Laiwan Chan |
| DM246 | S-preconditioner for Multi-fold Data Reduction with Guaranteed User-controlled Accuracy | Ye 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 Networks | Liaoruo Wang, Tiancheng Lou, Jie Tang, and John Hopcroft |
| DM264 | LPTA: A Probabilistic Model for Latent Periodic Topic Analysis | Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang |
| DM266 | Novel Recommendation based on Personal Popularity Tendency | Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, and Seung-Taek Park |
| DM304 | A Taxi Driving Fraud Detection System | Yong Ge, Hui Xiong, Chuanren Liu, and Zhi-Hua Zhou |
| DM318 | A Generalized Fast Subset Sums Framework for Bayesian Event Detection | Kan Shao, Yandong Liu, and Daniel Neill |
| DM322 | Privacy Risk In Graph Stream Publishing For Social Network Applications | Nigel Medforth and Ke Wang |
| DM325 | Tag Refinement on Semantic Unity Graph | Yueting Zhuang, Yang Liu, Yin Zhang, Jian Shao, and Fei Wu |
| DM345 | Multi-Instance Metric Learning | Ye Xu and Wei Ping |
| DM349 | LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction | Prakash Mandayam Comar, Pang-Ning Tan, and Anil Jain |
| DM385 | An In-Depth Study of Stochastic Kronecker Graphs | C. Seshadhri, Ali Pinar, and Tamara Kolda |
| DM389 | Towards Optimal Discriminating Order for Multiclass Classification | Dong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, and Hong-Jiang Zhang |
| DM396 | A New Markov Model for Clustering Categorical Sequences | Tengke Xiong, Shengrui Wang, Qingshan Jiang, and Joshua Zhexue Huang |
| DM399 | Generating Breakpoint-based Timeline Overview for News Topic Retrospection | Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam Usadi, and Xiaoyan Zhu |
| DM400 | Causal Associative Classification | Kui Yu, Xindong Wu, Wei Ding, and Hao Wang |
| DM407 | D-cores: measuring cohesion and collaboration of directed graphs | Christos Giatsidis, Michalis Vazirgiannis, and Dimitrios Thilikos |
| DM409 | Mining Dominant Patterns in the Sky | Arnaud Soulet, Chedy Raissi, Marc Plantevit, and Bruno Cremilleux |
| DM412 | Detection of Cross-Channel Anomalies From Multiple Data Channels | Duc-Son Pham, Saha Budhaditya, Dinh Phung, and Svetha Venkatesh |
| DM437 | Sparse Domain Adaptation in Projection Spaces based on Good Similarity Functions | Emilie Morvant, Amaury Habrard, and Stephane Ayache |
| DM449 | Multi-Task Learning for Bayesian Matrix Factorization | Chao Yuan |
| DM456 | Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data | Thanawin Rakthanmanon, Eamonn Keogh, Stefano Lonardi, and Scott Evans |
| DM461 | Mining Historical Archives for Near-Duplicate Figures | Thanawin Rakthanmanon, Qiang Zhu, and Eamonn Keogh |
| DM472 | Flexible Fault Tolerant Subspace Clustering | Stephan Gunnemann, Emmanuel Muller, Sebastian Raubach, and Thomas Seidl |
| DM475 | Direct Robust Matrix Factorization for Anomaly Detection | Liang Xiong, Xi Chen, and Jeff Schneider |
| DM484 | COMET: A Recipe for Learning and Using Large Ensembles on Massive Data | Justin Basilico, Arthur Munson, Tamara Kolda, Kevin Dixon, and Philip Kegelmeyer |
| DM485 | Conditional Anomaly Detection with Soft Harmonic Functions | Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory Cooper, and Milos Hauskrecht |
| DM501 | SolarMap: Multifaceted Visual Analytics for Topic Exploration | Jimeng Sun, Nan Cao, David Gotz, Yu-Ru Lin, and Huamin Qu |
| DM505 | Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph Minin | Pranay 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 Rules | Yuhai Zhao and Guoren Wang |
| DM519 | Document Clustering via Matrix Representation | Xufei Wang, Jiliang Tang, and Huan Liu |
| DM521 | Context-Aware Multi-Instance Learning based on Hierarchical Sparse Representation | Bing Li, Weihua Xiong, and Weiming Hu |
| DM526 | ADANA: Actively Disambiguating Person Names with User Interaction | Xuezhi Wang, Jie Tang, Hong Cheng, and Philip S. Yu |
| DM535 | Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks | Masud 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 Stru | Xiaoran Xu and Zhi-Hong Deng |
| DM559 | CEMiner - An Efficient Algorithm for Mining Closed Patterns from Interval-based Data | Yi-Cheng Chen, Wen-Chih Peng, and Suh-Yin Lee |
| DM565 | On Generating all Optimal Monotone Classifications | Luite Stegeman and Ad Feelders |
| DM592 | Learning Dirichlet Processes from Partially Observed Groups | Avinava Dubey, Indrajit Bhattacharya, Mrinal Das, Tanveer Faruquie, and Chiranjib Bhattacharyya |
| DM594 | Healing Sample Selection Bias by Source Classifier Selection | Chun Wei Seah, Ivor Wai Hung TSANG, and Yew-Soon Ong |
| DM601 | Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional Data | Junming Shao, Claudia Plant, Qinli Yang, and Christian Boehm |
| DM610 | Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut | Yan-Ming Zhang, Kaizhu Huang, and Cheng-Lin Liu |
| DM613 | Interesting Multi-Relational Patterns | Eirini Spyropoulou and Tijl De Bie |
| DM616 | Secure Clustering in Private Networks | Bin Yang, Issei Sato, and Hiroshi Nakagawa |
| DM617 | Efficiently Mining Unordered Trees | Mostafa Haghir Chehreghani |
| DM622 | Boolean Tensor Factorizations | Pauli Miettinen |
| DM636 | Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup | Wouter Duivesteijn and Arno Knobbe |
| DM638 | Finding Robust Itemsets under Subsampling | Nikolaj Tatti and Fabian Moerchen |
| DM644 | Combining feature context and spatial context for image data mining | Hongxing Wang, Junsong Yuan, and Yap-Peng Tan |
| DM648 | Analysis of Textual Variation by Latent Tree Structures | Teemu Roos and Yuan Zou |
| DM654 | Overlapping Correlation Clustering | Francesco Bonchi, Aristides Gionis, and Antti Ukkonen |
| DM656 | Learning Spectral Embedding for Semi-supervised Clustering | Fanhua Shang, L.C. Jiao, YuanYuan Liu, and Fei Wang |
| DM660 | Random Forest Based Feature Induction | Celine Vens and Fabrizio Costa |
| DM667 | Semi-Supervised Feature Importance Evaluation with Ensemble Learning | Barkia Hasna, Elghazel Haytham, and Aussem Alex |
| DM675 | Local Models for Expectation-Driven Subgroup Discovery | Florian Lemmerich and Frank Puppe |
| DM682 | Ranking Web-based Partial Orders by Significance Using a Markov Reference Model | Michel Speiser, Gianluca Antonini, and Abderrahim Labbi |
| DM684 | Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine Log | Siyu Gu, Jun Yan, and Shuicheng Yan |
| DM690 | Positive and Unlabeled Learning for Graph Classification | Yuchen Zhao, Xiangnan Kong, and Philip S. Yu |
| DM693 | Handling Conditional Discrimination | Indre Zliobaite, Faisal Kamiran, and Toon Calders |
| DM713 | Signature Pattern Covering via Local Greedy Algorithm and Pattern Shrink | Hyungsul Kim, David Sheridan, Sungjin Im, Shobha Vasudevan, Tarek Abdelzaher, and Jiawei Han |
| DM721 | Semi-supervised Hierarchical Clustering | Li Zheng and Tao Li |
| DM729 | Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning | Mohammad Taha Bahadori, Yan Liu, and Dan Zhang |
| DM732 | Confidence in Predictions from Random Tree Ensembles | Siddhartha Bhattacharyya |
| DM734 | SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model | Amit Goyal, Wei Lu, and Laks Lakshmanan |
| DM739 | Patent Maintenance Recommendation with Patent Information Network Model | Xin 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 Summarization | Chao Shen and Tao Li |
| DM744 | Class Imbalance, Redux | Byron Wallace, Kevin Small, Carla E. Brodley, and Thomas Trikalinos |
| DM751 | Learning Markov Logic Networks via Functional Gradient Boosting | Tushar Khot, Sriraam Natarajan, Kristian Kersting, and Jude Shavlik |
| DM752 | Heuristic Updatable Weighted Random Subspaces for Nonstationary Environments | Thomas Hoens, Robi Polikar, and Nitesh Chawla |
| DM765 | Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks | B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, and Christos Faloutsos |
| DM773 | Learning Tags from Unsegmented Videos of Multiple Human Actions | Timothy Hospedales, Shaogang Gong, and Tao Xiang |
| DM793 | Recursive multi-step time series forecasting by perturbing data | Souhaib Ben Taieb and Gianluca Bontempi |
| DM798 | An Analysis of Performance Measures for Binary Classifiers | Charles Parker |
| DM802 | Maximum Entropy Modelling for Assessing Results on Real-Valued Data | Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, and Tijl De Bie |
| DM813 | Diverse Dimension Decomposition of an Itemsets Space | Mikalai Tsytsarau, Themis Palpanas, Francesco Bonchi, and Aristides Gionis |
| DM817 | Multi-Task Learning with Task Relations | Zhao Xu and Kristian Kersting |
| DM833 | A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping | Hao Huang, Shinjae Yoo, Hong Qin, and Dantong Yu |
| DM849 | Isograph: Neighbourhood Graph Construction Based On Geodesic Distance For Semi-Supervised Learning | Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, and Mohammad Hossein Rohban |
| DM859 | Minimizing Seed Set for Viral Marketing | Long Cheng and Raymond Chi-Wing WONG |
| DM865 | Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets | Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, and Vincent S. Tseng |
| DM875 | Understanding Propagation Error and Its Effect on Collective Classi?cation | Rongjing Xiang and Jennifer Neville |
| DM877 | Structured Feature Selection and Task Relationship Inference for Multi-Task Learning | Hongliang Fei and Jun Huan |
| DM880 | Clusterability Analysis and Incremental Sampling for Nystrom Extension Based Spectral Clustering | Xianchao Zhang and Quanzeng You |
| DM895 | Word Cloud Model for Text Categorization | Tam T. Nguyen, Kuiyu Chang, and Siu Cheung Hui |
| DM896 | Partitionable kernels for mapping kernels | Kilho Shin |
| DM897 | Improving Product Classification Using Images | Anitha Kannan, Partha Talukdar, Nikhil Rasiwasia, and Qifa Ke |
| DM903 | Feature Selection via $\ell_{2,1}$-Norm Support Vector Machine | Xiao Cai, Feiping Nie, Heng Huang, and Chris Ding |
| DM905 | Simple Multiple Noisy Label Utilization Strategies | Victor Sheng |
| DM914 | A Hypergraph-based Method for Discovering Semantically Associated Itemsets | Haishan Liu, Paea LePendu, Ruoming Jin, and Dejing Dou |
| DM919 | Enabling Fast Lazy Learning for Data Streams | Peng Zhang, Byron Gao, Xingquan Zhu, and Li Guo |
| DM923 | An Efficient Greedy Method for Unsupervised Feature Selection | Ahmed Farahat, Ali Ghodsi, and Mohamed S. Kamel |
| DM949 | Learning classification with auxiliary probabilistic information | Quang Nguyen, Hamed Valizadegan, and Milos Hauskrecht |
| DM951 | Mining Heavy Subgraphs in Time-Evolving Networks | Petko Bogdanov, Misael Mongiovi, and Ambuj K. Singh |
| DM961 | TWITOBI: A Recommendation System for Twitter using Probabilistic Modeling | Younghoon Kim and Kyuseok Shim |
| DM991 | Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks | Rezwan Ahmed and George Karypis |
| DM998 | SLIM: Sparse Linear Methods for Top-N Recommender Systems | Xia Ning and George Karypis |
Accepted ICDM 2011 Short Papers
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Paper Title |
Authors |
| DM247 | On the Hardness of Graph Anonymization | Charu Aggarwal, Yao Li, and Philip S. Yu |
| DM288 | Entropy-Based Graph Mining: Application to Biological and Social Networks | Young-Rae Cho and Edward Casey Kenley |
| DM298 | Scalable Diversified Ranking on Graphs | Ronghua 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 Classification | Jianjun He, Hong Gu, and Zhelong Wang |
| DM317 | Tensor Fold-in Algorithms for Social Tagging Prediction | Miao Zhang and Chris Ding |
| DM324 | A Study of Laplacian Spectra of Graph for Subgraph Queries | Lei Zhu and Qinbao Song |
| DM341 | Manifold Learning and Missing Data Recovery through Unsupervised Regression | Miguel Carreira-Perpinan and Zhengdong Lu |
| DM354 | Classifying Categorical Data by Rule-based Neighbors | Jiabing Wang, Pei Zhang, Guihua Wen, and Jia Wei |
| DM361 | Optimizing Performance Measures for Feature Selection | Qi Mao and Ivor Wai Hung Tsang |
| DM383 | Discovering the Intrinsic Cardinality and Dimensionality of Time Series using MDL | Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, and Eamonn Keogh |
| DM391 | Modeling High-Level Behavior Patterns for Precise Similarity Analysis of Software | Taeho Kwon and Zhendong Su |
| DM394 | Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes | Zekai Gao, Yangqiu Song, Shixia Liu, and Haixun Wang |
| DM395 | Learning Protein Folding Energy Functions | Wei 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 Learning | Bing Li, Weihua Xiong, and weiming Hu |
| DM495 | Clustering with Attribute-Level Constraints | Jana Schmidt, Elisabeth Braendle, and Stefan Kramer |
| DM503 | Unsupervised Anomaly Intrusion Detection Via Localized Bayesian Feature Selection | Wenato Fan, Nizar Bouguila, and Djemel Ziou |
| DM506 | ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand Provisioning | Yexi Jiang, Chang-shing Perng, Tao Li, and Rong Chang |
| DM510 | Identities Anonymization in Dynamic Social Networks | Chih-Hua Tai Tai, Peng-Jui Tseng, Philip S. Yu, and Ming-Syan Chen |
| DM520 | Cross-temporal Link Prediction | Satoshi Oyama, Kohei Hayashi, and Hisashi Kashima |
| DM523 | Detecting Recurring and Novel Classes in Concept-Drifting Data Streams | Mohammad Masud, Tahseen Al-Khateeb, Latifur Khan, Charu Aggarwal, Jing Gao, and Jiawei Han |
| DM525 | Semi-Supervised Discriminant Hashing | Saehoon Kim and Seungjin Choi |
| DM531 | Helix: Unsupervised Grammar Induction for Structured Human Activity Recognition | Huan-Kai Peng, Pang Wu, Jiang Zhu, and Ying Zhang |
| DM534 | A Fast and Flexible Clustering Algorithm Using Binary Discretization | Mahito Sugiyama and Akihiro Yamamoto |
| DM539 | Online Multi-Task Learning for Personalized Continuous Activity Recognition | Xu Sun, Hisashi Kashima, Ryota Tomioka, and Naonori Ueda |
| DM555 | Text Clustering via Constrained Nonnegative Matrix Factorization | Yan Zhu, Liping Jing, and Jian Yu |
| DM590 | Discovering Emerging Topics in Social Streams via Link Anomaly Detection | Toshimitsu Takahashi, Ryota Tomioka, and Kenji Yamanishi |
| DM608 | SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification | Hong Cao, Xiao-Li Li, Yew-Kwong Woon, and See-Kiong Ng |
| DM614 | A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix | Jens Humrich, Thomas Gartner, and Gemma Garriga |
| DM642 | Discovering Thematic Patterns in Videos via Cohesive Sub-graph Mining | Gangqiang Zhao and Junsong Yuan |
| DM647 | Constraint selection based semi-supervised feature selection | Mohammed Hindawi, Kais Allab, and Khalid Benabdeslem |
| DM696 | Distance Preserving Graph Simplification | Ning Ruan, Ruoming Jin, and Yan Huang |
| DM763 | Discovery of Versatile Temporal Subspace Patterns in 3-D Datasets | Zhen Hu and Raj Bhatnagar |
| DM768 | Learning from Negative Examples in Set-Expansion | Prateek Jindal and Dan Roth |
| DM781 | Review Graph based Online Store Review Spammer Detection | Guan Wang, Sihong Xie, Bing Liu, and Philip S. Yu |
| DM785 | Identifying Differentially-Expressed Genes via Weighted Rank Aggregation | Qiong Fang, Jianlin Feng, and Wilfred Ng |
| DM808 | Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure | Chang-Hwan Lee, Fernando Gutierrez, and Dejing Dou |
| DM853 | How Does Research Evolve? Pattern Mining for Research Meme Cycles | Dan He, Xingquan Zhu, and Douglas Parker |
| DM907 | Mixture of softmax sLDA | XiaoXu Li |
| DM913 | DIGRank: Using Global Degree to Facilitate Ranking in an Incomplete Graph | Xiang Niu, Lusong Li, Xiaobing Xiong, Daniel Tkach, He Li, and Ke Xu |
| DM917 | Supervised Lazy RandomWalk for Topic-Focused Multi-Document Summarization | Pan Du, Jiafeng Guo, and Xue-Qi Cheng |
| DM928 | Using frequent closed itemsets for data dimensionality reduction | Petr Krajca, Jan Outrata, and Vilem Vychodil |
| DM930 | Finding Communities in Dynamic Social Networks | Chayant Tantipathananandh and Tanya Berger-Wolf |
| DM953 | Co-clustering for Binary and categorical data with maximum Modularity | Lazhar Labiod and Mohamed Nadif |
| DM965 | Characterizing Inverse Time Dependency in Multi-class Learning | Danqi Chen, Weizhu Chen, and Qiang Yang |
| DM980 | Low Rank Metric Learning with Manifold Regularization | Guoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu |