Table of Contents

• Calculating latent demand in the long tailChris Anderson. 1 [doi]
• From mining the web to inventing the new sciences underlying the internetUsama M. Fayyad. 2-3 [doi]
• Challenges in mining social network data: processes, privacy, and paradoxesJon M. Kleinberg. 4-5 [doi]
• Efficient and effective explanation of change in hierarchical summariesDeepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava. 6-15 [doi]
• Estimating rates of rare events at multiple resolutionsDeepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian. 16-25 [doi]
• Predictive discrete latent factor models for large scale dyadic dataDeepak Agarwal, Srujana Merugu. 26-35 [doi]
• On string classification in data streamsCharu C. Aggarwal, Philip S. Yu. 36-45 [doi]
• Xproj: a framework for projected structural clustering of xml documentsCharu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki. 46-55 [doi]
• Show me the money!: deriving the pricing power of product features by mining consumer reviewsNikolay Archak, Anindya Ghose, Panagiotis G. Ipeirotis. 56-65 [doi]
• Temporal causal modeling with graphical granger methodsAndrew Arnold, Yan Liu, Naoki Abe. 66-75 [doi]
• Extracting semantic relations from query logsRicardo A. Baeza-Yates, Alessandro Tiberi. 76-85 [doi]
• Real-time ranking with concept drift using expert adviceHila Becker, Marta Arias. 86-94 [doi]
• Modeling relationships at multiple scales to improve accuracy of large recommender systemsRobert M. Bell, Yehuda Koren, Chris Volinsky. 95-104 [doi]
• Content-based document routing and index partitioning for scalable similarity-based searches in a large corpusDeepavali Bhagwat, Kave Eshghi, Pankaj Mehra. 105-112 [doi]
• Support feature machine for classification of abnormal brain activityWanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C. Sachdeo. 113-122 [doi]
• Nonlinear adaptive distance metric learning for clusteringJianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu. 123-132 [doi]
• Density-based clustering for real-time stream dataYixin Chen, Li Tu. 133-142 [doi]
• Cross-language information retrieval using PARAFAC2Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali. 143-152 [doi]
• Evolutionary spectral clustering by incorporating temporal smoothnessYun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng. 153-162 [doi]
• Structural and temporal analysis of the blogosphere through community factorizationYun Chi, Shenghuo Zhu, Xiaodan Song, Jun ichi Tatemura, Belle L. Tseng. 163-172 [doi]
• Discovering the hidden structure of house prices with a non-parametric latent manifold modelSumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun. 173-182 [doi]
• Stochastic processes and temporal data miningPaul Cotofrei, Kilian Stoffel. 183-190 [doi]
• Exploiting underrepresented query aspects for automatic query expansionDaniel Crabtree, Peter Andreae, Xiaoying Gao. 191-200 [doi]
• Canonicalization of database records using adaptive similarity measuresAron Culotta, Michael L. Wick, Robert Hall, Matthew Marzilli, Andrew McCallum. 201-209 [doi]
• Co-clustering based classification for out-of-domain documentsWenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu. 210-219 [doi]
• Detecting anomalous records in categorical datasetsKaustav Das, Jeff G. Schneider. 220-229 [doi]
• Feature selection methods for text classificationAnirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney. 230-239 [doi]
• Efficient incremental constrained clusteringIan Davidson, S. S. Ravi, Martin Ester. 240-249 [doi]
• A framework for simultaneous co-clustering and learning from complex dataMeghana Deodhar, Joydeep Ghosh. 250-259 [doi]
• A learning framework using Green s function and kernel regularization with application to recommender systemChris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon. 260-269 [doi]
• Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologiesDejing Dou, Gwen A. Frishkoff, Jiawei Rong, Robert Frank, Allen D. Malony, Don M. Tucker. 270-279 [doi]
• Semi-supervised classification with hybrid generative/discriminative methodsGregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu. 280-289 [doi]
• Finding tribes: identifying close-knit individuals from employment patternsLisa Friedland, David Jensen. 290-299 [doi]
• Time-dependent event hierarchy constructionGabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu. 300-309 [doi]
• The minimum consistent subset cover problem and its applications in data miningByron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong. 310-319 [doi]
• Constraint-driven clusteringRong Ge, Martin Ester, Wen Jin, Ian Davidson. 320-329 [doi]
• Trajectory pattern miningFosca Giannotti, Mirco Nanni, Fabio Pinelli, Dino Pedreschi. 330-339 [doi]
• Enhanced max margin learning on multimodal data mining in a multimedia databaseZhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos. 340-349 [doi]
• Finding low-entropy sets and trees from binary dataHannes Heikinheimo, Jouni K. Seppänen, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen. 350-359 [doi]
• Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysisFrizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor. 360-369 [doi]
• Detecting research topics via the correlation between graphs and textsYookyung Jo, Carl Lagoze, C. Lee Giles. 370-379 [doi]
• Exploiting duality in summarization with deterministic guaranteesPanagiotis Karras, Dimitris Sacharidis, Nikos Mamoulis. 380-389 [doi]
• Correlation search in graph databasesYiping Ke, James Cheng, Wilfred Ng. 390-399 [doi]
• Raising the baseline for high-precision text classifiersAleksander Kolcz, Wen-tau Yih. 400-409 [doi]
• A fast algorithm for finding frequent episodes in event streamsSrivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan. 410-419 [doi]
• Cost-effective outbreak detection in networksJure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie S. Glance. 420-429 [doi]
• Mining statistically important equivalence classes and delta-discriminative emerging patternsJinyan Li, Guimei Liu, Limsoon Wong. 430-439 [doi]
• Very sparse stable random projections for dimension reduction in ::::l::::alpha (0 <alpha<=2) normPing Li. 440-449 [doi]
• BoostCluster: boosting clustering by pairwise constraintsYi Liu, Rong Jin, Anil K. Jain. 450-459 [doi]
• Efficient mining of iterative patterns for software specification discoveryDavid Lo, Siau-Cheng Khoo, Chao Liu. 460-469 [doi]
• A probabilistic framework for relational clusteringBo Long, Zhongfei (Mark) Zhang, Philip S. Yu. 470-479 [doi]
• Nestedness and segmented nestednessHeikki Mannila, Evimaria Terzi. 480-489 [doi]
• Automatic labeling of multinomial topic modelsQiaozhu Mei, Xuehua Shen, ChengXiang Zhai. 490-499 [doi]
• Expertise modeling for matching papers with reviewersDavid M. Mimno, Andrew McCallum. 500-509 [doi]
• Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clustersFlavia Moser, Rong Ge, Martin Ester. 510-519 [doi]
• Multiscale topic tomographyRamesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung. 520-529 [doi]
• Mining optimal decision trees from itemset latticesSiegfried Nijssen, Élisa Fromont. 530-539 [doi]
• Association analysis-based transformations for protein interaction networks: a function prediction case studyGaurav Pandey, Michael Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar. 540-549 [doi]
• Applying collaborative filtering techniques to movie search for better ranking and browsingSeung-Taek Park, David M. Pennock. 550-559 [doi]
• Tracking multiple topics for finding interesting articlesRaymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow. 560-569 [doi]
• Active exploration for learning rankings from clickthrough dataFilip Radlinski, Thorsten Joachims. 570-579 [doi]
• Hierarchical mixture models: a probabilistic analysisMark Sandler. 580-589 [doi]
• Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet priorIssei Sato, Hiroshi Nakagawa. 590-598 [doi]
• Using hierarchical clustering for learning theontologies used in recommendation systemsVincent Schickel-Zuber, Boi Faltings. 599-608 [doi]
• Practical learning from one-sided feedbackD. Sculley. 609-618 [doi]
• Information genealogy: uncovering the flow of ideas in non-hyperlinked document databasesBenyah Shaparenko, Thorsten Joachims. 619-628 [doi]
• A concept-based model for enhancing text categorizationShady Shehata, Fakhri Karray, Mohamed Kamel. 629-637 [doi]
• Partial example acquisition in cost-sensitive learningVictor S. Sheng, Charles X. Ling. 638-646 [doi]
• A spectral clustering approach to optimally combining numericalvectors with a modular networkMotoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka. 647-656 [doi]
• Making generative classifiers robust to selection biasAndrew T. Smith, Charles Elkan. 657-666 [doi]
• Statistical change detection for multi-dimensional dataXiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka. 667-676 [doi]
• Use of ranked cross document evidence trails for hypothesis generationRohini K. Srihari, Li Xu, Tushar Saxena. 677-686 [doi]
• GraphScope: parameter-free mining of large time-evolving graphsJimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu. 687-696 [doi]
• Weighting versus pruning in rule validation for detecting network and host anomaliesGaurav Tandon, Philip K. Chan. 697-706 [doi]
• Enhancing semi-supervised clustering: a feature projection perspectiveWei Tang, Hui Xiong, Shi Zhong, Jie Wu. 707-716 [doi]
• A framework for community identification in dynamic social networksChayant Tantipathananandh, Tanya Y. Berger-Wolf, David Kempe. 717-726 [doi]
• A scalable modular convex solver for regularized risk minimizationChoon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le. 727-736 [doi]
• Fast best-effort pattern matching in large attributed graphsHanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad. 737-746 [doi]
• Fast direction-aware proximity for graph miningHanghang Tong, Christos Faloutsos, Yehuda Koren. 747-756 [doi]
• Scalable look-ahead linear regression treesDavid S. Vogel, Ognian Asparouhov, Tobias Scheffer. 757-764 [doi]
• Characterising the differenceJilles Vreeken, Matthijs van Leeuwen, Arno Siebes. 765-774 [doi]
• Privacy-preservation for gradient descent methodsLi Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee. 775-783 [doi]
• Mining correlated bursty topic patterns from coordinated text streamsXuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat. 784-793 [doi]
• Generalized component analysis for text with heterogeneous attributesXuerui Wang, Chris Pal, Andrew McCallum. 794-803 [doi]
• Mining favorable facetsRaymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang. 804-813 [doi]
• Local decomposition for rare class analysisJunjie Wu, Hui Xiong, Peng Wu, Jian Chen. 814-823 [doi]
• SCAN: a structural clustering algorithm for networksXiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J. Schweiger. 824-833 [doi]
• Model-shared subspace boosting for multi-label classificationRong Yan, Jelena Tesic, John R. Smith. 834-843 [doi]
• Detecting time series motifs under uniform scalingDragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Yuan-chi Chiu, Victor B. Zordan. 844-853 [doi]
• Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programmingJieping Ye, Shuiwang Ji, Jianhui Chen. 854-863 [doi]
• From frequent itemsets to semantically meaningful visual patternsJunsong Yuan, Ying Wu, Ming Yang. 864-873 [doi]
• Information distance from a question to an answerXian Zhang, Yu Hao, Xiaoyan Zhu, Ming Li, David R. Cheriton. 874-883 [doi]
• Mining templates from search result records of search enginesHongkun Zhao, Weiyi Meng, Clement T. Yu. 884-893 [doi]
• Joint optimization of wrapper generation and template detectionShuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu. 894-902 [doi]
• Webpage understanding: an integrated approachJun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon. 903-912 [doi]
• An event-based framework for characterizing the evolutionary behavior of interaction graphsSitaram Asur, Srinivasan Parthasarathy, Duygu Ucar. 913-921 [doi]
• On-board analysis of uncalibrated data for a spacecraft at marsRebecca Castaño, Kiri Wagstaff, Steve A. Chien, Timothy M. Stough, Benyang Tang. 922-930 [doi]
• Relational data pre-processing techniques for improved securities fraud detectionAndrew Fast, Lisa Friedland, Marc Maier, Brian Taylor, David Jensen, Henry G. Goldberg, John Komoroske. 941-949 [doi]
• Cleaning disguised missing data: a heuristic approachMing Hua, Jian Pei. 950-958 [doi]
• Practical guide to controlled experiments on the web: listen to your customers not to the hippoRon Kohavi, Randal M. Henne, Dan Sommerfield. 959-967 [doi]
• Distributed classification in peer-to-peer networksPing Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi. 968-976 [doi]
• High-quantile modeling for customer wallet estimation and other applicationsClaudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny. 977-985 [doi]
• Mining complex power networks for blackout preventionJun Hua Zhao, Zhao Yang Dong, Pei Zhang. 986-994 [doi]
• Corroborate and learn facts from the webShubin Zhao, Jonathan Betz. 995-1003 [doi]
• Extracting relevant named entities for automated expense reimbursementGuangyu Zhu, Timothy J. Bethea, Vikas Krishna. 1004-1012 [doi]
• A framework for classification and segmentation of massive audio data streamsCharu C. Aggarwal. 1013-1017 [doi]
• Detecting changes in large data sets of payment card data: a case studyChris Curry, Robert L. Grossman, David Locke, Steve Vejcik, Joseph Bugajski. 1018-1022 [doi]
• Domain-constrained semi-supervised mining of tracking models in sensor networksRong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang. 1023-1027 [doi]
• Event summarization for system managementWei Peng, Charles Perng, Tao Li, Haixun Wang. 1028-1032 [doi]
• LungCAD: a clinically approved, machine learning system for lung cancer detectionR. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich. 1033-1037 [doi]
• Machine learning for stock selectionRobert J. Yan, Charles X. Ling. 1038-1042 [doi]
• IMDS: intelligent malware detection systemYanfang Ye, Dingding Wang, Tao Li, Dongyi Ye. 1043-1047 [doi]
• Truth discovery with multiple conflicting information providers on the webXiaoxin Yin, Jiawei Han, Philip S. Yu. 1048-1052 [doi]
• Data mining at the crossroads: successes, failures and learning from themSrinivasan Parthasarathy. 1053-1055 [doi]