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10th KDD 2004: Seattle, WA, USA
- Won Kim, Ron Kohavi, Johannes Gehrke, William DuMouchel:
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004. ACM 2004, ISBN 1-58113-888-1 - Eric Haseltine:
User-centered design for KDD. 1 - David Heckerman:
Graphical models for data mining. 2
Research track papers
- Naoki Abe, Bianca Zadrozny, John Langford:
An iterative method for multi-class cost-sensitive learning. 3-11 - Foto N. Afrati, Aristides Gionis, Heikki Mannila:
Approximating a collection of frequent sets. 12-19 - Eugene Agichtein, Venkatesh Ganti:
Mining reference tables for automatic text segmentation. 20-29 - Edoardo M. Airoldi
, Christos Faloutsos
Recovering latent time-series from their observed sums: network tomography with particle filters. 30-39 - Brigham S. Anderson, Andrew W. Moore, Andrew J. Connolly
Fast nonlinear regression via eigenimages applied to galactic morphology. 40-48 - Anthony J. Bagnall, Gareth J. Janacek:
Clustering time series from ARMA models with clipped data. 49-58 - Sugato Basu, Mikhail Bilenko, Raymond J. Mooney:
A probabilistic framework for semi-supervised clustering. 59-68 - Rich Caruana, Alexandru Niculescu-Mizil:
Data mining in metric space: an empirical analysis of supervised learning performance criteria. 69-78 - Deepayan Chakrabarti
Fully automatic cross-associations. 79-88 - William W. Cohen, Sunita Sarawagi:
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. 89-98 - Nilesh N. Dalvi, Pedro M. Domingos, Mausam, Sumit K. Sanghai, Deepak Verma:
Adversarial classification. 99-108 - Theodoros Evgeniou, Massimiliano Pontil:
Regularized multi--task learning. 109-117 - Christos Faloutsos
Fast discovery of connection subgraphs. 118-127 - Wei Fan:
Systematic data selection to mine concept-drifting data streams. 128-137 - Krishna Gade, Jianyong Wang, George Karypis
Efficient closed pattern mining in the presence of tough block constraints. 138-147 - Bin He, Kevin Chen-Chuan Chang, Jiawei Han:
Discovering complex matchings across web query interfaces: a correlation mining approach. 148-157 - Tamás Horváth, Thomas Gärtner
Cyclic pattern kernels for predictive graph mining. 158-167 - Minqing Hu, Bing Liu:
Mining and summarizing customer reviews. 168-177 - Szymon Jaroszewicz
Interestingness of frequent itemsets using Bayesian networks as background knowledge. 178-186 - Glen Jeh, Jennifer Widom:
Mining the space of graph properties. 187-196 - Xin Jin, Yanzan Zhou, Bamshad Mobasher
Web usage mining based on probabilistic latent semantic analysis. 197-205 - Eamonn J. Keogh, Stefano Lonardi
Towards parameter-free data mining. 206-215 - Ravi Kumar, Uma Mahadevan, D. Sivakumar:
A graph-theoretic approach to extract storylines from search results. 216-225 - Cuiping Li, Gao Cong, Anthony K. H. Tung
Incremental maintenance of quotient cube for median. 226-235 - Nikos Mamoulis, Huiping Cao
Mining, indexing, and querying historical spatiotemporal data. 236-245 - Ion Muslea:
Machine learning for online query relaxation. 246-255 - Daniel B. Neill
Rapid detection of significant spatial clusters. 256-265 - Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard F. Helm:
Turning CARTwheels: an alternating algorithm for mining redescriptions. 266-275 - Jude W. Shavlik, Mark Shavlik:
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage. 276-285 - Andrew T. Smith, Charles Elkan:
A Bayesian network framework for reject inference. 286-295 - Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar:
Support envelopes: a technique for exploring the structure of association patterns. 296-305 - Mark Steyvers, Padhraic Smyth
Probabilistic author-topic models for information discovery. 306-315 - Chen Wang, Wei Wang, Jian Pei
Scalable mining of large disk-based graph databases. 316-325 - Xiaoyun Wu, Rohini K. Srihari:
Incorporating prior knowledge with weighted margin support vector machines. 326-333 - Hui Xiong, Shashi Shekhar, Pang-Ning Tan
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. 334-343 - Guizhen Yang:
The complexity of mining maximal frequent itemsets and maximal frequent patterns. 344-353 - Jieping Ye, Ravi Janardan, Qi Li:
GPCA: an efficient dimension reduction scheme for image compression and retrieval. 354-363 - Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar:
IDR/QR: an incremental dimension reduction algorithm via QR decomposition. 364-373 - Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin:
On the discovery of significant statistical quantitative rules. 374-383 - Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao Shou:
Fast mining of spatial collocations. 384-393
Industry/government track papers
- Kamal Ali, Wijnand van Stam:
TiVo: making show recommendations using a distributed collaborative filtering architecture. 394-401 - Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko Krema:
Predicting customer shopping lists from point-of-sale purchase data. 402-409 - Lin Deng, Jian Pei
A rank sum test method for informative gene discovery. 410-419 - Steve Donoho:
Early detection of insider trading in option markets. 420-429 - Daxin Jiang
Mining coherent gene clusters from gene-sample-time microarray data. 430-439 - Tsuyoshi Idé
Eigenspace-based anomaly detection in computer systems. 440-449 - Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath:
Effective localized regression for damage detection in large complex mechanical structures. 450-459 - Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom:
Visually mining and monitoring massive time series. 460-469 - Jeremy Z. Kolter, Marcus A. Maloof:
Learning to detect malicious executables in the wild. 470-478 - Lian Yan, David Verbel, Olivier Saidi:
Predicting prostate cancer recurrence via maximizing the concordance index. 479-485 - Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki:
Density-based spam detector. 486-493 - Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
V-Miner: using enhanced parallel coordinates to mine product design and test data. 494-502
Research track posters
- Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
On demand classification of data streams. 503-508 - Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation. 509-514 - Arindam Banerjee, John Langford:
An objective evaluation criterion for clustering. 515-520 - Jinbo Bi, Tong Zhang, Kristin P. Bennett:
Column-generation boosting methods for mixture of kernels. 521-526 - Hong Cheng, Xifeng Yan, Jiawei Han:
IncSpan: incremental mining of sequential patterns in large database. 527-532 - James Chilson, Raymond T. Ng, Alan Wagner, Ruben H. Zamar:
Parallel computation of high dimensional robust correlation and covariance matrices. 533-538 - Kaustav Das, Andrew W. Moore, Jeff G. Schneider:
Belief state approaches to signaling alarms in surveillance systems. 539-544 - Ian Davidson, Goutam Paul:
Locating secret messages in images. 545-550 - Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis:
Kernel k-means: spectral clustering and normalized cuts. 551-556 - Martin Ester, Rong Ge, Wen Jin, Zengjian Hu:
A microeconomic data mining problem: customer-oriented catalog segmentation. 557-562 - Bobi Gilburd, Assaf Schuster, Ran Wolff:
k-TTP: a new privacy model for large-scale distributed environments. 563-568 - Giles Hooker:
Diagnosing extrapolation: tree-based density estimation. 569-574 - Giles Hooker:
Discovering additive structure in black box functions. 575-580 - Jun Huan, Wei Wang, Jan F. Prins, Jiong Yang:
SPIN: mining maximal frequent subgraphs from graph databases. 581-586 - Vijay S. Iyengar:
On detecting space-time clusters. 587-592 - David D. Jensen
Why collective inference improves relational classification. 593-598 - Murat Kantarcioglu, Jiashun Jin, Chris Clifton:
When do data mining results violate privacy? 599-604 - Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector:
Improved robustness of signature-based near-replica detection via lexicon randomization. 605-610 - Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agrawal:
Learning spatially variant dissimilarity (SVaD) measures. 611-616 - Yifan Li, Jiawei Han, Jiong Yang:
Clustering moving objects. 617-622 - Jinze Liu, Wei Wang
A framework for ontology-driven subspace clustering. 623-628 - Ting Liu, Ke Yang, Andrew W. Moore:
The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data. 629-634 - Avraham A. Melkman, Eran Shaham:
Sleeved coclustering. 635-640 - Apostol Natsev, Milind R. Naphade, John R. Smith:
Semantic representation: search and mining of multimedia content. 641-646 - Siegfried Nijssen
A quickstart in frequent structure mining can make a difference. 647-652 - Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos
Automatic multimedia cross-modal correlation discovery. 653-658 - David Poole:
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach. 659-664 - Alexandrin Popescul, Lyle H. Ungar:
Cluster-based concept invention for statistical relational learning. 665-670 - Paat Rusmevichientong, Shenghuo Zhu, David Selinger:
Identifying early buyers from purchase data. 671-677 - Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter:
Privacy preserving regression modelling via distributed computation. 677-682 - Jouni K. Seppänen, Heikki Mannila:
Dense itemsets. 683-688 - Michael S. Steinbach
Generalizing the notion of support. 689-694 - Pang-Ning Tan
Ordering patterns by combining opinions from multiple sources. 695-700 - Peter Tiño, Ata Kabán, Yi Sun:
A generative probabilistic approach to visualizing sets of symbolic sequences. 701-706 - Michail Vlachos
Rotation invariant distance measures for trajectories. 707-712 - Rebecca N. Wright, Zhiqiang Yang:
Privacy-preserving Bayesian network structure computation on distributed heterogeneous data. 713-718 - Andrew Y. Wu, Michael Garland, Jiawei Han:
Mining scale-free networks using geodesic clustering. 719-724 - Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma, QianSheng Cheng:
IMMC: incremental maximum margin criterion. 725-730 - Liang Huai Yang, Mong-Li Lee, Wynne Hsu, Xinyu Guo:
2PXMiner: an efficient two pass mining of frequent XML query patterns. 731-736 - Lei Yu, Huan Liu:
Redundancy based feature selection for microarray data. 737-742 - ChengXiang Zhai, Atulya Velivelli, Bei Yu:
A cross-collection mixture model for comparative text mining. 743-748 - Ruofei Zhang
A data mining approach to modeling relationships among categories in image collection. 749-754 - Zhiqiang (Eric) Zheng, Balaji Padmanabhan, Haoqiang Zheng:
A DEA approach for model combination. 755-760 - Michael Yu Zhu, Lei Liu:
Optimal randomization for privacy preserving data mining. 761-766
Industry/government track posters
- Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko:
Cross channel optimized marketing by reinforcement learning. 767-772 - Selim Aksoy, Krzysztof Koperski, Carsten Tusk, Giovanni B. Marchisio:
Interactive training of advanced classifiers for mining remote sensing image archives. 773-782 - Christian Borgs
Exploring the community structure of newsgroups. 783-787 - Erick Cantú-Paz, Shawn D. Newsam
Feature selection in scientific applications. 788-793 - Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi:
A general approach to incorporate data quality matrices into data mining algorithms. 794-798 - Nicolás de Abajo, Alberto B. Diez, Vanesa Lobato, Sergio R. Cuesta:
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study. 799-804 - Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong:
A system for automated mapping of bill-of-materials part numbers. 805-810 - Satoshi Morinaga, Kenji Yamanishi:
Tracking dynamics of topic trends using a finite mixture model. 811-816 - Takayuki Nakata, Jun'ichi Takeuchi:
Mining traffic data from probe-car system for travel time prediction. 817-822 - Carlos Ordonez:
Programming the K-means clustering algorithm in SQL. 823-828 - Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh:
Document preprocessing for naive Bayes classification and clustering with mixture of multinomials. 829-834 - Young Truong, Xiaodong Lin, Chris Beecher:
Learning a complex metabolomic dataset using random forests and support vector machines. 835-840 - David S. Vogel, Morgan C. Wang:
1-dimensional splines as building blocks for improving accuracy of risk outcomes models. 841-846 - Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan:
Analytical view of business data. 847-852
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