Proceedings of the 2009 SIAM International Conference on Data Mining
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105

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Published By Society For Industrial And Applied Mathematics

9780898716825, 9781611972795

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

On Segment-Based Stream Modeling and its Applications

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.62 ◽

2009 ◽

Author(s):

Charu C. Aggarwal

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Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.22 ◽

2009 ◽

Cited By ~ 3

Author(s):

Kamalika Das ◽

Kanishka Bhaduri ◽

Sugandha Arora ◽

Wesley Griffin ◽

Kirk Borne ◽

...

Keyword(s):

Change Detection ◽

Data Streams

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Toward Optimal Ordering of Prediction Tasks

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.76 ◽

2009 ◽

Cited By ~ 3

Author(s):

Abhimanyu Lad ◽

Rayid Ghani ◽

Yiming Yang ◽

Bryan Kisiel

Keyword(s):

Optimal Ordering

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Detection and Characterization of Anomalies in Multivariate Time Series

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.36 ◽

2009 ◽

Cited By ~ 34

Author(s):

Haibin Cheng ◽

Pang-Ning Tan ◽

Christopher Potter ◽

Steven Klooster

Keyword(s):

Time Series ◽

Multivariate Time Series

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High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.90 ◽

2009 ◽

Cited By ~ 2

Author(s):

Arifa Nisar ◽

Waseem Ahmad ◽

Wei-keng Liao ◽

Alok Choudhary

Keyword(s):

High Performance

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Efficient Computation of Partial-Support for Mining Interesting Itemsets

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.87 ◽

2009 ◽

Cited By ~ 4

Author(s):

Ardian Kristanto Poernomo ◽

Vivekanand Gopalkrishnan

Keyword(s):

Partial Support ◽

Efficient Computation

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Exact Discovery of Time Series Motifs

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.41 ◽

2009 ◽

Cited By ~ 189

Author(s):

Abdullah Mueen ◽

Eamonn Keogh ◽

Qiang Zhu ◽

Sydney Cash ◽

Brandon Westover

Keyword(s):

Time Series

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Multi-field Correlated Topic Modeling

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.54 ◽

2009 ◽

Cited By ~ 11

Author(s):

Konstantin Salomatin ◽

Yiming Yang ◽

Abhimanyu Lad

Keyword(s):

Topic Modeling

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Agglomerative Mean-Shift Clustering via Query Set Compression

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.20 ◽

2009 ◽

Cited By ~ 6

Author(s):

Xiao-Tong Yuan ◽

Bao-Gang Hu ◽

Ran He

Keyword(s):

Mean Shift ◽

Mean Shift Clustering ◽

Set Compression

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Travel-Time Prediction using Gaussian Process Regression: A Trajectory-Based Approach

Proceedings of the 2009 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972795.101 ◽

2009 ◽

Cited By ~ 14

Author(s):

Tsuyoshi Idé ◽

Sei Kato

Keyword(s):

Gaussian Process ◽

Travel Time ◽

Gaussian Process Regression ◽

Travel Time Prediction ◽

Time Prediction

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Proceedings of the 2009 SIAM International Conference on Data MiningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Society For Industrial And Applied Mathematics

On Segment-Based Stream Modeling and its Applications

Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms

Toward Optimal Ordering of Prediction Tasks

Detection and Characterization of Anomalies in Multivariate Time Series

High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic

Efficient Computation of Partial-Support for Mining Interesting Itemsets

Exact Discovery of Time Series Motifs

Multi-field Correlated Topic Modeling

Agglomerative Mean-Shift Clustering via Query Set Compression

Travel-Time Prediction using Gaussian Process Regression: A Trajectory-Based Approach

Proceedings of the 2009 SIAM International Conference on Data Mining
Latest Publications