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Videos
SIGMOD '07
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This DVD contains the proceedings of the
Thirteenth ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (SIGKDD 2007),
which was held from August 12-15, 2007 in San Jose, California
in cooperation with AAAI.
You may use the "  PDF"
link to retrieve the paper,
and the other links to find more information on the paper.
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Chris Anderson
Calculating latent demand in the long tail 1
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Usama M. Fayyad
From mining the web to inventing the new sciences underlying the internet 2-3
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Jon M. Kleinberg
Challenges in mining social network data: processes, privacy, and paradoxes 4-5
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Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava
Efficient and effective explanation of change in hierarchical summaries 6-15
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Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian
Estimating rates of rare events at multiple resolutions 16-25
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Deepak Agarwal, Srujana Merugu
Predictive discrete latent factor models for large scale dyadic data 26-35
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Charu C. Aggarwal, Philip S. Yu
On string classification in data streams 36-45
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Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki
Xproj: a framework for projected structural clustering of xml documents 46-55
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Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeirotis
Show me the money!: deriving the pricing power of product features by mining consumer reviews 56-65
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Andrew Arnold, Yan Liu, Naoki Abe
Temporal causal modeling with graphical granger methods 66-75
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Ricardo A. Baeza-Yates, Alessandro Tiberi
Extracting semantic relations from query logs 76-85
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Hila Becker, Marta Arias
Real-time ranking with concept drift using expert advice 86-94
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Robert Bell, Yehuda Koren, Chris Volinsky
Modeling relationships at multiple scales to improve accuracy of large recommender systems 95-104
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Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus 105-112
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Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C. Sachdeo
Support feature machine for classification of abnormal brain activity 113-122
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Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
Nonlinear adaptive distance metric learning for clustering 123-132
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Yixin Chen, Li Tu
Density-based clustering for real-time stream data 133-142
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Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali
Cross-language information retrieval using PARAFAC2 143-152
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Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng
Evolutionary spectral clustering by incorporating temporal smoothness 153-162
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Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng
Structural and temporal analysis of the blogosphere through community factorization 163-172
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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
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Paul Cotofrei, Kilian Stoffel
Stochastic processes and temporal data mining 183-190
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Daniel Crabtree, Peter Andreae, Xiaoying Gao
Exploiting underrepresented query aspects for automatic query expansion 191-200
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Aron Culotta, Michael Wick, Robert Hall, Matthew Marzilli, Andrew McCallum
Canonicalization of database records using adaptive similarity measures 201-209
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Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu
Co-clustering based classification for out-of-domain documents 210-219
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Kaustav Das, Jeff G. Schneider
Detecting anomalous records in categorical datasets 220-229
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Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney
Feature selection methods for text classification 230-239
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Ian Davidson, S. S. Ravi, Martin Ester
Efficient incremental constrained clustering 240-249
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Meghana Deodhar, Joydeep Ghosh
A framework for simultaneous co-clustering and learning from complex data 250-259
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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
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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
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Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu
Semi-supervised classification with hybrid generative/discriminative methods 280-289
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Lisa Friedland, David Jensen
Finding tribes: identifying close-knit individuals from employment patterns 290-299
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Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu
Time-dependent event hierarchy construction 300-309
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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
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Rong Ge, Martin Ester, Wen Jin, Ian Davidson
Constraint-driven clustering 320-329
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Fosca Giannotti, Mirco Nanni, Fabio Pinelli, Dino Pedreschi
Trajectory pattern mining 330-339
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Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos
Enhanced max margin learning on multimodal data mining in a multimedia database 340-349
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Hannes Heikinheimo, Jouni K. Seppänen, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen
Finding low-entropy sets and trees from binary data 350-359
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Frizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis 360-369
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Yookyung Jo, Carl Lagoze, C. Lee Giles
Detecting research topics via the correlation between graphs and texts 370-379
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Panagiotis Karras, Dimitris Sacharidis, Nikos Mamoulis
Exploiting duality in summarization with deterministic guarantees 380-389
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Yiping Ke, James Cheng, Wilfred Ng
Correlation search in graph databases 390-399
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Aleksander Kolcz, Wen-tau Yih
Raising the baseline for high-precision text classifiers 400-409
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Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
A fast algorithm for finding frequent episodes in event streams 410-419
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Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie S. Glance
Cost-effective outbreak detection in networks 420-429
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Jinyan Li, Guimei Liu, Limsoon Wong
Mining statistically important equivalence classes and delta-discriminative emerging patterns 430-439
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Ping Li
Very sparse stable random projections for dimension reduction in lalpha (0 <alpha<=2) norm 440-449
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Yi Liu, Rong Jin, Anil K. Jain
BoostCluster: boosting clustering by pairwise constraints 450-459
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David Lo, Siau-Cheng Khoo, Chao Liu
Efficient mining of iterative patterns for software specification discovery 460-469
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Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
A probabilistic framework for relational clustering 470-479
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Heikki Mannila, Evimaria Terzi
Nestedness and segmented nestedness 480-489
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Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
Automatic labeling of multinomial topic models 490-499
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David M. Mimno, Andrew McCallum
Expertise modeling for matching papers with reviewers 500-509
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Flavia Moser, Rong Ge, Martin Ester
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters 510-519
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Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung
Multiscale topic tomography 520-529
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Siegfried Nijssen, Élisa Fromont
Mining optimal decision trees from itemset lattices 530-539
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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
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Seung-Taek Park, David M. Pennock
Applying collaborative filtering techniques to movie search for better ranking and browsing 550-559
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Raymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow
Tracking multiple topics for finding interesting articles 560-569
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Filip Radlinski, Thorsten Joachims
Active exploration for learning rankings from clickthrough data 570-579
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Mark Sandler
Hierarchical mixture models: a probabilistic analysis 580-589
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Issei Sato, Hiroshi Nakagawa
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior 590-598
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Vincent Schickel-Zuber, Boi Faltings
Using hierarchical clustering for learning theontologies used in recommendation systems 599-608
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D. Sculley
Practical learning from one-sided feedback 609-618
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Benyah Shaparenko, Thorsten Joachims
Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases 619-628
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Shady Shehata, Fakhri Karray, Mohamed Kamel
A concept-based model for enhancing text categorization 629-637
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Victor S. Sheng, Charles X. Ling
Partial example acquisition in cost-sensitive learning 638-646
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Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka
A spectral clustering approach to optimally combining numericalvectors with a modular network 647-656
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Andrew T. Smith, Charles Elkan
Making generative classifiers robust to selection bias 657-666
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Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka
Statistical change detection for multi-dimensional data 667-676
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Rohini K. Srihari, Li Xu, Tushar Saxena
Use of ranked cross document evidence trails for hypothesis generation 677-686
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Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu
GraphScope: parameter-free mining of large time-evolving graphs 687-696
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Gaurav Tandon, Philip K. Chan
Weighting versus pruning in rule validation for detecting network and host anomalies 697-706
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Wei Tang, Hui Xiong, Shi Zhong, Jie Wu
Enhancing semi-supervised clustering: a feature projection perspective 707-716
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Chayant Tantipathananandh, Tanya Y. Berger-Wolf, David Kempe
A framework for community identification in dynamic social networks 717-726
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Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
A scalable modular convex solver for regularized risk minimization 727-736
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Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad
Fast best-effort pattern matching in large attributed graphs 737-746
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Hanghang Tong, Christos Faloutsos, Yehuda Koren
Fast direction-aware proximity for graph mining 747-756
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David S. Vogel, Ognian Asparouhov, Tobias Scheffer
Scalable look-ahead linear regression trees 757-764
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Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Characterising the difference 765-774
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Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee
Privacy-preservation for gradient descent methods 775-783
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Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat
Mining correlated bursty topic patterns from coordinated text streams 784-793
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Xuerui Wang, Chris Pal, Andrew McCallum
Generalized component analysis for text with heterogeneous attributes 794-803
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Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang
Mining favorable facets 804-813
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Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
Local decomposition for rare class analysis 814-823
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Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J. Schweiger
SCAN: a structural clustering algorithm for networks 824-833
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Rong Yan, Jelena Tesic, John R. Smith
Model-shared subspace boosting for multi-label classification 834-843
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Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Chiu, Victor B. Zordan
Detecting time series motifs under uniform scaling 844-853
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Jieping Ye, Shuiwang Ji, Jianhui Chen
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming 854-863
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Junsong Yuan, Ying Wu, Ming Yang
From frequent itemsets to semantically meaningful visual patterns 864-873
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Xian Zhang, Yu Hao, Xiaoyan Zhu, Ming Li, David R. Cheriton
Information distance from a question to an answer 874-883
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Hongkun Zhao, Weiyi Meng, Clement T. Yu
Mining templates from search result records of search engines 884-893
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Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu
Joint optimization of wrapper generation and template detection 894-902
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Jun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon
Webpage understanding: an integrated approach 903-912
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Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
An event-based framework for characterizing the evolutionary behavior of interaction graphs 913-921
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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
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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
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Ming Hua, Jian Pei
Cleaning disguised missing data: a heuristic approach 950-958
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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
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Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
Distributed classification in peer-to-peer networks 968-976
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Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
High-quantile modeling for customer wallet estimation and other applications 977-985
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Jun Hua Zhao, Zhao Yang Dong, Pei Zhang
Mining complex power networks for blackout prevention 986-994
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Shubin Zhao, Jonathan Betz
Corroborate and learn facts from the web 995-1003
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Guangyu Zhu, Timothy J. Bethea, Vikas Krishna
Extracting relevant named entities for automated expense reimbursement 1004-1012
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Charu C. Aggarwal
A framework for classification and segmentation of massive audio data streams 1013-1017
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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
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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
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Wei Peng, Charles Perng, Tao Li, Haixun Wang
Event summarization for system management 1028-1032
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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
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Robert J. Yan, Charles X. Ling
Machine learning for stock selection 1038-1042
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Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
IMDS: intelligent malware detection system 1043-1047
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Xiaoxin Yin, Jiawei Han, Philip S. Yu
Truth discovery with multiple conflicting information providers on the web 1048-1052
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Srinivasan Parthasarathy
Data mining at the crossroads: successes, failures and learning from them 1053-1055
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Copyright ©2010 Association for Computing Machinery
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