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ORCID3rd SDM 2003: San Francisco, CA, USA
- Daniel Barbará, Chandrika Kamath:
Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003. SIAM 2003, ISBN 978-0-89871-545-3
Part I: Full Papers
- Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore:
Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials. 3-12 - Ming Jiang, Tat-Sang Choy, Sameep Mehta, Matt Coatney, Steve Barr, Kaden Hazzard, David Richie, Srinivasan Parthasarathy, Raghu Machiraju, David S. Thompson, John Wilkins, Boyd Gatlin:
Feature Mining Paradigms for Scientific Data. 13-24 - Aleksandar Lazarevic, Levent Ertöz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava:
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. 25-36 - Matthew Brand:
Fast Online SVD Revisions for Lightweight Recommender Systems. 37-46 - Levent Ertöz, Michael S. Steinbach, Vipin Kumar:
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. 47-58 - Benjamin C. M. Fung, Ke Wang, Martin Ester:
Hierarchical Document Clustering using Frequent Itemsets. 59-70 - Shi Zhong, Joydeep Ghosh:
Scalable, Balanced Model-based Clustering. 71-82 - Jonatan Gómez, Dipankar Dasgupta, Olfa Nasraoui:
A New Gravitational Clustering Algorithm. 83-94 - Ke Wang, Senqiang Zhou, Ada Wai-Chee Fu, Jeffrey Xu Yu:
Mining Changes of Classification by Correspondence Tracing. 95-106 - Dimitris Bertsimas, Adam J. Mersereau, Nitin R. Patel:
Dynamic Classification of Online Customers. 107-118 - Ruoming Jin, Gagan Agrawal:
Communication and Memory Efficient Parallel Decision Tree Construction. 119-129 - Haixun Wang, Carlo Zaniolo:
ATLaS: A Native Extension of SQL for Data Mining. 130-141 - Dmitry Pavlov, Padhraic Smyth:
Approximate Query Answering by Model Averaging. 142-153 - Ravi Kothari, Parul A. Mittal, Vivek Jain, Mukesh K. Mohania:
On using Page Cooccurrences for Computing Clickstream Similarity. 154-165 - Xifeng Yan, Jiawei Han, Ramin Afshar:
CloSpan: Mining Closed Sequential Patterns in Large Datasets. 166-177 - Soon Tee Teoh, Kwan-Liu Ma:
StarClass: Interactive Visual Classification using Star Coordinates. 178-185 - Dennis DeCoste:
Anytime Query-Tuned Kernel Machines via Cholesky Factorization. 186-193 - Douglas R. Hundley, Michael J. Kirby:
Estimation of Topological Dimension. 194-202 - Alexander G. Gray, Andrew W. Moore:
Nonparametric Density Estimation: Toward Computational Tractability. 203-211 - Ronald K. Pearson:
Generalized Sensitivity Analysis: A Framework for Evaluating Data Analysis Results. 212-223 - Jiong Yang, Wei Wang, Philip S. Yu:
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data. 224-235
Part II: Poster Presentations
- Hiroshi Mamitsuka
:
Efficient Unsupervised Mining from Noisy Data Sets: Application to Clustering Co-occurrence Data. 239-243 - Huan Li, Hongjun Lu, Lei Yu:
Active Sampling: An Effective Approach to Feature Selection. 244-248 - Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon:
PageRank: HITS and a Unified Framework for Link Analysis. 249-253 - Patricia B. Cerrito, James Cox:
The Application of Text Mining Software to Examine Coded Information. 254-258 - Tassos Argyros, Charis Ermopoulos, Vassiliki Pavlaki, Nidal Al-Said:
Extracting Cyber Communities through Patterns. 259-263 - Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen:
On the Techniques for Data Clustering with Numerical Constraints. 264-268 - Patricia B. Cerrito, George R. Barnes, Robert W. Forbes:
The Analysis of Asthma and Exposure Data using Geographic Information Systems and Data Mining Information. 269-273 - Ronald K. Pearson, Harri Lähdesmäki, Heikki Huttunen, Olli Yli-Harja:
Detecting Periodicity in Nonideal Datasets. 274-278 - Slobodan Vucetic, Dragoljub Pokrajac, Hongbo M. Xie, Zoran Obradovic:
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models. 279-283 - Rong Chen, Krishnamoorthy Sivakumar, H. Khargupta:
Learning Bayesian Network Structure from Distributed Data. 284-288 - Jaakko Hollmén, Jouni K. Seppänen, Heikki Mannila:
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. 289-293 - Dennis Lucarelli, Cheryl Resch, I-Jeng Wang, Fernando J. Pineda:
Field-Theoretic Methods for Intractable Probabilistic Models. 294-298 - Sergio M. Savaresi, Simone Garatti, Sergio Bittanti, Luca La Brocca:
Data-Mining of a Large Virtual Community: Relationship between Users DB and the Web-Log File. 299-303 - Alain Casali, Rosine Cicchetti, Lotfi Lakhal:
Cube Lattices: A Framework for Multidimensional Data Mining. 304-308
Part III: Student Papers
- Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan:
ApproxMAP: Approximate Mining of Consensus Sequential Patterns. 311-315 - Hunor Albert-Lorincz, Jean-François Boulicaut:
Mining Frequent Sequential Patterns under Regular Expressions: A Highly Adaptive Strategy for Pushing Contraints. 316-320 - Yan Liu, John R. Kender:
Sort-Merge Feature Selection for Video Data. 321-325 - Song Lin, Donald E. Brown:
An Outlier-based Data Association Method for Linking Criminal Incidents. 326-330 - Xiaoxin Yin, Jiawei Han:
CPAR: Classification based on Predictive Association Rules. 331-335 - Wen Niu, Raj Bhatnagar:
Mining Temporal Databases for Subsequence Patterns. 336-340 - David Littau, Daniel Boley:
Using Low-Memory Representations to Cluster Very Large Data Sets. 341-345
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