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ORCID1st SDM 2001: Chicago, IL, USA
- Vipin Kumar, Robert L. Grossman:
Proceedings of the First SIAM International Conference on Data Mining, SDM 2001, Chicago, IL, USA, April 5-7, 2001. SIAM 2001, ISBN 978-0-89871-495-1 - Eamonn J. Keogh, Michael J. Pazzani:
Derivative Dynamic Time Warping. 1-11 - Heikki Mannila, Dmitry Rusakov:
Decomposition of Event Sequences into Independent Components. 1-17 - Heikki Mannila, Jouni K. Seppänen:
Finding similar situations in sequences of events via random projections. 1-16 - Mukund Deshpande, George Karypis
:
Selective Markov Models for Predicting Web-Page Accesses. 1-15 - Sergio M. Savaresi, Daniel Boley:
On the performance of bisecting K-means and PDDP. 1-14 - Bin Zhang:
Generalized K-Harmonic Means - Dynamic Weighting of Data in Unsupervised Learning. 1-13 - Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary:
Adaptive Grids for Clustering Massive Data Sets. 1-17 - Gunjan Gupta, Joydeep Ghosh:
Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data. 1-17 - Dragoljub Pokrajac, Zoran Obradovic:
Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History. 1-17 - Tor-Kristian Jenssen, Lisa M. J. Öberg, Magnus L. Andersson, Jan Komorowski:
Methods for Large-Scale Mining of Networks of Human Genes. 1-16 - Michael C. Burl, Shawn M. Briglin, Brett J. Doleman, Alan Hopkins, A. Matzger, D. N. Ortiz, A. Schaffer, S. Upchurch, Thomas P. Vaid, Nathan S. Lewis:
Mining the Detector Responses of a Conducting Polymer Composite-Based Electronic Nose. 1-15 - Claudio Tebaldi, Doug Nychka, Grant Branstator:
Looking for Nonlinearities in the Large Scale Dynamics of the Atmosphere. 1-15 - Yuh-Jye Lee, Olvi L. Mangasarian:
RSVM: Reduced Support Vector Machines. 1-17 - Aleksandar Lazarevic, Zoran Obradovic:
Boosting Localized Classifiers in Heterogeneous Databases. 1-16 - Shu Chen, Bing Liu:
Generating Classification Rules According to User's Existing Knowledge. 1-15 - Vikas Sindhwani, P. Bhattacharya, Subrata Rakshit:
Information Theoretic Feature Crediting in Multiclass Support Vector Machines. 1-18 - Ruoming Jin, Gagan Agrawal:
A Middleware for Developing Parallel Data Mining Applications. 1-18 - Srinivasan Parthasarathy, Sandhya Dwarkadas:
Shared State for Client-Server Mining. 1-20 - Byung-Hoon Park, Rajeev Ayyagari, Hillol Kargupta:
A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment. 1-22 - Kwok-Yin Lai, Wai Lam:
Automatic Textual Document Categorization Using Multiple Similarity-Based Models. 1-16 - Moongu Jeon, Haesun Park, J. Ben Rosen:
Dimension reduction based on centroids and least squares for efficient processing of text data. 1-13 - Ke Wang, Senqiang Zhou, Yu He:
Hierarchical Classification of Real Life Documents. 1-16 - Ben Gum, Richard J. Lipton:
Cheaper by the Dozen: Batched Algorithms. 1-11 - Ahmed Ayad, Nagwa M. El-Makky, Yousry I. Taha:
Incremental Mining of Constrained Association Rules. 1-18 - Ramesh Natarajan, Edwin P. D. Pednault:
Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets. 1-14 - Donald E. Brown, Hua Liu, Yifei Xue:
Mining Preferences from Spatial-Temporal Data. 1-17 - Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
Modeling Spatial Dependencies for Mining Geospatial Data. 1-17 - Daniel Barbará, Ningning Wu, Sushil Jajodia:
Detecting Novel Network Intrusions Using Bayes Estimators. 1-17 - Ramesh C. Agarwal, Mahesh V. Joshi:
PNrule: A New Framework for Learning Classifier Models in Data Mining (A Case-Study in Network Intrusion Detection). 1-17
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