SDM'2001 Accepted Papers
(Current as of 1/19/01)
Derivative Dynamic Time Warping
Eamonn J. Keogh and Michael J. Pazzani
Decomposition of Event Sequences into Independent Components
Heikki Mannila and Dmitry Rusakov
Finding similar situations in sequences of events via random projections
Heikki Mannila and Jouni Sepponen
Selective Markov Models for Predicting Web-Page Accesses
Mukund Deshpande & George Karypis
On the performance of bisecting K-means and PDDP
Sergio M. Savaresi, Daniel L. Boley
Generalized K-Harmonic Means -- Boosting in Unsupervised Learning
Bin Zhang
Adaptive Grids for Clustering Massive Data Sets
Harsha Nagesh, Sanjay Goil, Alok Choudhary
Detecting Seasonal and Divergent Trends and Visualization for Very High Dimensional Transactional Data
Gunjan K Gupta Joydeep Ghosh
Improved Spatial-Temporal Forecasting through Modeling of Spatial Residuals in Recent History
Dragoljub Pokrajac Zoran Obradovic
Methods for large-scale mining of networks of human genes
Tor-Kristian Jenssen*, Lisa M.J. Oberg, Magnus L Anderson, and Jan Komorowski*
Mining the Detector Responses of a Conducting Polymer Composite-Based Electronic Nose
*Michael C. Burl, Thomas P. Vaid, and Nathan S. Lewis
Looking for nonlinearities in the large scale dynamics of the Atmosphere.
Claudia Tebaldi, Doug Nychka, Grant Branstator
Generating Classification Rules According to User�s Existing Knowledge
Shu Chen, Bing Liu
Hierarchical Classification of Text Information
Ke Wang, Senqiang Zhou,Yu He
Data Mining of High Dimensioanl Data
Alfred Inselberg
Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets
Ramesh Natarajan and Edwin Pednault
Boosting Localized Classifiers in Heterogeneous Databases
Aleksandar Lazarevic, Zoran Obradovic
A Fourier Analysis-Based Approach to Learn Classifiers from Distributed Heterogeneous Data
Byung-Hoon Park, Rajeev Ayyagari and Hillol Kargupta
A Middleware for Developing Parallel Data Mining Applications
Ruoming Jin and Gagan Agrawal
Shared State for Distributed Interactive Data Mining Applications
Srinivasan Parthasarathy and Sandhya Dwarkadas
Automatic Textual Document Categorization Using Multiple Similarity-Based Models
Kwok-Yin Lai and Wai Lam
Dimension Reduction based on Minimization for Vector Space Based Information Retrieval
Haesun Park, J. Ben Rosen, and Moongu Jeon
RSVM: Reduced Support Vector Machines
Yuh-Jye Lee and Olvi L. Mangasarian
Information-Theoretic Feature Crediting in Multiclass Support Vector Machines.
Vikas Sindhwani, Pushpak Bhattacharya , Subrata Rakshit
Detecting Novel Network Intrusions Using Bayes Estimators
Daniel Barbara, Ningning Wu, and Sushil Jajodia
PNrule: A New Classification Framework in Data Mining (A Case Study in Network Intrusion Detection)
Ramesh C. Agarwal, Mahesh V. Joshi
Mining Preferences from Spatial-Temporal Data
Donald E. Brown, Hua Liu and Yifie Xue
Modeling Spatial Dependencies for Mining Geospatial Data
Sanjay Chawla, Shashi Shekhar, Weili Wu, and Uygar Ozesmi
Cheaper by the Dozen: Batched Algorithms
Ben Gum, Richard Lipton
Incremental mining of constrained association rules
Ahmed M. Ayad Nagwa M. El-Makky Yousry Taha
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