Temporal, Spatial, and Spatio-Temporal Data Mining : First International Workshop TSDM 2000 Lyon, France, September 12, 2000 Revised Papers / edited by John F. Roddick, Kathleen Hornsby.

Format:

Book

Contributor:

Roddick, John F., editor.

Hornsby, Kathleen, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2007.

Lecture Notes in Artificial Intelligence ; 2007

Language:

English

Subjects (All):

Database management.

Artificial intelligence.

Information storage and retrieval.

Application software.

Geographic information systems.

Database Management.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Geographical Information Systems/Cartography.

Local Subjects:

Database Management.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Geographical Information Systems/Cartography.

Physical Description:

1 online resource (VIII, 172 pages).

Edition:

First edition 2001.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.

System Details:

text file PDF

Summary:

This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the ?nal papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held.

Contents:

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

Discovering Temporal Patterns in Multiple Granularities

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

K-Harmonic Means -A Spatial Clustering Algorithm with Boosting

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

Value Range Queries on Earth Science Data via Histogram Clustering

Fast Randomized Algorithms for Robust Estimation of Location

Rough Sets in Spatio-temporal Data Mining

Join Indices as a Tool for Spatial Data Mining

Data Mining with Calendar Attributes

AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of Obstacles

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

Other Format:

Printed edition:

ISBN:

978-3-540-45244-7

9783540452447

Access Restriction:

Restricted for use by site license.