Table of Contents

• SISC: A Text Classification Approach Using Semi Supervised Subspace ClusteringMohammad Salim Ahmed, Latifur Khan. 1-6 [doi]
• High Quality True-Positive Prediction for Fiscal Fraud DetectionStefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani. 7-12 [doi]
• Building Classifiers with Independency ConstraintsToon Calders, Faisal Kamiran, Mykola Pechenizkiy. 13-18 [doi]
• Discovering Domain Specific Concepts within User-Generated TaxonomiesJonathan Klinginsmith, Malika Mahoui, Yuqing Wu, Josette F. Jones. 19-24 [doi]
• A Game Theoretical Model for Adversarial LearningWei Liu, Sanjay Chawla. 25-30 [doi]
• Discovery of Quantitative Sequential Patterns from Event SequencesFumiya Nakagaito, Tomonobu Ozaki, Takenao Ohkawa. 31-36 [doi]
• Information Extraction for Clinical Data Mining: A Mammography Case StudyHoussam Nassif, Ryan Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page. 37-42 [doi]
• A New Minimally Supervised Learning Method for Semantic Term Classification - Experimental Results on Classifying Ratable Aspects Discussed in Customer ReviewsThao Pham Thanh Nguyen, Takahiro Hayashi, Rikio Onai, Yuhei Nishioka, Takamasa Takenaka, Masaya Mori. 43-50 [doi]
• A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical DomainYakub Sebastian, Brian Chung Shiong Loh, Patrick Hang Hui Then. 51-57 [doi]
• Weighted Frequent Subgraph Mining in Weighted Graph DatabasesMasaki Shinoda, Tomonobu Ozaki, Takenao Ohkawa. 58-63 [doi]
• Detecting and Interpreting Variable Interactions in Observational Ornithology DataDaria Sorokina, Rich Caruana, Mirek Riedewald, Wesley M. Hochachka, Steve Kelling. 64-69 [doi]
• Tree-Based Approach to Missing Data ImputationPeerapon Vateekul, Kanoksri Sarinnapakorn. 70-75 [doi]
• Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance LearningShuo Wang, Xin Yao. 76-81 [doi]
• Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution DataYanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao. 82-87 [doi]
• Integrating Knowledge in Search of Biologically Relevant GenesZheng Zhao, Shashvata Sharma, Nitin Agarwal, Huan Liu, Jiangxin Wang, Yung Chang. 88-93 [doi]
• Towards Context Aware Food Sales PredictionIndre Zliobaite, Jorn Bakker, Mykola Pechenizkiy. 94-99 [doi]
• Privacy Preserving Classification with Emerging PatternsPiotr Andruszkiewicz. 100-105 [doi]
• Efficient Anonymizations with Enhanced UtilityJacob Goldberger, Tamir Tassa. 106-113 [doi]
• A Practical Differentially Private Random Decision Tree ClassifierGeetha Jagannathan, Krishnan Pillaipakkamnatt, Rebecca N. Wright. 114-121 [doi]
• A Differentially Private Graph EstimatorDarakhshan J. Mir, Rebecca N. Wright. 122-129 [doi]
• An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data MinersMichal Sramka, Reihaneh Safavi-Naini, Jörg Denzinger. 130-137 [doi]
• Differential Privacy for Clinical Trial Data: Preliminary EvaluationsDuy Vu, Aleksandra Slavkovic. 138-143 [doi]
• Video2Text: Learning to Annotate Video ContentHrishikesh Aradhye, George Toderici, Jay Yagnik. 144-151 [doi]
• Automatic Image Annotations by Mining Web Image DataGuiguang Ding, Jianmin Wang, Na Xu, Lu Zhang 0014. 152-157 [doi]
• A Study of Language Model for Image RetrievalBo Geng, Linjun Yang, Chao Xu. 158-163 [doi]
• MSRA-MM 2.0: A Large-Scale Web Multimedia DatasetHao Li, Meng Wang, Xian-Sheng Hua. 164-169 [doi]
• Localized Content Based Image Retrieval with Self-Taught Multiple Instance LearningQifeng Qiao, Peter A. Beling. 170-175 [doi]
• Mining Event Definitions from Queries for Video Retrieval on the InternetKimiaki Shirahama, Chieri Sugihara, Kana Matsumura, Yuta Matsuoka, Kuniaki Uehara. 176-183 [doi]
• Cross-Domain Web Image AnnotationSi Si, Dacheng Tao, Kwok Ping Chan. 184-189 [doi]
• TubeTagger - YouTube-based Concept DetectionAdrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel. 190-195 [doi]
• Semantic Linking between Video Ads and Web Services with Progressive SearchBo Wang, Jinqiao Wang, Shi Chen, Ling-Yu Duan, Hanqing Lu. 196-201 [doi]
• Mining Personal Image Collection for Social Group SuggestionJie Yu, Xin Jin, Jiawei Han, Jiebo Luo. 202-207 [doi]
• Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological DataDima Alberg, Mark Last, Roni Neuman, Avi Sharon. 208-213 [doi]
• Data Mining Geophysical Content from Satellites and Global Climate ModelsDavid Erickson, Jamison Daniel, Melissa Allen, Auroop Ganguly, Forrest Hoffman, Steven Pawson, Lesley Ott, Eric Neilson. 214-216 [doi]
• Understanding Climate Change Patterns with Multivariate GeovisualizationHai Jin, Diansheng Guo. 217-222 [doi]
• Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in ClimateShih-Chieh Kao, Auroop R. Ganguly, Karsten Steinhaeuser. 223-230 [doi]
• A Distributed Computing Infrastructure for the Evaluation of Climate Models Using NASA Observational DataChris Mattmann, Daniel J. Crichton, Amy Braverman, Dean Williams, Michael Gunson, David Woollard, Sean C. Kelly, Michael Cayanan. 231-232 [doi]
• Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble DataKristin Potter, Andrew Wilson, Peer-Timo Bremer, Dean Williams, Charles Doutriaux, Valerio Pascucci, Chris R. Johnson. 233-240 [doi]
• Uncertainty Quantification in the Presence of Limited Climate Model Data with DiscontinuitiesKhachik Sargsyan, Cosmin Safta, Bert J. Debusschere, Habib N. Najm. 241-247 [doi]
• Change Detection in Climate Data over the Iberian PeninsulaRaquel Sebastião, Pedro Pereira Rodrigues, João Gama. 248-253 [doi]
• The Flexible Climate Data Analysis Tools (CDAT) for Multi-model Climate Simulation DataDean N. Williams, Charles M. Doutriaux, Robert S. Drach, Renata B. McCoy. 254-261 [doi]
• Link Prediction on Evolving Data Using Matrix and Tensor FactorizationsEvrim Acar, Daniel M. Dunlavy, Tamara G. Kolda. 262-269 [doi]
• SIMPLE: A Strategic Information Mining Platform for Licensing and ExecutionYing Chen, W. Scott Spangler, Jeffrey T. Kreulen, Stephen Boyer, Thomas D. Griffin, Alfredo Alba, Amit Behal, Bin He, Linda Kato, Ana Lelescu, Cheryl A. Kieliszewski, Xian Wu, Li Zhang. 270-275 [doi]
• HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern HardwareTianyuan Chen, Lei Chang, Jianqing Ma, Wei Zhang, Feng Gao. 276-281 [doi]
• Why Naive Ensembles Do Not Work in Cloud ComputingWenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu. 282-289 [doi]
• EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large GraphsB. Aditya Prakash, Mukund Seshadri, Ashwin Sridharan, Sridhar Machiraju, Christos Faloutsos. 290-295 [doi]
• Toolkit-Based High-Performance Data Mining of Large Data on MapReduce ClustersDennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel. 296-301 [doi]
• Scalable Attribute-Value Extraction from Semi-structured TextYuk Wah Wong, Dominic Widdows, Tom Lokovic, Kamal Nigam. 302-307 [doi]
• Estimating the Parameters of Randomly Interleaved Markov ModelsDaniel Gillblad, Rebecca Steinert, Diogo R. Ferreira. 308-313 [doi]
• Sparse Least-Squares Methods in the Parallel Machine Learning (PML) FrameworkRamesh Natarajan, Vikas Sindhwani, Shirish Tatikonda. 314-319 [doi]
• Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label DataPeerapon Vateekul, Miroslav Kubat. 320-325 [doi]
• Greedy is not Enough: An Efficient Batch Mode Active Learning AlgorithmZuobing Xu, Christopher Hogan, Robert Bauer. 326-331 [doi]
• Efficient Dense Structure Mining Using MapReduceShengqi Yang, Bai Wang, Haizhou Zhao, Bin Wu. 332-337 [doi]
• Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original DatabasesJia-Ching Ying, Vincent S. Tseng, Philip S. Yu. 338-343 [doi]
• Compressed Spectral ClusteringBin Zhao, Changshui Zhang. 344-349 [doi]
• Mining of Attribute Interactions Using Information Theoretic MetricsPritam Chanda, Young-Rae Cho, Aidong Zhang, Murali Ramanathan. 350-355 [doi]
• Kernel K-means Based Framework for Aggregate Outputs ClassificationShuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang. 356-361 [doi]
• GLSVM: Integrating Structured Feature Selection and Large Margin ClassificationHongliang Fei, Brian Quanz, Jun Huan. 362-367 [doi]
• An Effective Network Partitioning Algorithm Based on Two-Point Diffusing StrategyChengying Mao. 368-373 [doi]
• Nonsmooth Bilevel Programming for Hyperparameter SelectionGregory M. Moore, Charles Bergeron, Kristin P. Bennett. 374-381 [doi]
• A New Measure of Feature Selection Algorithms StabilityJana Novovicová, Petr Somol, Pavel Pudil. 382-387 [doi]
• Improved Multi Label Classification in Hierarchical TaxonomiesKunal Punera, Suju Rajan. 388-393 [doi]
• Probabilistic Labeled Semi-supervised SVMMingjie Qian, Feiping Nie, Changshui Zhang. 394-399 [doi]
• Feature Selection for Maximizing the Area Under the ROC CurveRui Wang, Ke Tang. 400-405 [doi]
• Multiple Instance Transfer LearningDan Zhang, Luo Si. 406-411 [doi]
• Detecting Similarity of Transferring Datasets Based on Features of Classification RulesHidenao Abe, Shusaku Tsumoto. 412-415 [doi]
• Transferred Feature SelectionWei Bi, Yuan Shi, Zhen-zhong Lan. 416-421 [doi]
• Set-Based Boosting for Instance-Level TransferEric Eaton, Marie desJardins. 422-428 [doi]
• Knowledge Transfer among Heterogeneous Information NetworksEvan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang. 429-434 [doi]
• Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic KnowledgePu Wang, Carlotta Domeniconi. 435-440 [doi]
• Knowledge Transformation by Cross-Domain Belief PropagationFei Wang, Tao Li. 441-446 [doi]
• Determining the Training Window for Small Sample Size Classification with Concept DriftIndre, Ludmila I. Kuncheva. 447-452 [doi]
• Pattern Mining over Star Schemas in the Onto4AR FrameworkCláudia Antunes. 453-458 [doi]
• Document Clustering Using Semantic Kernels Based on Term-Term CorrelationsAhmed K. Farahat, Mohamed S. Kamel. 459-464 [doi]
• Semantic-Rich Markov Models for Web PrefetchingNizar R. Mabroukeh, Christie I. Ezeife. 465-470 [doi]
• Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge ExtractionAmir Hossein Razavi, Stan Matwin, Diana Inkpen, Alexandre Kouznetsov. 471-476 [doi]
• A WordNet-Based Semantic Model for Enhancing Text ClusteringShady Shehata. 477-482 [doi]
• A Data Mining Method to Extract and Rank Papers Describing Coexpression Predicates SemanticallyChengcui Zhang, Richa Tiwari, Wei-bang Chen. 483-488 [doi]
• LNBC: A Link-Based Naive Bayes ClassifierBahareh Bina, Oliver Schulte, Hassan Khosravi. 489-494 [doi]
• TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text DocumentsHaimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol Kargupta, Kirk D. Borne, Codrina Lauth, Florian Holz, Gerhard Heyer. 495-500 [doi]
• Mining Multiple Satellite Sensor Data Using Collaborative ClusteringGermain Forestier, Cédric Wemmert, Pierre Gançarski, Jordi Inglada. 501-506 [doi]
• Feature Selection with High-Dimensional Imbalanced DataJason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald. 507-514 [doi]
• Theoretically Optimal Distributed Anomaly DetectionAleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava. 515-520 [doi]
• Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database AnalysisXinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel. 521-526 [doi]
• Frequent Pattern Discovery from a Single Graph with Quantitative ItemsetsYuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa. 527-532 [doi]
• Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured DatabasesTomonobu Ozaki, Takenao Ohkawa. 533-538 [doi]
• Bucket Learning: Improving Model Quality through Enhancing Local PatternsGuangzhi Qu, Hui Wu. 539-544 [doi]
• Improving Similarity Join Algorithms Using Fuzzy Clustering TechniqueLisa Tan, Farshad Fotouhi, William I. Grosky, Horia F. Pop, Noureddine Mouaddib. 545-550 [doi]
• Mining Data from Multiple Software Development ProjectsHuanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya. 551-557 [doi]
• Mining for Core Patterns in Stock Market DataJianfei Wu, Anne Denton, Omar Elariss, Dianxiang Xu. 558-563 [doi]
• Spatio-temporal Multi-dimensional Relational Framework TreesMatthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern. 564-570 [doi]
• Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions Using Sensor NetworksGuido Cervone, Anthony Stefanidis, Pasquale Franzese, Peggy Agouris. 571-576 [doi]
• Multi-granularity Visualization of Trajectory Clusters Using Sub-trajectory ClusteringCheng Chang, Baoyao Zhou. 577-582 [doi]
• Deriving Low-Level Steering Behaviors from Trajectory DataArie Croitoru. 583-590 [doi]
• Greedy Optimization for Contiguity-Constrained Hierarchical ClusteringDiansheng Guo. 591-596 [doi]
• Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian ProcessesGoo Jun, Ranga Raju Vatsavai, Joydeep Ghosh. 597-603 [doi]
• FARM : Feature-Assisted Aggregate Route Mining in Trajectory DataShrikant Kashyap, Sujoy Roy, Mong-Li Lee, Wynne Hsu. 604-609 [doi]
• K-BestMatch Reconstruction and Comparison of Trajectory DataMirco Nanni, Roberto Trasarti. 610-615 [doi]
• Analyzing Abnormal Events from Spatio-temporal TrajectoriesDhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong-Li Lee, Mohan S. Kankanhalli. 616-621 [doi]
• Multilayer Scene Similarity AssessmentAnthony Stefanidis, Caixia Wang, Lu Xu, Kevin M. Curtin. 622-629 [doi]
• Spatiotemporal Relational Random ForestsTimothy A. Supinie, Amy McGovern, John Williams, Jennifer Abernathy. 630-635 [doi]
• Accurate Discovery of Valid Convoys from Moving Object TrajectoriesHyunjin Yoon, Cyrus Shahabi. 636-643 [doi]
• A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation PredictionZubin Abraham, Pang-Ning Tan. 644-649 [doi]
• Visualization and Classification of Power System Frequency Data StreamsJason N. Bank, Olufemi A. Omitaomu, Steven J. Fernandez, Yilu Liu. 650-655 [doi]
• Information Services and Middleware for the Coastal Sensor WebSurya S. Durbha, Roger L. King, Santhosh K. Amanchi, Shruthi Bheemireddy, Nicolas H. Younan. 656-661 [doi]
• Enhancing the DBSCAN and Agglomerative Clustering Algorithms to Solve Network Planning ProblemLamia Fattouh Ibrahim, Weam M. Minshawi, Isra Yosef Ekkab, Nehal Mahmoud Al-Jurf, Afnan Salem Babrahim, Samar Faisl Al-Halees. 662-667 [doi]
• Fast Visual Trajectory Analysis Using Spatial Bayesian NetworksThomas Liebig, Christine Körner, Michael May. 668-673 [doi]