• 
  Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu (Eds.): Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE 2011 ISBN 978-0-7695-4409-0

2011 Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts

• 
  Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly: Sparse Group Lasso for Regression on Land Climate Variables. 1-8
• 
  William Hendrix, Isaac K. Tetteh, Ankit Agrawal, Fredrick H. M. Semazzi, Wei-keng Liao, Alok N. Choudhary: Community Dynamics and Analysis of Decadal Trends in Climate Data. 9-14
• 
  Vasanth Iyer, S. Sitharama Iyengar: Modeling Unreliable Data and Sensors: Using F-measure Attribute Performance with Test Samples from Low-Cost Sensors. 15-22
• 
  Vladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su: Evaluating Hurricane Intensity Prediction Techniques in Real Time. 23-29
• 
  Kollukuduru Sravanthi, K. S. Rajan: Spatio-Temporal Mining of Core Regions: Study of Rainfall Patterns in Monsoonal India. 30-37
• 
  Wei Zhuo, Prabhat, Christopher J. Paciorek, Cari Kaufman, Wes Bethel: Parallel Kriging Analysis for Large Spatial Datasets. 38-44

ICDM SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction

• 
  Brett W. Bader, W. Philip Kegelmeyer, Peter A. Chew: Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine Learning. 45-52
• 
  Anthony Brew, Derek Greene, Daniel Archambault, Padraig Cunningham: Deriving Insights from National Happiness Indices. 53-60
• 
  Lin Dai, Hechun Chen, Xuemei Li: Improving Sentiment Classification Using Feature Highlighting and Feature Bagging. 61-66
• 
  Giuseppe Di Fabbrizio, Ahmet Aker, Robert J. Gaizauskas: STARLET: Multi-document Summarization of Service and Product Reviews with Balanced Rating Distributions. 67-74
• 
  Roula Hobeica, Hazem M. Hajj, Wassim El-Hajj: Machine Reading for Notion-Based Sentiment Mining. 75-80
• 
  Bin Lu, Myle Ott, Claire Cardie, Benjamin K. Tsou: Multi-aspect Sentiment Analysis with Topic Models. 81-88
• 
  Samaneh Moghaddam, Martin Ester: AQA: Aspect-based Opinion Question Answering. 89-96
• 
  Livia Polanyi, Martin van den Berg: Discourse Structure and Sentiment. 97-102
• 
  Xiaojun Quan, Liu Wenyin, Wenyu Dou: Longitudinal Sales Responses with Online Reviews. 103-108
• 
  Shabnam Shariaty, Samaneh Moghaddam: Fine-Grained Opinion Mining Using Conditional Random Fields. 109-114
• 
  Evgeny A. Stepanov, Giuseppe Riccardi: Detecting General Opinions from Customer Surveys. 115-122
• 
  Aleksander Wawer: Mining Opinion Attributes from Texts Using Multiple Kernel Learning. 123-128
• 
  Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary: SES: Sentiment Elicitation System for Social Media Data. 129-136

KDCloud 2011: International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms

• 
  Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews: Detecting Abnormal Machine Characteristics in Cloud Infrastructures. 137-144
• 
  Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh: Frequent Pairs in Data Streams: Exploiting Parallelism and Skew. 145-150
• 
  Giuseppe Di Fatta, Francesco Blasa, Simone Cafiero, Giancarlo Fortino: Epidemic K-Means Clustering. 151-158
• 
  Songtao Guo, Jianxiong Dong: A Large Scale URL Verification Pipeline Using Hadoop. 159-166
• 
  James Horey, Brent Lagesse: Latency Minimizing Tasking for Information Processing Systems. 167-173
• 
  Qiuhong Li, Zhihui Wang, Wei Wang, Yimin Liu, Peng Wang, Tao Yu: LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-Scale Networks. 174-179
• 
  Christopher McCubbin, Bryan Perozzi, Andrew Levine, Abdul Rahman: Finding the 'Needle': Locating Interesting Nodes Using the K-shortest Paths Algorithm in MapReduce. 180-187
• 
  Jonathan Tancer, Aparna S. Varde: The Deployment of MML for Data Analytics over the Cloud. 188-195
• 
  Dean Teffer, Amanda Hutton, Joydeep Ghosh: Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures. 196-203

OEDM 2011: The 6th Workshop on Optimization Based Techniques for Emerging Data Mining Problems

• 
  Yibing Chen, Lingling Zhang, Yong Shi: Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management. 204-211
• 
  Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary: Learning to Group Web Text Incorporating Prior Information. 212-219
• 
  Lena Chekina, Lior Rokach, Bracha Shapira: Meta-learning for Selecting a Multi-label Classification Algorithm. 220-227
• 
  Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali-Asghar Soltani-Farani: Efficient Iterative Semi-supervised Classification on Manifold. 228-235
• 
  Stephen L. France, Ahmed Abbasi: Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label Learning. 236-243
• 
  Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban: Active Learning from Positive and Unlabeled Data. 244-250
• 
  Kathy Lee, Diana Palsetia, Ramanathan Narayanan, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary: Twitter Trending Topic Classification. 251-258
• 
  Nan Li, Naoki Abe: Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning. 259-266
• 
  Lingfeng Niu, Jianmin Wu, Yong Shi: Entity Resolution with Attribute and Connection Graph. 267-271
• 
  Jacques-Henri Sublemontier, Lionel Martin, Guillaume Cleuziou, Matthieu Exbrayat: Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based Approaches. 272-279
• 
  Warawut Suphamitmongkol, Guangli Nie, Rong Liu, Yong Shi: Classification for Orange Varieties Using Near Infrared Spectroscopy. 280-285
• 
  Ashutosh Tewari, Michael Giering, Arvind Raghunathan: Parametric Characterization of Multimodal Distributions with Non-gaussian Modes. 286-292
• 
  Chang-Dong Wang, Jian-Huang Lai, Dong Huang: Kernel-Based Clustering with Automatic Cluster Number Selection. 293-299
• 
  Jian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang: A Novel Co-clustering Method with Intra-similarities. 300-306
• 
  Huasheng Zhu, Peng Wang, Wei Wang, Baile Shi: Stream Prediction Using Representative Episode Rules. 307-314

DMCCI 2011: Data Mining Technologies for Computational Collective Intelligence

• 
  Erik Cambria, Yangqiu Song, Haixun Wang, Amir Hussain: Isanette: A Common and Common Sense Knowledge Base for Opinion Mining. 315-322
• 
  Siyuan Liu, Lei Li, Christos Faloutsos, Lionel M. Ni: Mobile Phone Graph Evolution: Findings, Model and Interpretation. 323-330
• 
  Abiodun Modupe, Oludayo O. Olugbara, Sunday O. Ojo: Exploring Support Vector Machines and Random Forests to Detect Advanced Fee Fraud Activities on Internet. 331-335
• 
  Huan-Kai Peng, Jiang Zhu, Dongzhen Piao, Rong Yan, Ying Zhang: Retweet Modeling Using Conditional Random Fields. 336-343
• 
  Jierui Xie, Boleslaw K. Szymanski, Xiaoming Liu: SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic Process. 344-349

COMMPER 2011: Workshop on Mining Communities and People Recommenders

• 
  Michele Brocco, Yonata Andrelo Asikin: Employing Team Composition Strategies for Recommending Teams. 350-357
• 
  Yuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu: Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks. 358-365
• 
  Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi, Ali Hamzeh: An Effective Expert Team Formation in Social Networks Based on Skill Grading. 366-372
• 
  Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman: Time-Aware Ranking in Dynamic Citation Networks. 373-380
• 
  Reihaneh Rabbany Khorasgani, Osmar R. Zaïane: A Diffusion of Innovation-Based Closeness Measure for Network Associations. 381-388

DDDM 2011: Workshop on Domain Driven Data Mining

• 
  Saima Aman, Yogesh Simmhan, Viktor K. Prasanna: Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators. 389-397
• 
  Djellel Eddine Difallah, Ryan G. Benton, Vijay Raghavan, Tom Johnsten: FAARM: Frequent Association Action Rules Mining Using FP-Tree. 398-404
• 
  Jui Hsi Fu, Sing Ling Lee: Certainty-Enhanced Active Learning for Improving Imbalanced Data Classification. 405-412
• 
  Zhichun Fu, Peter Christen, Mac Boot: Automatic Cleaning and Linking of Historical Census Data Using Household Information. 413-420
• 
  Yanqing Ji, Hao Ying, John Tran, Peter Dews, Ayman Mansour, R. Michael Massanari: Mining Infrequent Causal Associations in Electronic Health Databases. 421-428
• 
  Xu Chan Ju, Ying Jie Tian: A Novel Knowledge-Based Twin Support Vector Machine. 429-433
• 
  Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi S. Raghavendra, Oluwafemi Balogun, Lanre Olabinjo: Semi-supervised Failure Prediction for Oil Production Wells. 434-441
• 
  Hassan H. Malik, Vikas S. Bhardwaj: Automatic Training Data Cleaning for Text Classification. 442-449
• 
  Nikos Mitsou, Irene Ntoutsi, Dirk Wollherr, Costas S. Tzafestas, Hans-Peter Kriegel: Revealing Cluster Formation over Huge Volatile Robotic Data. 450-457
• 
  Franca Piazza, Stefan Strohmeier: Domain-Driven Data Mining in Human Resource Management: A Review. 458-465
• 
  Thomas Piton, Julien Blanchard, Fabrice Guillet: CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability. 466-473
• 
  Balaji Vasan Srinivasan, Nathan Gnanasambandam, Shi Zhao, Raj Minhas: Domain-Specific Adaptation of a Partial Least Squares Regression Model for Loan Defaults Prediction. 474-479
• 
  Ramzan Talib, Bernhard Volz, Stefan Jablonski: Agent Assignment for Process Management: Competency-Driven Dynamic Resource Management Methodology. 480-487

MMIS 2011: The 5th International Workshop on Mining Multiple Information Sources

• 
  Naouel Baili, Hichem Frigui: Relational Fuzzy Clustering with Multiple Kernels. 488-495
• 
  Paolo Cremonesi, Antonio Tripodi, Roberto Turrin: Cross-Domain Recommender Systems. 496-503
• 
  Mohammed Gollapalli, Xue Li, Ian Wood, Guido Governatori: Approximate Record Matching Using Hash Grams. 504-511
• 
  You Ji, Shiliang Sun: Multitask Multiclass Support Vector Machines. 512-518
• 
  Duy-Dinh Le, Shin'ichi Satoh: Indexing Faces in Broadcast News Video Archives. 519-526
• 
  Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski: Greedy Regularized Least-Squares for Multi-task Learning. 527-533
• 
  Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler: Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data. 534-539
• 
  Judea Pearl, Elias Bareinboim: Transportability of Causal and Statistical Relations: A Formal Approach. 540-547
• 
  Ipek Tatli, Aysenur Birturk: A Tag-Based Hybrid Music Recommendation System Using Semantic Relations and Multi-domain Information. 548-554

HaCDAIS 2011: Handling Concept Drift and Reoccurring Contexts in Adaptive Information Systems

• 
  Iris Adä, Michael R. Berthold: Unifying Change - Towards a Framework for Detecting the Unexpected. 555-559
• 
  Edward Tersoo Apeh, Bogdan Gabrys: Change Mining of Customer Profiles Based on Transactional Data. 560-567
• 
  Murad Badarna, Ran Wolff: Detecting Mean Changes in Data Streams. 568-572
• 
  Jorn Bakker, Mykola Pechenizkiy, Natalia Sidorova: What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data. 573-580
• 
  Mark Eastwood, Petr Kadlec: Interpretable, Online Soft-Sensors for Process Control. 581-587
• 
  Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy: Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. 588-595
• 
  Georg Krempl, Vera Hofer: Classification in Presence of Drift and Latency. 596-603
• 
  Patrick Lindstrom, Brian Mac Namee, Sarah Jane Delany: Drift Detection Using Uncertainty Distribution Divergence. 604-608
• 
  Gregor Stiglic, Peter Kokol: Interpretability of Sudden Concept Drift in Medical Informatics Domain. 609-613

PADM 2011: Third International Workshop on Privacy Aspects of Data Mining

• 
  John M. Abowd, Matthew J. Schneider: An Application of Differentially Private Linear Mixed Modeling. 614-619
• 
  Rajesh Bejugam, Kristen LeFevre: enList: Automatically Simplifying Privacy Policies. 620-627
• 
  Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler: Privacy Preserving GWAS Data Sharing. 628-635
• 
  Georgios Kalogridis, Stojan Z. Denic: Data Mining and Privacy of Personal Behaviour Types in Smart Grid. 636-642
• 
  Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma: Fairness-aware Learning through Regularization Approach. 643-650
• 
  Joo-Ho Lee, In-Yong Kim, Christine M. O'Keefe: Applicability of Regression-Tree-Based Synthetic Data Methods for Business Data. 651-658
• 
  Yidong Li, Hong Shen: Preventing Identity Disclosure in Hypergraphs. 659-665
• 
  Jinfei Liu, Jun Luo, Joshua Zhexue Huang: Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. 666-673
• 
  Nisarg Raval, Madhuchand Rushi Pillutla, Piyush Bansal, Kannan Srinathan, C. V. Jawahar: Privacy Preserving Outlier Detection Using Locality Sensitive Hashing. 674-681

LEMIR 2011: International Workshop on Learning and Data Mining for Robots

• 
  Somar Boubou, Asuki Kouno, Einoshin Suzuki: Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit. 682-688
• 
  Wang-Zhou Dai, Yang Yu, Zhi-Hua Zhou: Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. 689-696
• 
  Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama: Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. 697-704
• 
  David Meunier, Michèle Sebag, Shin Ando: Characterizing Anomalous Behaviors and Revising Robotic Controllers. 705-710

DMCS 2011: The Fourth Workshop on Data Mining Case Studies

• 
  Noraswaliza Abdullah, Yue Xu, Shlomo Geva: Integrating Collaborative Filtering and Search-Based Techniques for Personalized Online Product Recommendation. 711-718
• 
  Noora Mohammad Al-Naimi, Khaled Bashir Shaban: "The 100 Most Influential Persons in History": A Data Mining Perspective. 719-724
• 
  Alejandro Correa Bahnsen, Andres M. Gonzalez: Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring Case. 725-732
• 
  Slava Borodovsky, Saharon Rosset: A/B Testing at SweetIM: The Importance of Proper Statistical Analysis. 733-740
• 
  Sergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly: Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. 741-748
• 
  Haengju Lee, Nathan Gnanasambandam, Raj Minhas, Shi Zhao: Dynamic Loan Service Monitoring Using Segmented Hidden Markov Models. 749-754
• 
  Ching Lien, Silvia Figueira: An Analysis of Treatment Patterns: A Case Study on Carpal Tunnel Syndrome. 755-762
• 
  Viraj Phanse, Sourabh Deorah: Evaluation and Extension to the Duckworth Lewis Method: A Dual Application of Data Mining Techniques. 763-770
• 
  Yoshihisa Udagawa: An Augmented Vector Space Information Retrieval for Recovering Requirements Traceability. 771-778
• 
  Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding: Crime Forecasting Using Data Mining Techniques. 779-786

LSVA 2011: Large Scale Visual Analytics

• 
  Wei Chen, Ming Shao, Yun Fu: Clustering Based Fast Low-Rank Approximation for Large-Scale Graph. 787-792
• 
  Deying Feng, Jie Yang, Cheng Yang: Efficient Indexing for Mobile Image Retrieval. 793-798
• 
  Shuangping Huang, Lianwen Jin, Xiaoxin Wei: Online Heterogeneous Feature Fusion for Visual Recognition. 799-803
• 
  Carson Kai-Sang Leung, Fan Jiang, Pourang P. Irani: FpMapViz: A Space-Filling Visualization for Frequent Patterns. 804-811
• 
  Jun Li, Dacheng Tao: Wisdom of Crowds: Single Image Super-resolution from the Web. 812-816
• 
  Yangxi Li, Bo Geng, Chao Zhou, Chao Xu: Learning to Combine Ad-hoc Ranking Functions for Image Retrieval. 817-822
• 
  Jasper Snoek, Luciano Sbaiz, Hrishikesh Aradhye: From Videos to Places: Geolocating the World's Videos. 823-832
• 
  Supaporn Spanurattana, Tsuyoshi Murata: Visual Analysis of Bipartite Networks. 833-838
• 
  Chang-Dong Wang, Jian-Huang Lai, Dong Huang: Incremental Support Vector Clustering. 839-846
• 
  Luming Zhang, Mingli Song, Xiaoyu Deng, Jiajun Bu, Chun Chen: Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets. 847-852

SSTDM 2011: International Workshop on Spatial and Spatio-Temporal Data Mining

• 
  Yi-Cheng Chen, Chao-Ying Wu, Suh-Yin Lee: Incremental Maintenance of Topological Patterns in Spatial-Temporal Database. 853-860
• 
  Bi-Ru Dai, Meng-Yan Lin: Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations. 861-868
• 
  Ranga Raju Vatsavai: High-Resolution Urban Image Classification Using Extended Features. 869-876
• 
  Lei Sun, Yujiu Yang, Wenhuang Liu: Trended DTW Based on Piecewise Linear Approximation for Time Series Mining. 877-884
• 
  Guangquan Li, Sylvia Richardson, Lea Fortunato, Ismaïl Ahmed, Anna Hansell, Mireille Toledano, Nicky Best: Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect. 885-890
• 
  Erik Mellegârd, Simon Moritz, Mohamed Zahoor: Origin/Destination-estimation Using Cellular Network Data. 891-896
• 
  Shun Hattori: Linearly-Combined Web Sensors for Spatio-temporal Data Extraction from the Web. 897-904
• 
  Gautam S. Thakur, Pan Hui, Hamed Ketabdar, Ahmed Helmy: Spatial and Temporal Analysis of Planet Scale Vehicular Imagery Data. 905-910
• 
  Shigeru Takano, Einoshin Suzuki: New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms. 911-916

DaMNet 2011: International Workshop on Data Mining in Networks

• 
  Ana Paula Appel, Estevam Rafael Hruschka Junior: Prophet - A Link-Predictor to Learn New Rules on NELL. 917-924
• 
  Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman: Temporal Scale of Processes in Dynamic Networks. 925-932
• 
  Habiba, Tanya Y. Berger-Wolf: Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks. 933-940
• 
  Xiao He, Jing Feng, Claudia Plant: Automatically Spotting Information-Rich Nodes in Graphs. 941-948
• 
  Kai Liu, William K. Cheung, Jiming Liu: Stochastic Network Motif Detection in Social Media. 949-956
• 
  Vladimir Ouzienko, Zoran Obradovic: Imputation of Missing Links and Attributes in Longitudinal Social Surveys. 957-964
• 
  Lalith Polepeddi, Ankit Agrawal, Alok N. Choudhary: Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article. 965-968
• 
  Fergal Reid, Neil J. Hurley: Diffusion in Networks with Overlapping Community Structure. 969-978
• 
  Giulio Rossetti, Michele Berlingerio, Fosca Giannotti: Scalable Link Prediction on Multidimensional Networks. 979-986
• 
  Janne Toivola, Jaakko Hollmén: Collaborative Filtering for Coordinated Monitoring in Sensor Networks. 987-994

BioDM 2011: The Second Workshop on Biological Data Mining and Its Applications in Healthcare

• 
  Ankit Agrawal, Alok N. Choudhary: Identifying HotSpots in Lung Cancer Data Using Association Rule Mining. 995-1002
• 
  Shobeir Fakhraei, Hamid Soltanian-Zadeh, Kourosh Jafari-Khouzani, Kost V. Elisevich, Farshad Fotouhi: Confident Surgical Decision Making in Temporal Lobe Epilepsy by Heterogeneous Classifier Ensembles. 1003-1009
• 
  Célia Talma Gonçalves, Rui Camacho, Eugenio Oliveira: From Sequences to Papers: An Information Retrieval Exercise. 1010-1017
• 
  Faisal M. Khan, Qiuhua Liu: Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis. 1018-1025
• 
  Truc Viet Le, Chee Keong Kwoh, Eng Soon Teo, Kheng Hock Lee: Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions. 1026-1033
• 
  S. Seth Long, Lawrence B. Holder: Graph Based Classification of MRI Data Based on the Ventricular System. 1034-1041
• 
  Yi Mao, Yixin Chen, Gregory Hackmann, Minmin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey: Medical Data Mining for Early Deterioration Warning in General Hospital Wards. 1042-1049
• 
  Eshita Mutt, Abhijit Mitra, R. Sowdhamini: Mining Protein Sequence Databases for Remote Homologues That Can Display Considerable Domain Length Variations. 1050-1057
• 
  Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús: Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. 1058-1063
• 
  Clyde F. Phelix, Richard G. LeBaron, Dawnlee J. Roberson, Rosa E. Villanueva, Greg Villareal, Omid B. Rahimi, Sandra Siedlak, Xiongwei Zhu, George Perry: In Vivo and In Silico Evidence: Hippocampal Cholesterol Metabolism Decreases with Aging and Increases with Alzheimers Disease - Modeling Brain Aging and Disease. 1064-1070
• 
  Divya P. Syamaladevi, Singaravelu Kalaimathy, Naseer Pasha, S. Subramonian, Ramanathan Sowdhamini: A Three-Step Validation Following Genome-Wide Data Mining for Myosin Family Members Improves Search Efficiency. 1071-1074
• 
  Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu: FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset. 1075-1082

DPM 2011: Declarative Pattern Mining

• 
  Daniel Borchmann, Felix Distel: Mining of EL-GCIs. 1083-1090
• 
  Emmanuel Coquery, Saïd Jabbour, Lakhdar Sais: A Constraint Programming Approach for Enumerating Motifs in a Sequence. 1091-1097
• 
  Fabien De Marchi: CLIM: Closed Inclusion Dependency Mining in Databases. 1098-1103
• 
  Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt: Declarative Heuristic Search for Pattern Set Mining. 1104-1111
• 
  Jean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni: A Constraint-Based Language for Declarative Pattern Discovery. 1112-1119
• 
  Siegfried Nijssen, Aída Jiménez, Tias Guns: Constraint-Based Pattern Mining in Multi-relational Databases. 1120-1127

ContrastDM 2011: Contrast Data Mining and Applications

• 
  Christopher L. Carmichael, Yaroslav Hayduk, Carson Kai-Sang Leung: Visually Contrast Two Collections of Frequent Patterns. 1128-1135
• 
  Xiangtao Chen, Lijuan Lu: A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging Patterns. 1136-1140
• 
  Guozhu Dong, James Bailey: Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book. 1141-1146
• 
  Tomonobu Ozaki, Minoru Etoh: Correlation and Contrast Link Formation Patterns in a Time Evolving Graph. 1147-1154
• 
  Arnaud Soulet, Bruno Crémilleux, Marc Plantevit: Summarizing Contrasts by Recursive Pattern Mining. 1155-1162

ContrastDM 2011: Contrast Data Mining and Applications

• 
  Michel Ballings, Dries F. Benoit, Dirk Van den Poel: RFM Variables Revisited Using Quantile Regression. 1163-1169
• 
  Shinya Miyazaki, Takashi Washio, Katsutoshi Yada: Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID. 1170-1176
• 
  Daisuke Nakajima, Yuki Mitsui, Masaki Samejima, Masanori Akiyoshi: An Information Extraction Method from Different Structural Web Sites by Word Distances between a User Instantiated Label and Similar Entity. 1177-1182
• 
  Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto: Visualization of Hospital Services Using Data Mining Methods. 1183-1190
• 
  Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic: Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations. 1191-1198

PhD Forum

• 
  Jianquan Liu, Hanxiong Chen, Kazutaka Furuse, Hiroyuki Kitagawa, Jeffrey Xu Yu: On Efficient Distance-Based Similarity Search. 1199-1202
• 
  Diane Oyen: Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures. 1203-1206
• 
  Vamsi K. Potluru: Understanding and Exploiting the Connections between NMF and SVM. 1207-1210
• 
  Mansoureh Takaffoli: Community Evolution in Dynamic Social Networks - Challenges and Problems. 1211-1214
• 
  Nenad Tomasev, Dunja Mladenic: Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences. 1215-1218
• 
  Mikalai Tsytsarau, Themis Palpanas: Towards a Framework for Detecting and Managing Opinion Contradictions. 1219-1222

Demo Papers

• 
  Jeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals: BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain. 1223-1226
• 
  Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin: BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. 1227-1230
• 
  Mehdi Kargar, Aijun An: TeamExp: Top-k Team Formation in Social Networks. 1231-1234
• 
  Negar Koochakzadeh, Atieh Sarraf, Keivan Kianmehr, Jon G. Rokne, Reda Alhajj: NetDriller: A Powerful Social Network Analysis Tool. 1235-1238
• 
  Hechen Liu, Ling-Yin Wei, Yu Zheng, Markus Schneider, Wen-Chih Peng: Route Discovery from Mining Uncertain Trajectories. 1239-1242
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