Advances in Intelligent Data Analysis - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540425816, 9783540448167

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering — A Preliminary Study

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_6 ◽

2001 ◽

pp. 53-62 ◽

Cited By ~ 6

Author(s):

Cen Li ◽

Gautam Biswas ◽

Mike Dale ◽

Pat Dale

Keyword(s):

Data Clustering ◽

Temporal Data ◽

Ecological Dynamics ◽

Building Models ◽

Preliminary Study

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Predicting Time-Varying Functions with Local Models

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_5 ◽

2001 ◽

pp. 44-52 ◽

Cited By ~ 1

Author(s):

Achim Lewandowski ◽

Peter Protzel

Keyword(s):

Time Varying ◽

Local Models

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Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_37 ◽

2001 ◽

pp. 370-377 ◽

Cited By ~ 2

Author(s):

Grace W. Rumantir ◽

Chris S. Wallace

Keyword(s):

Polynomial Regression ◽

Correlated Data ◽

Highly Correlated

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Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_26 ◽

2001 ◽

pp. 258-267 ◽

Cited By ~ 3

Author(s):

Ryohei Nakano ◽

Kazumi Saito

Keyword(s):

Multivariate Data ◽

Nominal Variables

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RNA-Sequence-Structure Properties and Selenocysteine Insertion

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_19 ◽

2001 ◽

pp. 187-197

Author(s):

Rolf Backofen

Keyword(s):

Sequence Structure ◽

Rna Sequence ◽

Structure Properties

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A New Framework to Assess Association Rules

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_10 ◽

2001 ◽

pp. 95-104 ◽

Cited By ~ 14

Author(s):

Fernando Berzal ◽

Ignacio Blanco ◽

Daniel Sánchez ◽

María-Amparo Vila

Keyword(s):

Association Rules ◽

New Framework

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Feature Characterization in Scientific Datasets

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_1 ◽

2001 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Elizabeth Bradley ◽

Nancy Collins ◽

W. Philip Kegelmeyer

Keyword(s):

Scientific Datasets ◽

Feature Characterization

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Communities of Interest

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_11 ◽

2001 ◽

pp. 105-114 ◽

Cited By ~ 44

Author(s):

Corinna Cortes ◽

Daryl Pregibon ◽

Chris Volinsky

Keyword(s):

Communities Of Interest

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Investigating Temporal Patterns of Fault Behaviour Within Large Telephony Networks

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_34 ◽

2001 ◽

pp. 340-349

Author(s):

Dave Yearling ◽

David J. Hand

Keyword(s):

Temporal Patterns

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Finding Informative Rules in Interval Sequences

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science ◽

10.1007/3-540-44816-0_13 ◽

2001 ◽

pp. 125-134 ◽

Cited By ~ 17

Author(s):

Frank Höppner ◽

Frank Klawonn

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Advances in Intelligent Data Analysis - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering — A Preliminary Study

Predicting Time-Varying Functions with Local Models

Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery

Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables

RNA-Sequence-Structure Properties and Selenocysteine Insertion

A New Framework to Assess Association Rules

Feature Characterization in Scientific Datasets

Communities of Interest

Investigating Temporal Patterns of Fault Behaviour Within Large Telephony Networks

Finding Informative Rules in Interval Sequences

Advances in Intelligent Data Analysis - Lecture Notes in Computer Science
Latest Publications