Table of Contents

• Sparse Group Lasso for Regression on Land Climate VariablesSoumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly. 1-8 [doi]
• Community Dynamics and Analysis of Decadal Trends in Climate DataWilliam Hendrix, Isaac K. Tetteh, Ankit Agrawal, Fredrick H. M. Semazzi, Wei-keng Liao, Alok N. Choudhary. 9-14 [doi]
• Modeling Unreliable Data and Sensors: Using F-measure Attribute Performance with Test Samples from Low-Cost SensorsVasanth Iyer, S. Sitharama Iyengar. 15-22 [doi]
• Evaluating Hurricane Intensity Prediction Techniques in Real TimeVladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su. 23-29 [doi]
• Spatio-Temporal Mining of Core Regions: Study of Rainfall Patterns in Monsoonal IndiaKollukuduru Sravanthi, K. S. Rajan. 30-37 [doi]
• Parallel Kriging Analysis for Large Spatial DatasetsWei Zhuo, Prabhat, Christopher J. Paciorek, Cari Kaufman, Wes Bethel. 38-44 [doi]
• Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine LearningBrett W. Bader, W. Philip Kegelmeyer, Peter A. Chew. 45-52 [doi]
• Deriving Insights from National Happiness IndicesAnthony Brew, Derek Greene, Daniel Archambault, Padraig Cunningham. 53-60 [doi]
• Improving Sentiment Classification Using Feature Highlighting and Feature BaggingLin Dai, Hechun Chen, Xuemei Li. 61-66 [doi]
• STARLET: Multi-document Summarization of Service and Product Reviews with Balanced Rating DistributionsGiuseppe Di Fabbrizio, Ahmet Aker, Robert J. Gaizauskas. 67-74 [doi]
• Machine Reading for Notion-Based Sentiment MiningRoula Hobeica, Hazem M. Hajj, Wassim El-Hajj. 75-80 [doi]
• Multi-aspect Sentiment Analysis with Topic ModelsBin Lu, Myle Ott, Claire Cardie, Benjamin K. Tsou. 81-88 [doi]
• AQA: Aspect-based Opinion Question AnsweringSamaneh Moghaddam, Martin Ester. 89-96 [doi]
• Discourse Structure and SentimentLivia Polanyi, Martin van den Berg. 97-102 [doi]
• Longitudinal Sales Responses with Online ReviewsXiaojun Quan, Liu Wenyin, Wenyu Dou. 103-108 [doi]
• Fine-Grained Opinion Mining Using Conditional Random FieldsShabnam Shariaty, Samaneh Moghaddam. 109-114 [doi]
• Detecting General Opinions from Customer SurveysEvgeny A. Stepanov, Giuseppe Riccardi. 115-122 [doi]
• Mining Opinion Attributes from Texts Using Multiple Kernel LearningAleksander Wawer. 123-128 [doi]
• SES: Sentiment Elicitation System for Social Media DataKunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary. 129-136 [doi]
• Detecting Abnormal Machine Characteristics in Cloud InfrastructuresKanishka Bhaduri, Kamalika Das, Bryan L. Matthews. 137-144 [doi]
• Frequent Pairs in Data Streams: Exploiting Parallelism and SkewAndrea Campagna, Konstantin Kutzkov, Rasmus Pagh. 145-150 [doi]
• Epidemic K-Means ClusteringGiuseppe Di Fatta, Francesco Blasa, Simone Cafiero, Giancarlo Fortino. 151-158 [doi]
• A Large Scale URL Verification Pipeline Using HadoopSongtao Guo, Jianxiong Dong. 159-166 [doi]
• Latency Minimizing Tasking for Information Processing SystemsJames Horey, Brent Lagesse. 167-173 [doi]
• LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-Scale NetworksQiuhong Li, Zhihui Wang, Wei Wang 0009, Yimin Liu, Peng Wang, Tao Yu. 174-179 [doi]
• Finding the 'Needle': Locating Interesting Nodes Using the K-shortest Paths Algorithm in MapReduceChristopher McCubbin, Bryan Perozzi, Andrew Levine, Abdul-Rahman. 180-187 [doi]
• The Deployment of MML for Data Analytics over the CloudJonathan Tancer, Aparna S. Varde. 188-195 [doi]
• Temporal Distributed Learning with Heterogeneous Data Using Gaussian MixturesDean Teffer, Amanda Hutton, Joydeep Ghosh. 196-203 [doi]
• Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning ManagementYibing Chen, Lingling Zhang, Yong Shi. 204-211 [doi]
• Learning to Group Web Text Incorporating Prior InformationYu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary. 212-219 [doi]
• Meta-learning for Selecting a Multi-label Classification AlgorithmLena Chekina, Lior Rokach, Bracha Shapira. 220-227 [doi]
• Efficient Iterative Semi-supervised Classification on ManifoldMehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali-Asghar Soltani-Farani. 228-235 [doi]
• Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label LearningStephen L. France, Ahmed Abbasi. 236-243 [doi]
• Active Learning from Positive and Unlabeled DataAlireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban. 244-250 [doi]
• Twitter Trending Topic ClassificationKathy Lee, Diana Palsetia, Ramanathan Narayanan, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary. 251-258 [doi]
• Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement LearningNan Li, Naoki Abe. 259-266 [doi]
• Entity Resolution with Attribute and Connection GraphLingfeng Niu, Jianmin Wu, Yong Shi. 267-271 [doi]
• Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based ApproachesJacques-Henri Sublemontier, Lionel Martin, Guillaume Cleuziou, Matthieu Exbrayat. 272-279 [doi]
• Classification for Orange Varieties Using Near Infrared SpectroscopyWarawut Suphamitmongkol, Guangli Nie, Rong Liu, Yong Shi. 280-285 [doi]
• Parametric Characterization of Multimodal Distributions with Non-gaussian ModesAshutosh Tewari, Michael Giering, Arvind Raghunathan. 286-292 [doi]
• Kernel-Based Clustering with Automatic Cluster Number SelectionChang-Dong Wang, Jian-Huang Lai, Dong Huang. 293-299 [doi]
• A Novel Co-clustering Method with Intra-similaritiesJian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang. 300-306 [doi]
• Stream Prediction Using Representative Episode RulesHuasheng Zhu, Peng Wang, Wei Wang 0009, Baile Shi. 307-314 [doi]
• Isanette: A Common and Common Sense Knowledge Base for Opinion MiningErik Cambria, Yangqiu Song, Haixun Wang, Amir Hussain. 315-322 [doi]
• Mobile Phone Graph Evolution: Findings, Model and InterpretationSiyuan Liu, Lei Li, Christos Faloutsos, Lionel M. Ni. 323-330 [doi]
• Exploring Support Vector Machines and Random Forests to Detect Advanced Fee Fraud Activities on InternetAbiodun Modupe, Oludayo O. Olugbara, Sunday O. Ojo. 331-335 [doi]
• Retweet Modeling Using Conditional Random FieldsHuan-Kai Peng, Jiang Zhu, Dongzhen Piao, Rong Yan, Ying Zhang. 336-343 [doi]
• SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic ProcessJierui Xie, Boleslaw K. Szymanski, Xiaoming Liu. 344-349 [doi]
• Employing Team Composition Strategies for Recommending TeamsMichele Brocco, Yonata Andrelo Asikin. 350-357 [doi]
• Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication NetworksYuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu. 358-365 [doi]
• An Effective Expert Team Formation in Social Networks Based on Skill GradingFarnoush Farhadi, Maryam Sorkhi, Sattar Hashemi, Ali Hamzeh. 366-372 [doi]
• Time-Aware Ranking in Dynamic Citation NetworksRumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-de Lin, Kristina Lerman. 373-380 [doi]
• A Diffusion of Innovation-Based Closeness Measure for Network AssociationsReihaneh Rabbany Khorasgani, Osmar R. Zaïane. 381-388 [doi]
• Improving Energy Use Forecast for Campus Micro-grids Using Indirect IndicatorsSaima Aman, Yogesh Simmhan, Viktor K. Prasanna. 389-397 [doi]
• FAARM: Frequent Association Action Rules Mining Using FP-TreeDjellel Eddine Difallah, Ryan G. Benton, Vijay Raghavan, Tom Johnsten. 398-404 [doi]
• Certainty-Enhanced Active Learning for Improving Imbalanced Data ClassificationJui Hsi Fu, Sing-Ling Lee. 405-412 [doi]
• Automatic Cleaning and Linking of Historical Census Data Using Household InformationZhichun Fu, Peter Christen, Mac Boot. 413-420 [doi]
• Mining Infrequent Causal Associations in Electronic Health DatabasesYanqing Ji, Hao Ying, John Tran, Peter Dews, Ayman Mansour, R. Michael Massanari. 421-428 [doi]
• A Novel Knowledge-Based Twin Support Vector MachineXu Chan Ju, Ying-Jie Tian. 429-433 [doi]
• Semi-supervised Failure Prediction for Oil Production WellsYintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi S. Raghavendra, Oluwafemi Balogun, Lanre Olabinjo. 434-441 [doi]
• Automatic Training Data Cleaning for Text ClassificationHassan H. Malik, Vikas S. Bhardwaj. 442-449 [doi]
• Revealing Cluster Formation over Huge Volatile Robotic DataNikos Mitsou, Irene Ntoutsi, Dirk Wollherr, Costas S. Tzafestas, Hans-Peter Kriegel. 450-457 [doi]
• Domain-Driven Data Mining in Human Resource Management: A ReviewFranca Piazza, Stefan Strohmeier. 458-465 [doi]
• CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and ProfitabilityThomas Piton, Julien Blanchard, Fabrice Guillet. 466-473 [doi]
• Domain-Specific Adaptation of a Partial Least Squares Regression Model for Loan Defaults PredictionBalaji Vasan Srinivasan, Nathan Gnanasambandam, Shi Zhao, Raj Minhas. 474-479 [doi]
• Agent Assignment for Process Management: Competency-Driven Dynamic Resource Management MethodologyRamzan Talib, Bernhard Volz, Stefan Jablonski. 480-487 [doi]
• Relational Fuzzy Clustering with Multiple KernelsNaouel Baili, Hichem Frigui. 488-495 [doi]
• Cross-Domain Recommender SystemsPaolo Cremonesi, Antonio Tripodi, Roberto Turrin. 496-503 [doi]
• Approximate Record Matching Using Hash GramsMohammed Gollapalli, Xue Li, Ian Wood, Guido Governatori. 504-511 [doi]
• Multitask Multiclass Support Vector MachinesYou Ji, Shiliang Sun. 512-518 [doi]
• Indexing Faces in Broadcast News Video ArchivesDuy-Dinh Le, Shin'ichi Satoh. 519-526 [doi]
• Greedy Regularized Least-Squares for Multi-task LearningPekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski. 527-533 [doi]
• Using Modified Multivariate Bag-of-Words Models to Classify Physiological DataPatricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler. 534-539 [doi]
• Transportability of Causal and Statistical Relations: A Formal ApproachJudea Pearl, Elias Bareinboim. 540-547 [doi]
• A Tag-Based Hybrid Music Recommendation System Using Semantic Relations and Multi-domain InformationIpek Tatli, Aysenur Birturk. 548-554 [doi]
• Unifying Change - Towards a Framework for Detecting the UnexpectedIris Adä, Michael R. Berthold. 555-559 [doi]
• Change Mining of Customer Profiles Based on Transactional DataEdward Tersoo Apeh, Bogdan Gabrys. 560-567 [doi]
• Detecting Mean Changes in Data StreamsMurad Badarna, Ran Wolff. 568-572 [doi]
• What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor DataJorn Bakker, Mykola Pechenizkiy, Natalia Sidorova. 573-580 [doi]
• Interpretable, Online Soft-Sensors for Process ControlMark Eastwood, Petr Kadlec. 581-587 [doi]
• Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts DetectionMohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy. 588-595 [doi]
• Classification in Presence of Drift and LatencyGeorg Krempl, Vera Hofer. 596-603 [doi]
• Drift Detection Using Uncertainty Distribution DivergencePatrick Lindstrom, Brian Mac Namee, Sarah Jane Delany. 604-608 [doi]
• Interpretability of Sudden Concept Drift in Medical Informatics DomainGregor Stiglic, Peter Kokol. 609-613 [doi]
• An Application of Differentially Private Linear Mixed ModelingJohn M. Abowd, Matthew J. Schneider. 614-619 [doi]
• enList: Automatically Simplifying Privacy PoliciesRajesh Bejugam, Kristen LeFevre. 620-627 [doi]
• Privacy Preserving GWAS Data SharingStephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler. 628-635 [doi]
• Data Mining and Privacy of Personal Behaviour Types in Smart GridGeorgios Kalogridis, Stojan Z. Denic. 636-642 [doi]
• Fairness-aware Learning through Regularization ApproachToshihiro Kamishima, Shotaro Akaho, Jun Sakuma. 643-650 [doi]
• Applicability of Regression-Tree-Based Synthetic Data Methods for Business DataJoo-Ho Lee, In-Yong Kim, Christine M. O'Keefe. 651-658 [doi]
• Preventing Identity Disclosure in HypergraphsYidong Li, Hong Shen. 659-665 [doi]
• Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity RequirementsJinfei Liu, Jun Luo, Joshua Zhexue Huang. 666-673 [doi]
• Privacy Preserving Outlier Detection Using Locality Sensitive HashingNisarg Raval, Madhuchand Rushi Pillutla, Piyush Bansal, Kannan Srinathan, C. V. Jawahar. 674-681 [doi]
• Implementing Camshift on a Mobile Robot for Person Tracking and PursuitSomar Boubou, Asuki Kouno, Einoshin Suzuki. 682-688 [doi]
• Lifted-Rollout for Approximate Policy Iteration of Markov Decision ProcessWang-Zhou Dai, Yang Yu, Zhi-Hua Zhou. 689-696 [doi]
• Adaptive Windowing for Online Learning from Multiple Inter-related Data StreamsElena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama. 697-704 [doi]
• Characterizing Anomalous Behaviors and Revising Robotic ControllersDavid Meunier, Michèle Sebag, Shin Ando. 705-710 [doi]
• Integrating Collaborative Filtering and Search-Based Techniques for Personalized Online Product RecommendationNoraswaliza Abdullah, Yue Xu, Shlomo Geva. 711-718 [doi]
• "The 100 Most Influential Persons in History": A Data Mining PerspectiveNoora Mohammad Al-Naimi, Khaled Bashir Shaban. 719-724 [doi]
• Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring CaseAlejandro Correa Bahnsen, Andres M. Gonzalez. 725-732 [doi]
• A/B Testing at SweetIM: The Importance of Proper Statistical AnalysisSlava Borodovsky, Saharon Rosset. 733-740 [doi]
• Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging PlatformSergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly. 741-748 [doi]
• Dynamic Loan Service Monitoring Using Segmented Hidden Markov ModelsHaengju Lee, Nathan Gnanasambandam, Raj Minhas, Shi Zhao. 749-754 [doi]
• An Analysis of Treatment Patterns: A Case Study on Carpal Tunnel SyndromeChing Lien, Silvia Figueira. 755-762 [doi]
• Evaluation and Extension to the Duckworth Lewis Method: A Dual Application of Data Mining TechniquesViraj Phanse, Sourabh Deorah. 763-770 [doi]
• An Augmented Vector Space Information Retrieval for Recovering Requirements TraceabilityYoshihisa Udagawa. 771-778 [doi]
• Crime Forecasting Using Data Mining TechniquesChung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding 0003. 779-786 [doi]
• Clustering Based Fast Low-Rank Approximation for Large-Scale GraphWei Chen, Ming Shao, Yun Fu. 787-792 [doi]
• Efficient Indexing for Mobile Image RetrievalDeying Feng, Jie Yang 0002, Cheng Yang. 793-798 [doi]
• Online Heterogeneous Feature Fusion for Visual RecognitionShuangping Huang, Lianwen Jin, Xiaoxin Wei. 799-803 [doi]
• FpMapViz: A Space-Filling Visualization for Frequent PatternsCarson Kai-Sang Leung, Fan Jiang, Pourang P. Irani. 804-811 [doi]
• Wisdom of Crowds: Single Image Super-resolution from the WebJun Li 0010, Dacheng Tao. 812-816 [doi]
• Learning to Combine Ad-hoc Ranking Functions for Image RetrievalYangxi Li, Bo Geng, Chao Zhou, Chao Xu. 817-822 [doi]
• From Videos to Places: Geolocating the World's VideosJasper Snoek, Luciano Sbaiz, Hrishikesh Aradhye. 823-832 [doi]
• Visual Analysis of Bipartite NetworksSupaporn Spanurattana, Tsuyoshi Murata. 833-838 [doi]
• Incremental Support Vector ClusteringChang-Dong Wang, Jian-Huang Lai, Dong Huang. 839-846 [doi]
• Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant GraphletsLuming Zhang, Mingli Song, Xiaoyu Deng, Jiajun Bu, Chun Chen. 847-852 [doi]
• Incremental Maintenance of Topological Patterns in Spatial-Temporal DatabaseYi-Cheng Chen, Chao-Ying Wu, Suh-Yin Lee. 853-860 [doi]
• Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locationsBi-Ru Dai, Meng-Yan Lin. 861-868 [doi]
• High-Resolution Urban Image Classification Using Extended FeaturesRanga Raju Vatsavai. 869-876 [doi]
• Trended DTW Based on Piecewise Linear Approximation for Time Series MiningLei Sun, Yujiu Yang, Wenhuang Liu. 877-884 [doi]
• Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetectGuangquan Li, Sylvia Richardson, Lea Fortunato, Ismaïl Ahmed, Anna Hansell, Mireille Toledano, Nicky Best. 885-890 [doi]
• Origin/Destination-estimation Using Cellular Network DataErik Mellegârd, Simon Moritz, Mohamed Zahoor. 891-896 [doi]
• Linearly-Combined Web Sensors for Spatio-temporal Data Extraction from the WebShun Hattori. 897-904 [doi]
• Spatial and Temporal Analysis of Planet Scale Vehicular Imagery DataGautam S. Thakur, Pan Hui, Hamed Ketabdar, Ahmed Helmy. 905-910 [doi]
• New Object Detection for On-board Robot Vision by Lifting Complex Wavelet TransformsShigeru Takano, Einoshin Suzuki. 911-916 [doi]
• Prophet - A Link-Predictor to Learn New Rules on NELLAna Paula Appel, Estevam Rafael Hruschka Junior. 917-924 [doi]
• Temporal Scale of Processes in Dynamic NetworksRajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman. 925-932 [doi]
• Working for Influence: Effect of Network Density and Modularity on Diffusion in NetworksHabiba, Tanya Y. Berger-Wolf. 933-940 [doi]
• Automatically Spotting Information-Rich Nodes in GraphsXiao He, Jing Feng, Claudia Plant. 941-948 [doi]
• Stochastic Network Motif Detection in Social MediaKai Liu, William K. Cheung, Jiming Liu. 949-956 [doi]
• Imputation of Missing Links and Attributes in Longitudinal Social SurveysVladimir Ouzienko, Zoran Obradovic. 957-964 [doi]
• Poll: A Citation Text Based System for Identifying High-Impact Contributions of an ArticleLalith Polepeddi, Ankit Agrawal, Alok N. Choudhary. 965-968 [doi]
• Diffusion in Networks with Overlapping Community StructureFergal Reid, Neil J. Hurley. 969-978 [doi]
• Scalable Link Prediction on Multidimensional NetworksGiulio Rossetti, Michele Berlingerio, Fosca Giannotti. 979-986 [doi]
• Collaborative Filtering for Coordinated Monitoring in Sensor NetworksJanne Toivola, Jaakko Hollmén. 987-994 [doi]
• Identifying HotSpots in Lung Cancer Data Using Association Rule MiningAnkit Agrawal, Alok N. Choudhary. 995-1002 [doi]
• Confident Surgical Decision Making in Temporal Lobe Epilepsy by Heterogeneous Classifier EnsemblesShobeir Fakhraei, Hamid Soltanian-Zadeh, Kourosh Jafari-Khouzani, Kost V. Elisevich, Farshad Fotouhi. 1003-1009 [doi]
• From Sequences to Papers: An Information Retrieval ExerciseCélia Talma Gonçalves, Rui Camacho, Eugenio Oliveira. 1010-1017 [doi]
• Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical PrognosisFaisal M. Khan, Qiuhua Liu. 1018-1025 [doi]
• Analyzing Trends of Hospital Length of Stay Using Phase-Type DistributionsTruc Viet Le, Chee Keong Kwoh, Eng Soon Teo, Kheng Hock Lee. 1026-1033 [doi]
• Graph Based Classification of MRI Data Based on the Ventricular SystemS. Seth Long, Lawrence B. Holder. 1034-1041 [doi]
• Medical Data Mining for Early Deterioration Warning in General Hospital WardsYi Mao, Yixin Chen, Gregory Hackmann, Minmin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey. 1042-1049 [doi]
• Mining Protein Sequence Databases for Remote Homologues That Can Display Considerable Domain Length VariationsEshita Mutt, Abhijit Mitra, R. Sowdhamini. 1050-1057 [doi]
• Brain Tumor Pathological Area Delimitation through Non-negative Matrix FactorizationSandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús. 1058-1063 [doi]
• In Vivo and In Silico Evidence: Hippocampal Cholesterol Metabolism Decreases with Aging and Increases with Alzheimers Disease - Modeling Brain Aging and DiseaseClyde F. Phelix, Richard G. LeBaron, Dawnlee J. Roberson, Rosa E. Villanueva, Greg Villareal, Omid B. Rahimi, Sandra Siedlak, Xiongwei Zhu, George Perry. 1064-1070 [doi]
• A Three-Step Validation Following Genome-Wide Data Mining for Myosin Family Members Improves Search EfficiencyDivya P. Syamaladevi, Singaravelu Kalaimathy, Naseer Pasha, S. Subramonian, Ramanathan Sowdhamini. 1071-1074 [doi]
• FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray DatasetMiao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu. 1075-1082 [doi]
• Mining of EL-GCIsDaniel Borchmann, Felix Distel. 1083-1090 [doi]
• A Constraint Programming Approach for Enumerating Motifs in a SequenceEmmanuel Coquery, Saïd Jabbour, Lakhdar Sais. 1091-1097 [doi]
• CLIM: Closed Inclusion Dependency Mining in DatabasesFabien De Marchi. 1098-1103 [doi]
• Declarative Heuristic Search for Pattern Set MiningTias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt. 1104-1111 [doi]
• A Constraint-Based Language for Declarative Pattern DiscoveryJean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni. 1112-1119 [doi]
• Constraint-Based Pattern Mining in Multi-relational DatabasesSiegfried Nijssen, Aída Jiménez, Tias Guns. 1120-1127 [doi]
• Visually Contrast Two Collections of Frequent PatternsChristopher L. Carmichael, Yaroslav Hayduk, Carson Kai-Sang Leung. 1128-1135 [doi]
• A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging PatternsXiangtao Chen, Lijuan Lu. 1136-1140 [doi]
• Overview of Contrast Data Mining as a Field and Preview of an Upcoming BookGuozhu Dong, James Bailey. 1141-1146 [doi]
• Correlation and Contrast Link Formation Patterns in a Time Evolving GraphTomonobu Ozaki, Minoru Etoh. 1147-1154 [doi]
• Summarizing Contrasts by Recursive Pattern MiningArnaud Soulet, Bruno Crémilleux, Marc Plantevit. 1155-1162 [doi]
• RFM Variables Revisited Using Quantile RegressionMichel Ballings, Dries F. Benoit, Dirk Van den Poel. 1163-1169 [doi]
• Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFIDShinya Miyazaki, Takashi Washio, Katsutoshi Yada. 1170-1176 [doi]
• An Information Extraction Method from Different Structural Web Sites by Word Distances between a User Instantiated Label and Similar EntityDaisuke Nakajima, Yuki Mitsui, Masaki Samejima, Masanori Akiyoshi. 1177-1182 [doi]
• Visualization of Hospital Services Using Data Mining MethodsShusaku Tsumoto, Shoji Hirano, Yuko Tsumoto. 1183-1190 [doi]
• Estimating Post-Event Seller Productivity Profiles in Dynamic Sales OrganizationsKush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic. 1191-1198 [doi]
• On Efficient Distance-Based Similarity SearchJianquan Liu, Hanxiong Chen, Kazutaka Furuse, Hiroyuki Kitagawa, Jeffrey Xu Yu. 1199-1202 [doi]
• Active Learning of Transfer Relationships for Multiple Related Bayesian Network StructuresDiane Oyen. 1203-1206 [doi]
• Understanding and Exploiting the Connections between NMF and SVMVamsi K. Potluru. 1207-1210 [doi]
• Community Evolution in Dynamic Social Networks - Challenges and ProblemsMansoureh Takaffoli. 1211-1214 [doi]
• Nearest Neighbor Voting in High-Dimensional Data: Learning from Past OccurrencesNenad Tomasev, Dunja Mladenic. 1215-1218 [doi]
• Towards a Framework for Detecting and Managing Opinion ContradictionsMikalai Tsytsarau, Themis Palpanas. 1219-1222 [doi]
• BioGraph: Knowledge Discovery and Exploration in the Biomedical DomainJeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals. 1223-1226 [doi]
• BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social DataHsun-Ping Hsieh, Cheng-Te Li, Shou-de Lin. 1227-1230 [doi]
• TeamExp: Top-k Team Formation in Social NetworksMehdi Kargar, Aijun An. 1231-1234 [doi]
• NetDriller: A Powerful Social Network Analysis ToolNegar Koochakzadeh, Atieh Sarraf, Keivan Kianmehr, Jon G. Rokne, Reda Alhajj. 1235-1238 [doi]
• Route Discovery from Mining Uncertain TrajectoriesHechen Liu, Ling-Yin Wei, Yu Zheng, Markus Schneider 0001, Wen-Chih Peng. 1239-1242 [doi]
• AskUs: An Opinion Search EngineShamita Pisal, Japinder Singh, Magdalini Eirinaki. 1243-1246 [doi]
• SentiCorr: Multilingual Sentiment Analysis of Personal CorrespondenceErik Tromp, Mykola Pechenizkiy. 1247-1250 [doi]