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12th KDD 2006: Philadelphia, PA, USA
- Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos:
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006. ACM 2006, ISBN 1-59593-339-5
Conference invited talks
- John A. Stankovic:
Self-Organizing wireless sensor networks in action. 1 - Andrew W. Moore:
New cached-sufficient statistics algorithms for quickly answering statistical questions. 2 - Rakesh Agrawal:
Next frontier. 3
Research track papers
- Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
:
Deriving quantitative models for correlation clusters. 4-13 - Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal:
Learning to rank networked entities. 14-23 - Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
Spatial scan statistics: approximations and performance study. 24-33 - Aris Anagnostopoulos
Global distance-based segmentation of trajectories. 34-43 - Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kleinberg, Xiangyang Lan:
Group formation in large social networks: membership, growth, and evolution. 44-54 - Daniel Barbará, Carlotta Domeniconi, James P. Rogers:
Detecting outliers using transduction and statistical testing. 55-64 - Christian Böhm, Christos Faloutsos
Robust information-theoretic clustering. 65-75 - Justin Brickell, Vitaly Shmatikov:
Efficient anonymity-preserving data collection. 76-85 - Gregory Buehrer, Srinivasan Parthasarathy
Out-of-core frequent pattern mining on a commodity PC. 86-95 - Toon Calders, Bart Goethals
Mining rank-correlated sets of numerical attributes. 96-105 - Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs. 106-115 - Jason V. Davis, Inderjit S. Dhillon:
Estimating the global pagerank of web communities. 116-125 - Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park:
Orthogonal nonnegative matrix t-factorizations for clustering. 126-135 - Wei Fan, Joe McCloskey, Philip S. Yu:
A general framework for accurate and fast regression by data summarization in random decision trees. 136-146 - Wei Fan, Ian Davidson:
Reverse testing: an efficient framework to select amongst classifiers under sample selection bias. 147-156 - George Forman:
Quantifying trends accurately despite classifier error and class imbalance. 157-166 - Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas
Assessing data mining results via swap randomization. 167-176 - Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita
A new efficient probabilistic model for mining labeled ordered trees. 177-186 - Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang:
Learning the unified kernel machines for classification. 187-196 - Tamás Horváth, Jan Ramon, Stefan Wrobel:
Frequent subgraph mining in outerplanar graphs. 197-206 - Alexander Ihler
Adaptive event detection with time-varying poisson processes. 207-216 - Thorsten Joachims:
Training linear SVMs in linear time. 217-226 - Yiping Ke
Mining quantitative correlated patterns using an information-theoretic approach. 227-236 - Arno J. Knobbe, Eric K. Y. Ho:
Maximally informative k-itemsets and their efficient discovery. 237-244 - Yehuda Koren, Stephen C. North, Chris Volinsky:
Measuring and extracting proximity in networks. 245-255 - Ravi Kumar, Kunal Punera, Andrew Tomkins:
Hierarchical topic segmentation of websites. 257-266 - Longin Jan Latecki
New EM derived from Kullback-Leibler divergence. 267-276 - Kristen LeFevre, David J. DeWitt, Raghu Ramakrishnan:
Workload-aware anonymization. 277-286 - Ping Li, Trevor Hastie, Kenneth Ward Church:
Very sparse random projections. 287-296 - Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao:
Rule interestingness analysis using OLAP operations. 297-306 - Elsa Loekito, James Bailey:
Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams. 307-316 - Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu:
Unsupervised learning on k-partite graphs. 317-326 - Michael W. Mahoney, Mauro Maggioni, Petros Drineas
Tensor-CUR decompositions for tensor-based data. 327-336 - Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai:
Generating semantic annotations for frequent patterns with context analysis. 337-346 - Taneli Mielikäinen, Evimaria Terzi, Panayiotis Tsaparas
Aggregating time partitions. 347-356 - Matthew J. Rattigan, Marc E. Maier, David D. Jensen:
Using structure indices for efficient approximation of network properties. 357-366 - Rómer Rosales, Glenn Fung:
Learning sparse metrics via linear programming. 367-373 - Jimeng Sun, Dacheng Tao, Christos Faloutsos
Beyond streams and graphs: dynamic tensor analysis. 374-383 - Lei Tang, Jianping Zhang, Huan Liu:
Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy. 384-393 - Yufei Tao
Mining distance-based outliers from large databases in any metric space. 394-403 - Hanghang Tong, Christos Faloutsos
Center-piece subgraphs: problem definition and fast solutions. 404-413 - Ke Wang, Benjamin C. M. Fung:
Anonymizing sequential releases. 414-423 - Xuerui Wang, Andrew McCallum:
Topics over time: a non-Markov continuous-time model of topical trends. 424-433 - Geoffrey I. Webb:
Discovering significant rules. 434-443 - Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han:
Extracting redundancy-aware top-k patterns. 444-453 - Jieping Ye, Tie Wang:
Regularized discriminant analysis for high dimensional, low sample size data. 454-463 - Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu:
Supervised probabilistic principal component analysis. 464-473 - Dell Zhang, Wee Sun Lee:
Extracting key-substring-group features for text classification. 474-483 - Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei-Ying Ma:
Event detection from evolution of click-through data. 484-493 - Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma:
Simultaneous record detection and attribute labeling in web data extraction. 494-503
Research track posters
- Naoki Abe, Bianca Zadrozny, John Langford:
Outlier detection by active learning. 504-509 - Charu C. Aggarwal, Jian Pei
On privacy preservation against adversarial data mining. 510-516 - Bavani Arunasalam, Sanjay Chawla:
CCCS: a top-down associative classifier for imbalanced class distribution. 517-522 - Tanya Y. Berger-Wolf
A framework for analysis of dynamic social networks. 523-528 - Indrajit Bhattacharya, Lise Getoor, Louis Licamele:
Query-time entity resolution. 529-534 - Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil:
Model compression. 535-541 - Robin D. Burke
Classification features for attack detection in collaborative recommender systems. 542-547 - Vitor R. Carvalho, William W. Cohen:
Single-pass online learning: performance, voting schemes and online feature selection. 548-553 - Deepayan Chakrabarti
Evolutionary clustering. 554-560 - Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen:
Algorithms for discovering bucket orders from data. 561-566 - Hongyu Guo, Herna L. Viktor:
Mining relational data through correlation-based multiple view validation. 567-573 - Tomoharu Iwata, Kazumi Saito, Takeshi Yamada:
Recommendation method for extending subscription periods. 574-579 - Wolfgang Jank, Galit Shmueli, Shanshan Wang:
Dynamic, real-time forecasting of online auctions via functional models. 580-585 - Szymon Jaroszewicz
Polynomial association rules with applications to logistic regression. 586-591 - Nan Jiang, Le Gruenwald:
CFI-Stream: mining closed frequent itemsets in data streams. 592-597 - Arnd Christian König, Eric Brill:
Reducing the human overhead in text categorization. 598-603 - Deept Kumar, Naren Ramakrishnan
Algorithms for storytelling. 604-610 - Ravi Kumar, Jasmine Novak, Andrew Tomkins:
Structure and evolution of online social networks. 611-617 - Sven Laur, Helger Lipmaa, Taneli Mielikäinen:
Cryptographically private support vector machines. 618-624 - Hady Wirawan Lauw
Bias and controversy: beyond the statistical deviation. 625-630 - Jure Leskovec, Christos Faloutsos
Sampling from large graphs. 631-636 - Jinze Liu, Qi Zhang, Wei Wang
Clustering pair-wise dissimilarity data into partially ordered sets. 637-642 - Dharmesh M. Maniyar, Ian T. Nabney
Visual data mining using principled projection algorithms and information visualization techniques. 643-648 - Qiaozhu Mei, ChengXiang Zhai:
A mixture model for contextual text mining. 649-655 - Srujana Merugu, Saharon Rosset, Claudia Perlich:
A new multi-view regression approach with an application to customer wallet estimation. 656-661 - Riadh Ben Messaoud, Omar Boussaid, Sabine Loudcher Rabaséda:
Efficient multidimensional data representations based on multiple correspondence analysis. 662-667 - Fabian Mörchen:
Algorithms for time series knowledge mining. 668-673 - J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty:
Clustering based large margin classification: a scalable approach using SOCP formulation. 674-679 - David Newman, Chaitanya Chemudugunta, Padhraic Smyth
Statistical entity-topic models. 680-686 - Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ran Wolff:
Mining for misconfigured machines in grid systems. 687-692 - 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 - Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste:
Naïve filterbots for robust cold-start recommendations. 699-705 - Myra Spiliopoulou, Irene Ntoutsi, Yannis Theodoridis, René Schult:
MONIC: modeling and monitoring cluster transitions. 706-711 - Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum:
Combining linguistic and statistical analysis to extract relations from web documents. 712-717 - Bin Tan, Xuehua Shen, ChengXiang Zhai:
Mining long-term search history to improve search accuracy. 718-723 - Ivor W. Tsang
Efficient kernel feature extraction for massive data sets. 724-729 - Chao Wang, Srinivasan Parthasarathy
Summarizing itemset patterns using probabilistic models. 730-735 - Haixun Wang, Jian Yin, Jian Pei
Suppressing model overfitting in mining concept-drifting data streams. 736-741 - Steve Wedig, Omid Madani:
A large-scale analysis of query logs for assessing personalization opportunities. 742-747 - Li Wei, Eamonn J. Keogh:
Semi-supervised time series classification. 748-753 - Raymond Chi-Wing Wong, Jiuyong Li
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. 754-759 - Gang Wu, Edward Y. Chang, Yen-Kuang Chen, Christopher J. Hughes
Incremental approximate matrix factorization for speeding up support vector machines. 760-766 - Mingxi Wu, Chris Jermaine:
Outlier detection by sampling with accuracy guarantees. 767-772 - Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han:
Discovering interesting patterns through user's interactive feedback. 773-778 - Hui Xiong, Junjie Wu, Jian Chen:
K-means clustering versus validation measures: a data distribution perspective. 779-784 - Jian Xu, Wei Wang, Jian Pei
Utility-based anonymization using local recoding. 785-790 - Illhoi Yoo, Xiaohua Hu, Il-Yeol Song:
Integration of semantic-based bipartite graph representation and mutual refinement strategy for biomedical literature clustering. 791-796 - Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
Coherent closed quasi-clique discovery from large dense graph databases. 797-802 - Minghua Zhang, Wynne Hsu, Mong-Li Lee:
Mining progressive confident rules. 803-808 - Sheng Zhang, Amit Chakrabarti, James Ford, Fillia Makedon:
Attack detection in time series for recommender systems. 809-814 - Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
Identifying bridging rules between conceptual clusters. 815-820 - Tong Zhang, Alexandrin Popescul, Byron Dom:
Linear prediction models with graph regularization for web-page categorization. 821-826 - Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishnan:
BLOSOM: a framework for mining arbitrary boolean expressions. 827-832
Industrial and government applications track invited talks
- Jeff Jonas:
Introducing perpetual analytics. 833 - William Kahn:
Capital One's statistical problems: our top ten list. 834 - Andrew McCallum:
Information extraction, data mining and joint inference. 835 - Michael Cavaretta:
Data mining challenges in the automotive domain. 836
Industrial and government applications track papers
- 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 - 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 - George Forman, Evan Kirshenbaum, Jaap Suermondt:
Pragmatic text mining: minimizing human effort to quantify many issues in call logs. 852-861 - Seth Hettich, Michael J. Pazzani:
Mining for proposal reviewers: lessons learned at the national science foundation. 862-871 - Chao Liu, Chen Chen, Jiawei Han, Philip S. Yu:
GPLAG: detection of software plagiarism by program dependence graph analysis. 872-881 - Fabian Mörchen, Ingo Mierswa, Alfred Ultsch:
Understandable models Of music collections based on exhaustive feature generation with temporal statistics. 882-891 - Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao:
Opportunity map: identifying causes of failure - a deployed data mining system. 892-901
Industrial and government applications track posters
- Eugene Agichtein, Zijian Zheng:
Identifying "best bet" web search results by mining past user behavior. 902-908 - 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 - Julien Etienne, Bernd Wachmann, Lei Zhang:
A component-based framework for knowledge discovery in bioinformatics. 916-921 - Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones:
Discovering significant OPSM subspace clusters in massive gene expression data. 922-928 - Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji:
Maximum profit mining and its application in software development. 929-934 - Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler:
YALE: rapid prototyping for complex data mining tasks. 935-940 - Sankar Virdhagriswaran, Gordon Dakin:
Camouflaged fraud detection in domains with complex relationships. 941-947 - Lian Yan, Patrick Baldasare:
Beyond classification and ranking: constrained optimization of the ROI. 948-953
Panel
- 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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