13. KDD 2007: San Jose, California, USA

• Chris Anderson:
  Calculating latent demand in the long tail. 1
  
• Usama M. Fayyad:
  From mining the web to inventing the new sciences underlying the internet. 2-3
  
• Jon M. Kleinberg:
  Challenges in mining social network data: processes, privacy, and paradoxes. 4-5
  

Research track papers

• Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava:
  Efficient and effective explanation of change in hierarchical summaries. 6-15
  
• Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian:
  Estimating rates of rare events at multiple resolutions. 16-25
  
• Deepak Agarwal, Srujana Merugu:
  Predictive discrete latent factor models for large scale dyadic data. 26-35
  
• Charu C. Aggarwal, Philip S. Yu:
  On string classification in data streams. 36-45
  
• Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki:
  Xproj: a framework for projected structural clustering of xml documents. 46-55
  
• Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeirotis:
  Show me the money!: deriving the pricing power of product features by mining consumer reviews. 56-65
  
• Andrew Arnold, Yan Liu, Naoki Abe:
  Temporal causal modeling with graphical granger methods. 66-75
  
• Ricardo A. Baeza-Yates, Alessandro Tiberi:
  Extracting semantic relations from query logs. 76-85
  
• Hila Becker, Marta Arias:
  Real-time ranking with concept drift using expert advice. 86-94
  
• Robert M. Bell, Yehuda Koren, Chris Volinsky:
  Modeling relationships at multiple scales to improve accuracy of large recommender systems. 95-104
  
• Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra:
  Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus. 105-112
  
• Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C. Sachdeo:
  Support feature machine for classification of abnormal brain activity. 113-122
  
• Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu:
  Nonlinear adaptive distance metric learning for clustering. 123-132
  
• Yixin Chen, Li Tu:
  Density-based clustering for real-time stream data. 133-142
  
• Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali:
  Cross-language information retrieval using PARAFAC2. 143-152
  
• Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng:
  Evolutionary spectral clustering by incorporating temporal smoothness. 153-162
  
• Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng:
  Structural and temporal analysis of the blogosphere through community factorization. 163-172
  
• Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun:
  Discovering the hidden structure of house prices with a non-parametric latent manifold model. 173-182
  
• Paul Cotofrei, Kilian Stoffel:
  Stochastic processes and temporal data mining. 183-190
  
• Daniel Crabtree, Peter Andreae, Xiaoying Gao:
  Exploiting underrepresented query aspects for automatic query expansion. 191-200
  
• Aron Culotta, Michael L. Wick, Robert Hall, Matthew Marzilli, Andrew McCallum:
  Canonicalization of database records using adaptive similarity measures. 201-209
  
• Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
  Co-clustering based classification for out-of-domain documents. 210-219
  
• Kaustav Das, Jeff G. Schneider:
  Detecting anomalous records in categorical datasets. 220-229
  
• Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney:
  Feature selection methods for text classification. 230-239
  
• Ian Davidson, S. S. Ravi, Martin Ester:
  Efficient incremental constrained clustering. 240-249
  
• Meghana Deodhar, Joydeep Ghosh:
  A framework for simultaneous co-clustering and learning from complex data. 250-259
  
• Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon:
  A learning framework using Green's function and kernel regularization with application to recommender system. 260-269
  
• Dejing Dou, Gwen A. Frishkoff, Jiawei Rong, Robert Frank, Allen D. Malony, Don M. Tucker:
  Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies. 270-279
  
• Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu:
  Semi-supervised classification with hybrid generative/discriminative methods. 280-289
  
• Lisa Friedland, David Jensen:
  Finding tribes: identifying close-knit individuals from employment patterns. 290-299
  
• Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu:
  Time-dependent event hierarchy construction. 300-309
  
• Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong:
  The minimum consistent subset cover problem and its applications in data mining. 310-319
  
• Rong Ge, Martin Ester, Wen Jin, Ian Davidson:
  Constraint-driven clustering. 320-329
  
• Fosca Giannotti, Mirco Nanni, Fabio Pinelli, Dino Pedreschi:
  Trajectory pattern mining. 330-339
  
• Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos:
  Enhanced max margin learning on multimodal data mining in a multimedia database. 340-349
  
• Hannes Heikinheimo, Jouni K. Seppänen, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen:
  Finding low-entropy sets and trees from binary data. 350-359
  
• Frizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor:
  Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis. 360-369
  
• Yookyung Jo, Carl Lagoze, C. Lee Giles:
  Detecting research topics via the correlation between graphs and texts. 370-379
  
• Panagiotis Karras, Dimitris Sacharidis, Nikos Mamoulis:
  Exploiting duality in summarization with deterministic guarantees. 380-389
  
• Yiping Ke, James Cheng, Wilfred Ng:
  Correlation search in graph databases. 390-399
  
• Aleksander Kolcz, Wen-tau Yih:
  Raising the baseline for high-precision text classifiers. 400-409
  
• Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan:
  A fast algorithm for finding frequent episodes in event streams. 410-419
  
• Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie S. Glance:
  Cost-effective outbreak detection in networks. 420-429
  
• Jinyan Li, Guimei Liu, Limsoon Wong:
  Mining statistically important equivalence classes and delta-discriminative emerging patterns. 430-439
  
• Ping Li:
  Very sparse stable random projections for dimension reduction in lalpha (0 &lt;alpha<=2) norm. 440-449
  
• Yi Liu, Rong Jin, Anil K. Jain:
  BoostCluster: boosting clustering by pairwise constraints. 450-459
  
• David Lo, Siau-Cheng Khoo, Chao Liu:
  Efficient mining of iterative patterns for software specification discovery. 460-469
  
• Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
  A probabilistic framework for relational clustering. 470-479
  
• Heikki Mannila, Evimaria Terzi:
  Nestedness and segmented nestedness. 480-489
  
• Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai:
  Automatic labeling of multinomial topic models. 490-499
  
• David M. Mimno, Andrew McCallum:
  Expertise modeling for matching papers with reviewers. 500-509
  
• Flavia Moser, Rong Ge, Martin Ester:
  Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. 510-519
  
• Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung:
  Multiscale topic tomography. 520-529
  
• Siegfried Nijssen, Élisa Fromont:
  Mining optimal decision trees from itemset lattices. 530-539
  
• Gaurav Pandey, Michael Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar:
  Association analysis-based transformations for protein interaction networks: a function prediction case study. 540-549
  
• Seung-Taek Park, David M. Pennock:
  Applying collaborative filtering techniques to movie search for better ranking and browsing. 550-559
  
• Raymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow:
  Tracking multiple topics for finding interesting articles. 560-569
  
• Filip Radlinski, Thorsten Joachims:
  Active exploration for learning rankings from clickthrough data. 570-579
  
• Mark Sandler:
  Hierarchical mixture models: a probabilistic analysis. 580-589
  
• Issei Sato, Hiroshi Nakagawa:
  Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior. 590-598
  
• Vincent Schickel-Zuber, Boi Faltings:
  Using hierarchical clustering for learning theontologies used in recommendation systems. 599-608
  
• D. Sculley:
  Practical learning from one-sided feedback. 609-618
  
• Benyah Shaparenko, Thorsten Joachims:
  Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases. 619-628
  
• Shady Shehata, Fakhri Karray, Mohamed Kamel:
  A concept-based model for enhancing text categorization. 629-637
  
• Victor S. Sheng, Charles X. Ling:
  Partial example acquisition in cost-sensitive learning. 638-646
  
• Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka:
  A spectral clustering approach to optimally combining numericalvectors with a modular network. 647-656
  
• Andrew T. Smith, Charles Elkan:
  Making generative classifiers robust to selection bias. 657-666
  
• Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka:
  Statistical change detection for multi-dimensional data. 667-676
  
• Rohini K. Srihari, Li Xu, Tushar Saxena:
  Use of ranked cross document evidence trails for hypothesis generation. 677-686
  
• Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu:
  GraphScope: parameter-free mining of large time-evolving graphs. 687-696
  
• Gaurav Tandon, Philip K. Chan:
  Weighting versus pruning in rule validation for detecting network and host anomalies. 697-706
  
• Wei Tang, Hui Xiong, Shi Zhong, Jie Wu:
  Enhancing semi-supervised clustering: a feature projection perspective. 707-716
  
• Chayant Tantipathananandh, Tanya Y. Berger-Wolf, David Kempe:
  A framework for community identification in dynamic social networks. 717-726
  
• Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le:
  A scalable modular convex solver for regularized risk minimization. 727-736
  
• Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad:
  Fast best-effort pattern matching in large attributed graphs. 737-746
  
• Hanghang Tong, Christos Faloutsos, Yehuda Koren:
  Fast direction-aware proximity for graph mining. 747-756
  
• David S. Vogel, Ognian Asparouhov, Tobias Scheffer:
  Scalable look-ahead linear regression trees. 757-764
  
• Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes:
  Characterising the difference. 765-774
  
• Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee:
  Privacy-preservation for gradient descent methods. 775-783
  
• Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat:
  Mining correlated bursty topic patterns from coordinated text streams. 784-793
  
• Xuerui Wang, Chris Pal, Andrew McCallum:
  Generalized component analysis for text with heterogeneous attributes. 794-803
  
• Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang:
  Mining favorable facets. 804-813
  
• Junjie Wu, Hui Xiong, Peng Wu, Jian Chen:
  Local decomposition for rare class analysis. 814-823
  
• Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J. Schweiger:
  SCAN: a structural clustering algorithm for networks. 824-833
  
• Rong Yan, Jelena Tesic, John R. Smith:
  Model-shared subspace boosting for multi-label classification. 834-843
  
• Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Yuan-chi Chiu, Victor B. Zordan:
  Detecting time series motifs under uniform scaling. 844-853
  
• Jieping Ye, Shuiwang Ji, Jianhui Chen:
  Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. 854-863
  
• Junsong Yuan, Ying Wu, Ming Yang:
  From frequent itemsets to semantically meaningful visual patterns. 864-873
  
• Xian Zhang, Yu Hao, Xiaoyan Zhu, Ming Li, David R. Cheriton:
  Information distance from a question to an answer. 874-883
  
• Hongkun Zhao, Weiyi Meng, Clement T. Yu:
  Mining templates from search result records of search engines. 884-893
  
• Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu:
  Joint optimization of wrapper generation and template detection. 894-902
  
• Jun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon:
  Webpage understanding: an integrated approach. 903-912
  

Industrial and government track papers

• Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar:
  An event-based framework for characterizing the evolutionary behavior of interaction graphs. 913-921
  
• Rebecca Castaño, Kiri Wagstaff, Steve A. Chien, Timothy M. Stough, Benyang Tang:
  On-board analysis of uncalibrated data for a spacecraft at mars. 922-930
  
• Andrew Fast, Lisa Friedland, Marc Maier, Brian Taylor, David Jensen, Henry G. Goldberg, John Komoroske:
  Relational data pre-processing techniques for improved securities fraud detection. 941-949
  
• Ming Hua, Jian Pei:
  Cleaning disguised missing data: a heuristic approach. 950-958
  
• Ron Kohavi, Randal M. Henne, Dan Sommerfield:
  Practical guide to controlled experiments on the web: listen to your customers not to the hippo. 959-967
  
• Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi:
  Distributed classification in peer-to-peer networks. 968-976
  
• Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny:
  High-quantile modeling for customer wallet estimation and other applications. 977-985
  
• Jun Hua Zhao, Zhao Yang Dong, Pei Zhang:
  Mining complex power networks for blackout prevention. 986-994
  
• Shubin Zhao, Jonathan Betz:
  Corroborate and learn facts from the web. 995-1003
  
• Guangyu Zhu, Timothy J. Bethea, Vikas Krishna:
  Extracting relevant named entities for automated expense reimbursement. 1004-1012
  

Industrial and government track short papers

• Charu C. Aggarwal:
  A framework for classification and segmentation of massive audio data streams. 1013-1017
  
• Chris Curry, Robert L. Grossman, David Locke, Steve Vejcik, Joseph Bugajski:
  Detecting changes in large data sets of payment card data: a case study. 1018-1022
  
• Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang:
  Domain-constrained semi-supervised mining of tracking models in sensor networks. 1023-1027
  
• Wei Peng, Charles Perng, Tao Li, Haixun Wang:
  Event summarization for system management. 1028-1032
  
• R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich:
  LungCAD: a clinically approved, machine learning system for lung cancer detection. 1033-1037
  
• Robert J. Yan, Charles X. Ling:
  Machine learning for stock selection. 1038-1042
  
• Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye:
  IMDS: intelligent malware detection system. 1043-1047
  
• Xiaoxin Yin, Jiawei Han, Philip S. Yu:
  Truth discovery with multiple conflicting information providers on the web. 1048-1052
  

Panel

• Srinivasan Parthasarathy:
  Data mining at the crossroads: successes, failures and learning from them. 1053-1055