13. KDD 2007:
San Jose,
California,
USA
Pavel Berkhin, Rich Caruana, Xindong Wu (Eds.):
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007.
ACM 2007, ISBN 978-1-59593-609-7 BibTeX
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
Electronic Edition (ACM DL) BibTeX
- Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian:
Estimating rates of rare events at multiple resolutions.
16-25
Electronic Edition (ACM DL) BibTeX
- Deepak Agarwal, Srujana Merugu:
Predictive discrete latent factor models for large scale dyadic data.
26-35
Electronic Edition (ACM DL) BibTeX
- Charu C. Aggarwal, Philip S. Yu:
On string classification in data streams.
36-45
Electronic Edition (ACM DL) BibTeX
- Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki:
Xproj: a framework for projected structural clustering of xml documents.
46-55
Electronic Edition (ACM DL) BibTeX
- Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeirotis:
Show me the money!: deriving the pricing power of product features by mining consumer reviews.
56-65
Electronic Edition (ACM DL) BibTeX
- Andrew Arnold, Yan Liu, Naoki Abe:
Temporal causal modeling with graphical granger methods.
66-75
Electronic Edition (ACM DL) BibTeX
- Ricardo A. Baeza-Yates, Alessandro Tiberi:
Extracting semantic relations from query logs.
76-85
Electronic Edition (ACM DL) BibTeX
- Hila Becker, Marta Arias:
Real-time ranking with concept drift using expert advice.
86-94
Electronic Edition (ACM DL) BibTeX
- Robert Bell, Yehuda Koren, Chris Volinsky:
Modeling relationships at multiple scales to improve accuracy of large recommender systems.
95-104
Electronic Edition (ACM DL) BibTeX
- Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra:
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus.
105-112
Electronic Edition (ACM DL) BibTeX
- Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C. Sachdeo:
Support feature machine for classification of abnormal brain activity.
113-122
Electronic Edition (ACM DL) BibTeX
- Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu:
Nonlinear adaptive distance metric learning for clustering.
123-132
Electronic Edition (ACM DL) BibTeX
- Yixin Chen, Li Tu:
Density-based clustering for real-time stream data.
133-142
Electronic Edition (ACM DL) BibTeX
- Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali:
Cross-language information retrieval using PARAFAC2.
143-152
Electronic Edition (ACM DL) BibTeX
- Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng:
Evolutionary spectral clustering by incorporating temporal smoothness.
153-162
Electronic Edition (ACM DL) BibTeX
- Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng:
Structural and temporal analysis of the blogosphere through community factorization.
163-172
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Paul Cotofrei, Kilian Stoffel:
Stochastic processes and temporal data mining.
183-190
Electronic Edition (ACM DL) BibTeX
- Daniel Crabtree, Peter Andreae, Xiaoying Gao:
Exploiting underrepresented query aspects for automatic query expansion.
191-200
Electronic Edition (ACM DL) BibTeX
- Aron Culotta, Michael Wick, Robert Hall, Matthew Marzilli, Andrew McCallum:
Canonicalization of database records using adaptive similarity measures.
201-209
Electronic Edition (ACM DL) BibTeX
- Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Co-clustering based classification for out-of-domain documents.
210-219
Electronic Edition (ACM DL) BibTeX
- Kaustav Das, Jeff G. Schneider:
Detecting anomalous records in categorical datasets.
220-229
Electronic Edition (ACM DL) BibTeX
- Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney:
Feature selection methods for text classification.
230-239
Electronic Edition (ACM DL) BibTeX
- Ian Davidson, S. S. Ravi, Martin Ester:
Efficient incremental constrained clustering.
240-249
Electronic Edition (ACM DL) BibTeX
- Meghana Deodhar, Joydeep Ghosh:
A framework for simultaneous co-clustering and learning from complex data.
250-259
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu:
Semi-supervised classification with hybrid generative/discriminative methods.
280-289
Electronic Edition (ACM DL) BibTeX
- Lisa Friedland, David Jensen:
Finding tribes: identifying close-knit individuals from employment patterns.
290-299
Electronic Edition (ACM DL) BibTeX
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu:
Time-dependent event hierarchy construction.
300-309
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Rong Ge, Martin Ester, Wen Jin, Ian Davidson:
Constraint-driven clustering.
320-329
Electronic Edition (ACM DL) BibTeX
- Fosca Giannotti, Mirco Nanni, Fabio Pinelli, Dino Pedreschi:
Trajectory pattern mining.
330-339
Electronic Edition (ACM DL) BibTeX
- Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos:
Enhanced max margin learning on multimodal data mining in a multimedia database.
340-349
Electronic Edition (ACM DL) BibTeX
- Hannes Heikinheimo, Jouni K. Seppänen, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen:
Finding low-entropy sets and trees from binary data.
350-359
Electronic Edition (ACM DL) BibTeX
- Frizo A. L. Janssens, Wolfgang Glänzel, Bart De Moor:
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis.
360-369
Electronic Edition (ACM DL) BibTeX
- Yookyung Jo, Carl Lagoze, C. Lee Giles:
Detecting research topics via the correlation between graphs and texts.
370-379
Electronic Edition (ACM DL) BibTeX
- Panagiotis Karras, Dimitris Sacharidis, Nikos Mamoulis:
Exploiting duality in summarization with deterministic guarantees.
380-389
Electronic Edition (ACM DL) BibTeX
- Yiping Ke, James Cheng, Wilfred Ng:
Correlation search in graph databases.
390-399
Electronic Edition (ACM DL) BibTeX
- Aleksander Kolcz, Wen-tau Yih:
Raising the baseline for high-precision text classifiers.
400-409
Electronic Edition (ACM DL) BibTeX
- Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan:
A fast algorithm for finding frequent episodes in event streams.
410-419
Electronic Edition (ACM DL) BibTeX
- Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie S. Glance:
Cost-effective outbreak detection in networks.
420-429
Electronic Edition (ACM DL) BibTeX
- Jinyan Li, Guimei Liu, Limsoon Wong:
Mining statistically important equivalence classes and delta-discriminative emerging patterns.
430-439
Electronic Edition (ACM DL) BibTeX
- Ping Li:
Very sparse stable random projections for dimension reduction in lalpha (0 <alpha<=2) norm.
440-449
Electronic Edition (ACM DL) BibTeX
- Yi Liu, Rong Jin, Anil K. Jain:
BoostCluster: boosting clustering by pairwise constraints.
450-459
Electronic Edition (ACM DL) BibTeX
- David Lo, Siau-Cheng Khoo, Chao Liu:
Efficient mining of iterative patterns for software specification discovery.
460-469
Electronic Edition (ACM DL) BibTeX
- Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
A probabilistic framework for relational clustering.
470-479
Electronic Edition (ACM DL) BibTeX
- Heikki Mannila, Evimaria Terzi:
Nestedness and segmented nestedness.
480-489
Electronic Edition (ACM DL) BibTeX
- Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai:
Automatic labeling of multinomial topic models.
490-499
Electronic Edition (ACM DL) BibTeX
- David M. Mimno, Andrew McCallum:
Expertise modeling for matching papers with reviewers.
500-509
Electronic Edition (ACM DL) BibTeX
- Flavia Moser, Rong Ge, Martin Ester:
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters.
510-519
Electronic Edition (ACM DL) BibTeX
- Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung:
Multiscale topic tomography.
520-529
Electronic Edition (ACM DL) BibTeX
- Siegfried Nijssen, Élisa Fromont:
Mining optimal decision trees from itemset lattices.
530-539
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Seung-Taek Park, David M. Pennock:
Applying collaborative filtering techniques to movie search for better ranking and browsing.
550-559
Electronic Edition (ACM DL) BibTeX
- Raymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow:
Tracking multiple topics for finding interesting articles.
560-569
Electronic Edition (ACM DL) BibTeX
- Filip Radlinski, Thorsten Joachims:
Active exploration for learning rankings from clickthrough data.
570-579
Electronic Edition (ACM DL) BibTeX
- Mark Sandler:
Hierarchical mixture models: a probabilistic analysis.
580-589
Electronic Edition (ACM DL) BibTeX
- Issei Sato, Hiroshi Nakagawa:
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior.
590-598
Electronic Edition (ACM DL) BibTeX
- Vincent Schickel-Zuber, Boi Faltings:
Using hierarchical clustering for learning theontologies used in recommendation systems.
599-608
Electronic Edition (ACM DL) BibTeX
- D. Sculley:
Practical learning from one-sided feedback.
609-618
Electronic Edition (ACM DL) BibTeX
- Benyah Shaparenko, Thorsten Joachims:
Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases.
619-628
Electronic Edition (ACM DL) BibTeX
- Shady Shehata, Fakhri Karray, Mohamed Kamel:
A concept-based model for enhancing text categorization.
629-637
Electronic Edition (ACM DL) BibTeX
- Victor S. Sheng, Charles X. Ling:
Partial example acquisition in cost-sensitive learning.
638-646
Electronic Edition (ACM DL) BibTeX
- Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka:
A spectral clustering approach to optimally combining numericalvectors with a modular network.
647-656
Electronic Edition (ACM DL) BibTeX
- Andrew T. Smith, Charles Elkan:
Making generative classifiers robust to selection bias.
657-666
Electronic Edition (ACM DL) BibTeX
- Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka:
Statistical change detection for multi-dimensional data.
667-676
Electronic Edition (ACM DL) BibTeX
- Rohini K. Srihari, Li Xu, Tushar Saxena:
Use of ranked cross document evidence trails for hypothesis generation.
677-686
Electronic Edition (ACM DL) BibTeX
- Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu:
GraphScope: parameter-free mining of large time-evolving graphs.
687-696
Electronic Edition (ACM DL) BibTeX
- Gaurav Tandon, Philip K. Chan:
Weighting versus pruning in rule validation for detecting network and host anomalies.
697-706
Electronic Edition (ACM DL) BibTeX
- Wei Tang, Hui Xiong, Shi Zhong, Jie Wu:
Enhancing semi-supervised clustering: a feature projection perspective.
707-716
Electronic Edition (ACM DL) BibTeX
- Chayant Tantipathananandh, Tanya Y. Berger-Wolf, David Kempe:
A framework for community identification in dynamic social networks.
717-726
Electronic Edition (ACM DL) BibTeX
- Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le:
A scalable modular convex solver for regularized risk minimization.
727-736
Electronic Edition (ACM DL) BibTeX
- Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad:
Fast best-effort pattern matching in large attributed graphs.
737-746
Electronic Edition (ACM DL) BibTeX
- Hanghang Tong, Christos Faloutsos, Yehuda Koren:
Fast direction-aware proximity for graph mining.
747-756
Electronic Edition (ACM DL) BibTeX
- David S. Vogel, Ognian Asparouhov, Tobias Scheffer:
Scalable look-ahead linear regression trees.
757-764
Electronic Edition (ACM DL) BibTeX
- Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes:
Characterising the difference.
765-774
Electronic Edition (ACM DL) BibTeX
- Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee:
Privacy-preservation for gradient descent methods.
775-783
Electronic Edition (ACM DL) BibTeX
- Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sproat:
Mining correlated bursty topic patterns from coordinated text streams.
784-793
Electronic Edition (ACM DL) BibTeX
- Xuerui Wang, Chris Pal, Andrew McCallum:
Generalized component analysis for text with heterogeneous attributes.
794-803
Electronic Edition (ACM DL) BibTeX
- Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang:
Mining favorable facets.
804-813
Electronic Edition (ACM DL) BibTeX
- Junjie Wu, Hui Xiong, Peng Wu, Jian Chen:
Local decomposition for rare class analysis.
814-823
Electronic Edition (ACM DL) BibTeX
- Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J. Schweiger:
SCAN: a structural clustering algorithm for networks.
824-833
Electronic Edition (ACM DL) BibTeX
- Rong Yan, Jelena Tesic, John R. Smith:
Model-shared subspace boosting for multi-label classification.
834-843
Electronic Edition (ACM DL) BibTeX
- Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Chiu, Victor B. Zordan:
Detecting time series motifs under uniform scaling.
844-853
Electronic Edition (ACM DL) BibTeX
- Jieping Ye, Shuiwang Ji, Jianhui Chen:
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
854-863
Electronic Edition (ACM DL) BibTeX
- Junsong Yuan, Ying Wu, Ming Yang:
From frequent itemsets to semantically meaningful visual patterns.
864-873
Electronic Edition (ACM DL) BibTeX
- Xian Zhang, Yu Hao, Xiaoyan Zhu, Ming Li, David R. Cheriton:
Information distance from a question to an answer.
874-883
Electronic Edition (ACM DL) BibTeX
- Hongkun Zhao, Weiyi Meng, Clement T. Yu:
Mining templates from search result records of search engines.
884-893
Electronic Edition (ACM DL) BibTeX
- Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu:
Joint optimization of wrapper generation and template detection.
894-902
Electronic Edition (ACM DL) BibTeX
- Jun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon:
Webpage understanding: an integrated approach.
903-912
Electronic Edition (ACM DL) BibTeX
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
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Ming Hua, Jian Pei:
Cleaning disguised missing data: a heuristic approach.
950-958
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi:
Distributed classification in peer-to-peer networks.
968-976
Electronic Edition (ACM DL) BibTeX
- Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny:
High-quantile modeling for customer wallet estimation and other applications.
977-985
Electronic Edition (ACM DL) BibTeX
- Jun Hua Zhao, Zhao Yang Dong, Pei Zhang:
Mining complex power networks for blackout prevention.
986-994
Electronic Edition (ACM DL) BibTeX
- Shubin Zhao, Jonathan Betz:
Corroborate and learn facts from the web.
995-1003
Electronic Edition (ACM DL) BibTeX
- Guangyu Zhu, Timothy J. Bethea, Vikas Krishna:
Extracting relevant named entities for automated expense reimbursement.
1004-1012
Electronic Edition (ACM DL) BibTeX
Industrial and government track short papers
- Charu C. Aggarwal:
A framework for classification and segmentation of massive audio data streams.
1013-1017
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Wei Peng, Charles Perng, Tao Li, Haixun Wang:
Event summarization for system management.
1028-1032
Electronic Edition (ACM DL) BibTeX
- 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
Electronic Edition (ACM DL) BibTeX
- Robert J. Yan, Charles X. Ling:
Machine learning for stock selection.
1038-1042
Electronic Edition (ACM DL) BibTeX
- Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye:
IMDS: intelligent malware detection system.
1043-1047
Electronic Edition (ACM DL) BibTeX
- Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Truth discovery with multiple conflicting information providers on the web.
1048-1052
Electronic Edition (ACM DL) BibTeX
Panel
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Copyright © Sat Dec 22 20:15:33 2007
by Michael Ley (ley@uni-trier.de)