Below is the list of KDD-2004 accepted papers http://www.acm.org/sigkdd/kdd2004/program/papers/
(1) RESEARCH TRACK ACCEPTED PAPERS (A) FULL PAPERS Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge Authors: Szymon Jaroszewicz, Dan Simovici Rapid Detection of Significant Spatial Clusters Authors: Daniel Neill, Andrew Moore Clustering time series from ARMA models with clipped data Authors: Anthony Bagnall, Garath Janacek Mining the Space of Graph Properties Authors: Glen Jeh, Jennifer Widom Fast Discovery of 'Connection Subgraphs' Authors: Christos Faloutsos, Kevin McCurley, Andrew Tomkins Regularized Multi-Task Learning Authors: Theodoros Evgeniou, Massimiliano Pontil Systematic Data Selection to Mine Concept-drifting Data Streams Authors: Wei Fan Cyclic Pattern Kernels for Predictive Graph Mining Authors: Tamas Horvath, Thomas Gaertner, Stefan Wrobel Incorporating Prior Knowledge with Weighted Margin Support Vector Machines Authors: Xiaoyun Wu, Rohini Srihari Mining and Summarizing Customer Reviews Authors: Minqing Hu, Bing Liu Discovering Complex Matchings across Web Query Interfaces: A Correlation Mining Approach Authors: Bin He, Kevin Chang, Jiawei Han Support Envelopes: A Technique for Exploring the Structure of Association Patterns Authors: Michael Steinbach, Pang-Ning Tan, Vipin Kumar Towards Parameter-Free Data Mining Authors: Eamonn Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana Selection, Combination, and Evaluation of Effective Software Sensors for Detecting Abnormal Computer Usage Authors: Jude Shavlik, Mark Shavlik Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions Authors: Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard Helm The Complexity of Mining Maximal Frequent Itemsets and Maximal Frequent Patterns Authors: Guizhen Yang Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs Authors: Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar Fully Automatic Cross-Assocations Authors: Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra Modha, Christos Faloutsos Adversarial Classification Authors: Nilesh Dalvi, Pedro Domingos, Mausam Mausam, Sumit Sanghai, Deepak Verma GPCA: An Efficient Dimension Reduction Scheme for Image Compression and Retrieval Authors: Jieping Ye, Ravi Janardan, Qi Li IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition Authors: Jieping Ye, Qi Li, Hui Xiong, Park Haesun, Ravi Janardan, Vipin Kumar Recovering Latent Time-Series from their Observed Sums: Network Tomography with Particle Filters Authors: Edoardo Airoldi, Christos Faloutsos Mining, Indexing, and Querying Historical Spatiotemporal Data Authors: Nikos Mamoulis, Huping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, David W. L. Cheung Web Usage Mining Based on Probabilistic Latent Semantic Analysis Authors: Xin Jin, Yanzan Zhou, Bamshad Mobasher Fast Mining of Spatial Collocations Authors: Xin Zhang, Nikos Mamoulis, David W. L. Cheung, Yutao Shou Incremental Maintenance of Quotient Cube for Median Authors: Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang A Graph-Theoretic Approach to Extract Storylines from Search Results Authors: Ravi Kumar, Uma Mahadevan, D. Sivakumar Probabilistic Author-Topic Models for Information Discovery Authors: Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths Mining Reference Tables for Automatic Text Segmentation Authors: Eugene Agichtein, Venkatesh Ganti On the Discovery of Significant Statistical Quantitative Rules Authors: Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin Approximating a Collection of Frequent Sets Authors: Foto Afrati, Aristides Gionis, Heikki Mannila Online Data Mining for Query Relaxation Authors: Ion Muslea A Probabilistic Framework for Semi-Supervised Clustering Authors: Sugato Basu, Mikhail Bilenko, Raymond Mooney Efficient Closed Pattern Mining in the Presence of Tough Block Constraints Authors: Krishna Gade, Jianyong Wang, George Karypis Exploiting Dictionaries in Named Entity Extraction: Combining SemiMarkov Extraction Processes and Data Integration Methods Authors: William Cohen, Sunita Sarawagi Scalable Mining Large Disk-Based Graph Databases Authors: Chen Wang, Wei Wang, Jian Pei, Yongtai Zhu, Baile Shi A Bayesian Network Framework for Reject Inference Authors: Andrew Smith, Charles Elkan An Iterative Method for Multi-Class Cost-Sensitive Learning Authors: Naoki Abe, Bianca Zadrozny ata Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria Authors: Richard Caruana, Alex Niculescu-Mizil Fast Galactic Morphology via Eigenimages Authors: Brigham Anderson, Andrew Moore, Andrew Connolly, Bob Nichol (B) POSTER PAPERS Extending the Notion of Support Authors: Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar When Do Data Mining Results Violate Privacy? Authors: Murat Kantarcioglu, Jiashun Jin, Chris Clifton A generative probabilistic approach to visualizing sets of symbolic sequences Authors: Peter Tino, Ata Kaban, Yi Sun An Alpha-Semantics Graph Based Data Mining Approach to Retrieving Image Database Authors: Ruofei Zhang, Zhongfei (Mark) Zhang Sleeved coClustering Authors: Avraham Melkman, Eran Shaham Discovering Additive Structure in Black Box Functions Authors: Giles Hooker A New Privacy Model and Association-Rule Mining Algorithm for Large-Scale Distributed Environments Authors: Bobi Gilburd, Assaf Schuster, Ran Wolff The IOC algorithm: Efficient Many-Class Non-parametric Classification for High-Dimensional Data Authors: Ting Liu, Ke Yang, Andrew Moore Visualization for Classification Problems, with Examples Using Support Vector Machines Authors: Dianne Cooke, Doina Caragea, Vasant Honavar IMMC: Incremental Maximum Margin Criterion Authors: Jun Yang, Benyu Zhang, Shuicheng Yan, Zheng Chan, Fan Weiguo, Qiang Yang, Ma Wei-Ying, Qiansheng Cheng On Demand Classification of Data Streams Authors: Charu Aggarwal, Jiawei Han, Jianyong Wang, Philip Yu Dense Itemsets Authors: Jouni K. Sepp�n, Heikki Mannila 2PXMiner - Efficient Mining of Frequent XML Query Patterns with Repeated Siblings Authors: Liang-Huai Yang, Mong Li Lee, Wynne Hsu On Detecting Space-Time Clusters Authors: Vijay Iyengar Cluster-based Concept Invention for Statistical Relational Learning Authors: Alexandrin Popescul, Lyle Ungar Mining Scale-free Networks using Geodesic Clustering Authors: Andrew Wu, Michael Garland, Jiawei Han Privacy-Preserving Bayesian Network Structure Computation on Distributed Heterogeneous Data Authors: Rebecca Wright, Zhiqiang Yang Parallel Computation of High Dimensional Robust Correlation and Covariance Matrices Authors: Alan Wagner, James Chilson, Raymond Ng, Ruben Zamar Automatic Multimedia Cross-modal Correlation Discovery Authors: Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, Pinar Duygulu Locating Secret Messages in Images Authors: Ian Davidson, Goutam Paul Diagnosing Extrapolation: Tree-Based Density Estimation Authors: Giles Hooker IncSpan: Incremental Mining of Sequential Patterns in Large Database Authors: Hong Cheng, Xifeng Yan, Jiawei Han Identifying Early Buyers from Purchase Data Authors: Paat Rusmevichientong, Shenghuo Zhu, David Selinger Optimal Randomization for Privacy Preserving Data Mining Authors: Yu Zhu, Lei Liu A DEA Approach for Model Combination Authors: Eric Zheng, Balaji Padamanabhan Learning Spatially Variant Dissimilarity (SVaD) Measures Authors: Krishna Kummamuru, Raghu Krishnapuram, Rekesh Agrawal Ordering Patterns by Combining Opinions from Multiple Sources Authors: Pang-Ning Tan, Rong Jin Semantic Representation, Search and Mining of Multimedia Content Authors: Apostol Natsev, Milind Naphade, John R. Smith SPIN: Mining Maximal Frequent Subgraphs from Graph Databases Authors: Jun Huan, Wei Wang, Jan Prins, Jiong Yang An Objective Evaluation Criterion for Clustering Authors: Arindam Banerjee, John Langford Clustering Moving Objects Authors: Yifan Li, Jiawei Han, Jiong Yang Rotation Invariant Measures for Trajectories Authors: Michail Vlachos, Dimitrios Gunopulos, Gautam Das A Framework for Ontology-Driven Subspace Clustering Authors: Jinze Liu, Wei Wang, Jiong Yang A Quickstart in Frequent Structure Mining can make a difference Authors: Siegfried Nijssen, Joost N. Kok Why Collective Inference Improves Relational Classification Authors: David Jensen, Jennifer Neville, Brian Gallagher Privacy Preserving Regression Modelling via Distributed Computation Authors: Ashish Sanil, Alan Karr, Xiaodong Lin, Jerome Reiter Column-Generation Boosting Methods for Mixture of Kernels Authors: Jinbo Bi, Tong Zhang, Kristin Bennett Redundancy Based Feature Selection for Microarray Data Authors: Lei Yu, Huan Liu Improved robustness of signature-based near-replica detection via lexicon randomization Authors: Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector Estimating the Size of the Telephone Universe: A Bayesian Mark-Recapture Approach Authors: David Poole Belief State Approaches to Signaling Alarms in Surveillance Systems Authors: Kaustav Das, Jeff Schneider A Unified View of Kernel k-means, Spectral Clustering and Graph Cuts Authors: Brian Kulis, Yuqiang Guan, Inderjit Dhillon A Cross-Collection Mixture Model for Comparative Text Mining Authors: ChangXiang Zhai, Atulya Velivelli, Bei Yu A Microeconomic Data Mining Problem: Customer-Oriented Catalog Segmentation Authors: Martin Ester, Rong Ge, Wen Jin, Zengjian Hu A Generalized Maximum Entropy Approach to Bregman Co-clusteringand Matrix Approximation Authors: Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra Modha (2) INDUSTRIAL TRACK ACCEPTED PAPERS (A) FULL PAPERS TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture Authors: Kamal Ali, Wijnand Van Stam V-Miner: Using Enhanced Parallel Coordinates to Mine Product Design and TestData Authors: Kaidi Zhao, Bing Liu, Thomas Tirpak, Andreas Schaller Early Detection of Insider Trading in Option Markets Authors: Steve Donoho Density-Based Spam Detector Authors: Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki Visually Mining and Monitoring Massive Time Series Authors: Jessica Lin, Jeff Lankford, Eamonn Keogh, Stefano Lonardi A Rank Sum Test Method for Informative Gene Discovery Authors: Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee Learning to Detect Malicious Executables in the Wild Authors: Jeremy Kolter, Marcus A. Maloof Interactive Training of Advanced Classifiers for Mining Remote Sensing Image Archives Authors: Selim Aksoy, Krzysztof Koperski, Giovanni Marchisio, Carsten Tusk Predicting Customer Grocery Shopping Lists from POS Purchase Data Authors: Chad Cumby, Andy Fano, Rayid Ghani, Marko Krema Eigenspace-based Anomaly Detection in Computer Systems Authors: Tsuyoshi Ide, Hisashi Kashima Mining Coherent Gene Clusters from Three-Dimensional Microarray Data Authors: Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang Predicting Prostate Cancer Recurrence via Maximizing the Concordance Index Authors: Lian Yan, David Verbel, Olivier Saidi Effective Localized Regression for Damage Detection in Large Complex Mechanical Structures Authors: Aleksander Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar Tamma (B) POSTER PAPERS A General Approach to Incorporate Data Quality Matrices into Data Mining Algorithms Authors: Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Tayi Tracking Dynamics of Topic Trends Using a Finite Mixture Model Authors: Satoshi Morinaga, Kenji Yamanishi ANN Quality Diagnostic Models for Packaging Manufacturing: An Industrial Data Mining Case Study Authors: Nicolas de Abajo, Alberto B. Diez, Vanesa Lobato, Sergio R. Cuesta Programming the K-means Clustering Algorithm in SQL Authors: Carlos Ordonez Document Preprocessing For Naive Bayes Classification and Clustering with Mixture of Multinomials Authors: Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh Mining Traffic Data from Probe-Car System for Travel Time Prediction Authors: Takayuki Nakata, Jun-ichi Takeuchi 1-Dimensional Splines as Building Blocks for Improving Accuracy of Risk Outcomes Models Authors: David Vogel, Morgan Wang Learning a Complex Metabolomic Dataset Using Random Forests and Support Vector Machines Authors: Young Truong, Chris Beecher, Adele Cutler, Leanna House, Xiaodong Lin, Stanley Young Feature Selection in Scientific Applications Authors: Erick Cantu-Paz, Shawn Newsam, Chandrika Kamath Cross Channel Optimized Marketing by Reinforcement Learning Authors: Naoki Abe, Naval Verma, Chidanand Apte, Robert Schroko A System for Automated Mapping of Bill-of-Material Part Numbers Authors: Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong Analytical View of Business Data Authors: Adam Yeh, Jonathan Tang, Youxuan Jin Exploring the Community Structure of Newsgroups Authors: Christian Borgs, Jennifer Chayes, Mohammad Mahdian, Amin Saberi
