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Videos
SIGMOD '07
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This DVD contains the proceedings of the
Twelfth ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (SIGKDD 2006),
which was held from August 20-23, 2006 in Philadelphia, Pennsylvania.
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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John A. Stankovic
Self-Organizing wireless sensor networks in action 1
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Andrew Moore
New cached-sufficient statistics algorithms for quickly answering statistical questions 2
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Rakesh Agrawal
Next frontier 3
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Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
Deriving quantitative models for correlation clusters 4-13
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Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
Learning to rank networked entities 14-23
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Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
Spatial scan statistics: approximations and performance study 24-33
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Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu
Global distance-based segmentation of trajectories 34-43
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Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kleinberg, Xiangyang Lan
Group formation in large social networks: membership, growth, and evolution 44-54
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Daniel Barbará, Carlotta Domeniconi, James P. Rogers
Detecting outliers using transduction and statistical testing 55-64
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Christian Böhm, Christos Faloutsos, Jia-Yu Pan, Claudia Plant
Robust information-theoretic clustering 65-75
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Justin Brickell, Vitaly Shmatikov
Efficient anonymity-preserving data collection 76-85
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Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting
Out-of-core frequent pattern mining on a commodity PC 86-95
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Toon Calders, Bart Goethals, Szymon Jaroszewicz
Mining rank-correlated sets of numerical attributes 96-105
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Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs 106-115
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Jason V. Davis, Inderjit S. Dhillon
Estimating the global pagerank of web communities 116-125
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Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park
Orthogonal nonnegative matrix t-factorizations for clustering 126-135
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Wei Fan, Joe McCloskey, Philip S. Yu
A general framework for accurate and fast regression by data summarization in random decision trees 136-146
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Wei Fan, Ian Davidson
Reverse testing: an efficient framework to select amongst classifiers under sample selection bias 147-156
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George Forman
Quantifying trends accurately despite classifier error and class imbalance 157-166
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Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas
Assessing data mining results via swap randomization 167-176
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Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka
A new efficient probabilistic model for mining labeled ordered trees 177-186
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Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
Learning the unified kernel machines for classification 187-196
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Tamás Horváth, Jan Ramon, Stefan Wrobel
Frequent subgraph mining in outerplanar graphs 197-206
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Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
Adaptive event detection with time-varying poisson processes 207-216
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Thorsten Joachims
Training linear SVMs in linear time 217-226
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Yiping Ke, James Cheng, Wilfred Ng
Mining quantitative correlated patterns using an information-theoretic approach 227-236
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Arno J. Knobbe, Eric K. Y. Ho
Maximally informative k-itemsets and their efficient discovery 237-244
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Yehuda Koren, Stephen C. North, Chris Volinsky
Measuring and extracting proximity in networks 245-255
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Ravi Kumar, Kunal Punera, Andrew Tomkins
Hierarchical topic segmentation of websites 257-266
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Longin Jan Latecki, Marc Sobel, Rolf Lakämper
New EM derived from Kullback-Leibler divergence 267-276
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Kristen LeFevre, David J. DeWitt, Raghu Ramakrishnan
Workload-aware anonymization 277-286
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Ping Li, Trevor Hastie, Kenneth Ward Church
Very sparse random projections 287-296
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Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao
Rule interestingness analysis using OLAP operations 297-306
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Elsa Loekito, James Bailey
Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams 307-316
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Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu
Unsupervised learning on k-partite graphs 317-326
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Michael W. Mahoney, Mauro Maggioni, Petros Drineas
Tensor-CUR decompositions for tensor-based data 327-336
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Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai
Generating semantic annotations for frequent patterns with context analysis 337-346
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Taneli Mielikäinen, Evimaria Terzi, Panayiotis Tsaparas
Aggregating time partitions 347-356
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Matthew J. Rattigan, Marc Maier, David Jensen
Using structure indices for efficient approximation of network properties 357-366
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Rómer Rosales, Glenn Fung
Learning sparse metrics via linear programming 367-373
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Jimeng Sun, Dacheng Tao, Christos Faloutsos
Beyond streams and graphs: dynamic tensor analysis 374-383
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Lei Tang, Jianping Zhang, Huan Liu
Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy 384-393
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Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
Mining distance-based outliers from large databases in any metric space 394-403
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Hanghang Tong, Christos Faloutsos
Center-piece subgraphs: problem definition and fast solutions 404-413
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Ke Wang, Benjamin C. M. Fung
Anonymizing sequential releases 414-423
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Xuerui Wang, Andrew McCallum
Topics over time: a non-Markov continuous-time model of topical trends 424-433
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Geoffrey I. Webb
Discovering significant rules 434-443
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Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
Extracting redundancy-aware top-k patterns 444-453
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Jieping Ye, Tie Wang
Regularized discriminant analysis for high dimensional, low sample size data 454-463
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Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu
Supervised probabilistic principal component analysis 464-473
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Dell Zhang, Wee Sun Lee
Extracting key-substring-group features for text classification 474-483
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Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei-Ying Ma
Event detection from evolution of click-through data 484-493
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Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma
Simultaneous record detection and attribute labeling in web data extraction 494-503
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Naoki Abe, Bianca Zadrozny, John Langford
Outlier detection by active learning 504-509
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Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
On privacy preservation against adversarial data mining 510-516
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Bavani Arunasalam, Sanjay Chawla
CCCS: a top-down associative classifier for imbalanced class distribution 517-522
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Tanya Y. Berger-Wolf, Jared Saia
A framework for analysis of dynamic social networks 523-528
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Indrajit Bhattacharya, Lise Getoor, Louis Licamele
Query-time entity resolution 529-534
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Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil
Model compression 535-541
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Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
Classification features for attack detection in collaborative recommender systems 542-547
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Vitor R. Carvalho, William W. Cohen
Single-pass online learning: performance, voting schemes and online feature selection 548-553
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Deepayan Chakrabarti, Ravi Kumar, Andrew Tomkins
Evolutionary clustering 554-560
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Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen
Algorithms for discovering bucket orders from data 561-566
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Hongyu Guo, Herna L. Viktor
Mining relational data through correlation-based multiple view validation 567-573
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Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
Recommendation method for extending subscription periods 574-579
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Wolfgang Jank, Galit Shmueli, Shanshan Wang
Dynamic, real-time forecasting of online auctions via functional models 580-585
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Szymon Jaroszewicz
Polynomial association rules with applications to logistic regression 586-591
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Nan Jiang, Le Gruenwald
CFI-Stream: mining closed frequent itemsets in data streams 592-597
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Arnd Christian König, Eric Brill
Reducing the human overhead in text categorization 598-603
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Deept Kumar, Naren Ramakrishnan, Richard F. Helm, Malcolm Potts
Algorithms for storytelling 604-610
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Ravi Kumar, Jasmine Novak, Andrew Tomkins
Structure and evolution of online social networks 611-617
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Sven Laur, Helger Lipmaa, Taneli Mielikäinen
Cryptographically private support vector machines 618-624
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Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
Bias and controversy: beyond the statistical deviation 625-630
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Jure Leskovec, Christos Faloutsos
Sampling from large graphs 631-636
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Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins
Clustering pair-wise dissimilarity data into partially ordered sets 637-642
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Dharmesh M. Maniyar, Ian T. Nabney
Visual data mining using principled projection algorithms and information visualization techniques 643-648
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Qiaozhu Mei, ChengXiang Zhai
A mixture model for contextual text mining 649-655
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Srujana Merugu, Saharon Rosset, Claudia Perlich
A new multi-view regression approach with an application to customer wallet estimation 656-661
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Riadh Ben Messaoud, Omar Boussaid, Sabine Loudcher Rabaséda
Efficient multidimensional data representations based on multiple correspondence analysis 662-667
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Fabian Mörchen
Algorithms for time series knowledge mining 668-673
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J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
Clustering based large margin classification: a scalable approach using SOCP formulation 674-679
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David Newman, Chaitanya Chemudugunta, Padhraic Smyth
Statistical entity-topic models 680-686
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Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ran Wolff
Mining for misconfigured machines in grid systems 687-692
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Jia-Yu Pan, André G. R. Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos
Automatic mining of fruit fly embryo images 693-698
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Seung-Taek Park, David Pennock, Omid Madani, Nathan Good, Dennis DeCoste
Naïve filterbots for robust cold-start recommendations 699-705
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Myra Spiliopoulou, Irene Ntoutsi, Yannis Theodoridis, Rene Schult
MONIC: modeling and monitoring cluster transitions 706-711
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Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum
Combining linguistic and statistical analysis to extract relations from web documents 712-717
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Bin Tan, Xuehua Shen, ChengXiang Zhai
Mining long-term search history to improve search accuracy 718-723
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Ivor W. Tsang, András Kocsor, James T. Kwok
Efficient kernel feature extraction for massive data sets 724-729
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Chao Wang, Srinivasan Parthasarathy
Summarizing itemset patterns using probabilistic models 730-735
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Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jeffrey Xu Yu
Suppressing model overfitting in mining concept-drifting data streams 736-741
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Steve Wedig, Omid Madani
A large-scale analysis of query logs for assessing personalization opportunities 742-747
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Li Wei, Eamonn J. Keogh
Semi-supervised time series classification 748-753
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Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing 754-759
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Gang Wu, Edward Y. Chang, Yen-Kuang Chen, Christoper Hughes
Incremental approximate matrix factorization for speeding up support vector machines 760-766
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Mingxi Wu, Chris Jermaine
Outlier detection by sampling with accuracy guarantees 767-772
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Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
Discovering interesting patterns through user's interactive feedback 773-778
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Hui Xiong, Junjie Wu, Jian Chen
K-means clustering versus validation measures: a data distribution perspective 779-784
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Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu
Utility-based anonymization using local recoding 785-790
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Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
Integration of semantic-based bipartite graph representation and mutual refinement strategy for biomedical literature clustering 791-796
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Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
Coherent closed quasi-clique discovery from large dense graph databases 797-802
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Minghua Zhang, Wynne Hsu, Mong-Li Lee
Mining progressive confident rules 803-808
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Sheng Zhang, Amit Chakrabarti, James Ford, Fillia Makedon
Attack detection in time series for recommender systems 809-814
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Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
Identifying bridging rules between conceptual clusters 815-820
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Tong Zhang, Alexandrin Popescul, Byron Dom
Linear prediction models with graph regularization for web-page categorization 821-826
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Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishnan
BLOSOM: a framework for mining arbitrary boolean expressions 827-832
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Jeff Jonas
Introducing perpetual analytics 833
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William Kahn
Capital One's statistical problems: our top ten list 834
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Andrew McCallum
Information extraction, data mining and joint inference 835
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Michael Cavaretta
Data mining challenges in the automotive domain 836
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Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers 837-844
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Rebecca Castaño, Dominic Mazzoni, Nghia Tang, Ronald Greeley, Thomas Doggett, Benjamin Cichy, Steve A. Chien, Ashley Davies
Onboard classifiers for science event detection on a remote sensing spacecraft 845-851
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George Forman, Evan Kirshenbaum, Jaap Suermondt
Pragmatic text mining: minimizing human effort to quantify many issues in call logs 852-861
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Seth Hettich, Michael J. Pazzani
Mining for proposal reviewers: lessons learned at the national science foundation 862-871
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Chao Liu, Chen Chen, Jiawei Han, Philip S. Yu
GPLAG: detection of software plagiarism by program dependence graph analysis 872-881
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Fabian Mörchen, Ingo Mierswa, Alfred Ultsch
Understandable models Of music collections based on exhaustive feature generation with temporal statistics 882-891
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Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao
Opportunity map: identifying causes of failure - a deployed data mining system 892-901
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Eugene Agichtein, Zijian Zheng
Identifying "best bet" web search results by mining past user behavior 902-908
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Rich Caruana, Mohamed Farid Elhawary, Art Munson, Mirek Riedewald, Daria Sorokina, Daniel Fink, Wesley M. Hochachka, Steve Kelling
Mining citizen science data to predict orevalence of wild bird species 909-915
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Julien Etienne, Bernd Wachmann, Lei Zhang
A component-based framework for knowledge discovery in bioinformatics 916-921
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Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones
Discovering significant OPSM subspace clusters in massive gene expression data 922-928
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Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
Maximum profit mining and its application in software development 929-934
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Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler
YALE: rapid prototyping for complex data mining tasks 935-940
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Sankar Virdhagriswaran, Gordon Dakin
Camouflaged fraud detection in domains with complex relationships 941-947
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Lian Yan, Patrick Baldasare
Beyond classification and ranking: constrained optimization of the ROI 948-953
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Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Javeed Zaki
Is there a grand challenge or X-prize for data mining? 954-956
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Copyright ©2010 Association for Computing Machinery
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