Proceedings of the 2001 SIAM International Conference on Data Mining
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Society For Industrial And Applied Mathematics

9780898714951, 9781611972719

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Selective Markov Models for Predicting Web-Page Accesses

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.4 ◽

2001 ◽

Cited By ~ 32

Author(s):

Mukund Deshpande ◽

George Karypis

Keyword(s):

Markov Models ◽

Web Page

Download Full-text

Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.8 ◽

2001 ◽

Cited By ~ 6

Author(s):

Gunjan K Gupta ◽

Joydeep Ghosh

Keyword(s):

High Dimensional ◽

Seasonal Trends ◽

Transactional Data ◽

Very High

Download Full-text

Generalized K-Harmonic Means – Dynamic Weighting of Data in Unsupervised Learning

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.6 ◽

2001 ◽

Cited By ~ 20

Author(s):

Bin Zhang

Keyword(s):

Unsupervised Learning ◽

Dynamic Weighting ◽

Harmonic Means

Download Full-text

Decomposition of Event Sequences into Independent Components

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.2 ◽

2001 ◽

Cited By ~ 12

Author(s):

Heikki Mannila ◽

Dmitry Rusakov

Keyword(s):

Event Sequences ◽

Independent Components

Download Full-text

Incremental Mining of Constrained Association Rules

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.24 ◽

2001 ◽

Cited By ~ 11

Author(s):

Ahmed Ayad ◽

Nagwa El-Makky ◽

Yousry Taha

Keyword(s):

Association Rules ◽

Incremental Mining

Download Full-text

Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.25 ◽

2001 ◽

Cited By ~ 1

Author(s):

Ramesh Natarajan ◽

Edwin Pednault

Keyword(s):

Predictive Modeling ◽

Massive Data ◽

Data Sets ◽

Massive Data Sets ◽

Speed Up ◽

Pseudo Data

Download Full-text

Modeling Spatial Dependencies for Mining Geospatial Data

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.27 ◽

2001 ◽

Cited By ~ 11

Author(s):

Sanjay Chawla ◽

Shashi Shekhar ◽

Weili Wu ◽

Uygar Ozesmi

Keyword(s):

Geospatial Data ◽

Spatial Dependencies

Download Full-text

Generating Classification Rules According to User's Existing Knowledge

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.15 ◽

2001 ◽

Cited By ~ 3

Author(s):

Shu Chen ◽

Bing Liu

Keyword(s):

Classification Rules

Download Full-text

Shared State for Client-Server Mining

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.18 ◽

2001 ◽

Author(s):

S. Parthasarathy ◽

S. Dwarkadas

Keyword(s):

Client Server ◽

Shared State

Download Full-text

Looking for Nonlinearities in the Large Scale Dynamics of the Atmosphere

Proceedings of the 2001 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972719.12 ◽

2001 ◽

Author(s):

C. Tebaldi ◽

D. Nychka ◽

G. Branstator

Keyword(s):

Large Scale

Download Full-text

Proceedings of the 2001 SIAM International Conference on Data MiningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Society For Industrial And Applied Mathematics

Selective Markov Models for Predicting Web-Page Accesses

Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data

Generalized K-Harmonic Means – Dynamic Weighting of Data in Unsupervised Learning

Decomposition of Event Sequences into Independent Components

Incremental Mining of Constrained Association Rules

Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets

Modeling Spatial Dependencies for Mining Geospatial Data

Generating Classification Rules According to User's Existing Knowledge

Shared State for Client-Server Mining

Looking for Nonlinearities in the Large Scale Dynamics of the Atmosphere

Proceedings of the 2001 SIAM International Conference on Data Mining
Latest Publications