Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540417736, 9783540452447

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An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_12 ◽

2001 ◽

pp. 147-163 ◽

Cited By ~ 51

Author(s):

John F. Roddick ◽

Kathleen Hornsby ◽

Myra Spiliopoulou

Keyword(s):

Data Mining ◽

Temporal Data Mining ◽

Temporal Data ◽

Spatio Temporal

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Value Range Queries on Earth Science Data via Histogram Clustering

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_6 ◽

2001 ◽

pp. 62-76 ◽

Cited By ~ 5

Author(s):

Ruixin Yang ◽

Kwang-Su Yang ◽

Menas Kafatos ◽

X. Sean Wang

Keyword(s):

Earth Science ◽

Range Queries ◽

Science Data ◽

Value Range ◽

Earth Science Data

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Workshop Report - International Workshop on Temporal, Spatial, and Spatio-temporal Data Mining - TSDM2000

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_1 ◽

2001 ◽

pp. 1-4

Author(s):

Kathleen Hornsby

Keyword(s):

Data Mining ◽

International Workshop ◽

Temporal Data Mining ◽

Temporal Data ◽

Workshop Report ◽

Spatio Temporal

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Rough Sets in Spatio-temporal Data Mining

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_8 ◽

2001 ◽

pp. 89-104 ◽

Cited By ~ 10

Author(s):

Thomas Bittner

Keyword(s):

Data Mining ◽

Rough Sets ◽

Temporal Data Mining ◽

Temporal Data ◽

Spatio Temporal

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Discovering Temporal Patterns in Multiple Granularities

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_2 ◽

2001 ◽

pp. 5-19 ◽

Cited By ~ 7

Author(s):

Yingjiu Li ◽

X. Sean Wang ◽

Sushil Jajodia

Keyword(s):

Temporal Patterns ◽

Multiple Granularities

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K-Harmonic Means -A Spatial Clustering Algorithm with Boosting

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_4 ◽

2001 ◽

pp. 31-45 ◽

Cited By ~ 22

Author(s):

Bin Zhang ◽

Meichun Hsu ◽

Umesh Dayal

Keyword(s):

Clustering Algorithm ◽

Spatial Clustering ◽

Harmonic Means

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Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_5 ◽

2001 ◽

pp. 46-61 ◽

Cited By ~ 10

Author(s):

Richard J. Povinelli

Keyword(s):

Time Series ◽

Financial Time Series ◽

Temporal Patterns ◽

Financial Time

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Join Indices as a Tool for Spatial Data Mining

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_9 ◽

2001 ◽

pp. 105-116 ◽

Cited By ~ 3

Author(s):

Karine Zeitouni ◽

Laurent Yeh ◽

Marie-Aude Aufaure

Keyword(s):

Data Mining ◽

Spatial Data ◽

Spatial Data Mining

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Fast Randomized Algorithms for Robust Estimation of Location

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_7 ◽

2001 ◽

pp. 77-88 ◽

Cited By ~ 2

Author(s):

Vladimir Estivill-Castro ◽

Michael E. Houle

Keyword(s):

Robust Estimation ◽

Randomized Algorithms

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Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_3 ◽

2001 ◽

pp. 20-30 ◽

Cited By ~ 3

Author(s):

Ray J. Hickey ◽

Michaela M. Black

Keyword(s):

Concept Drift ◽

Classification Rules ◽

Time Stamps ◽

Concept Drift Detection

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Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research

Value Range Queries on Earth Science Data via Histogram Clustering

Workshop Report - International Workshop on Temporal, Spatial, and Spatio-temporal Data Mining - TSDM2000

Rough Sets in Spatio-temporal Data Mining

Discovering Temporal Patterns in Multiple Granularities

K-Harmonic Means -A Spatial Clustering Algorithm with Boosting

Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events

Join Indices as a Tool for Spatial Data Mining

Fast Randomized Algorithms for Robust Estimation of Location

Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science
Latest Publications