Publications

Below is the list of KDD-2004 accepted papers
http://www.acm.org/sigkdd/kdd2004/program/papers/

RESEARCH TRACK ACCEPTED PAPERS - 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

Data 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

For posters and industrial track submissions, see http://www.acm.org/sigkdd/kdd2004/program/papers/