Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540410669, 9783540453727

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Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_60 ◽

2007 ◽

pp. 516-523 ◽

Cited By ~ 6

Author(s):

Adele Marshall ◽

Sally McClean ◽

Mary Shapcott1 ◽

Peter Millard

Keyword(s):

Bayesian Belief Networks ◽

Belief Networks ◽

Phase Type ◽

Phase Type Distributions ◽

Learning Dynamic ◽

Conditional Phase

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Aggregation and Association in Cross Tables

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_71 ◽

2000 ◽

pp. 593-598 ◽

Cited By ~ 4

Author(s):

Gilbert Ritschard ◽

Nicolas Nicoloyannis

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Mining Generalized Multiple-level Association Rules

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_84 ◽

2000 ◽

pp. 679-684 ◽

Cited By ~ 1

Author(s):

Yen Show-Jane

Keyword(s):

Association Rules ◽

Multiple Level

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Fast Feature Selection using Partial Correlation for Multi-valued Attributes

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_22 ◽

2000 ◽

pp. 221-231 ◽

Cited By ~ 8

Author(s):

S. Lallich ◽

R. Rakotomalala

Keyword(s):

Feature Selection ◽

Partial Correlation

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Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_24 ◽

2000 ◽

pp. 243-254 ◽

Cited By ~ 10

Author(s):

Bin Zhang ◽

Meichun Hsu ◽

George Forman

Keyword(s):

Parameter Estimation ◽

Sufficient Statistics ◽

Estimation Algorithms ◽

Speed Up

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Some Enhancements of Decision Tree Bagging

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_14 ◽

2000 ◽

pp. 136-147 ◽

Cited By ~ 5

Author(s):

Pierre Geurts

Keyword(s):

Decision Tree

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Mining Weighted Association Rules for Fuzzy Quantitative Items

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_45 ◽

2000 ◽

pp. 416-423 ◽

Cited By ~ 24

Author(s):

Attila Gyenesei

Keyword(s):

Association Rules ◽

Weighted Association Rules

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An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_2 ◽

2000 ◽

pp. 13-23 ◽

Cited By ~ 399

Author(s):

Akihiro Inokuchi ◽

Takashi Washio ◽

Hiroshi Motoda

Keyword(s):

Graph Data

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Combining Multiple Models with Meta Decision Trees

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_6 ◽

2000 ◽

pp. 54-64 ◽

Cited By ~ 37

Author(s):

Ljupčo Todorovski ◽

Sašo Džeroski

Keyword(s):

Decision Trees ◽

Multiple Models

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Confirmation Rule Sets

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/3-540-45372-5_4 ◽

2000 ◽

pp. 34-43 ◽

Cited By ~ 7

Author(s):

Dragan Gamberger ◽

Nada Lavrač

Keyword(s):

Rule Sets

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Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions

Aggregation and Association in Cross Tables

Mining Generalized Multiple-level Association Rules

Fast Feature Selection using Partial Correlation for Multi-valued Attributes

Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up

Some Enhancements of Decision Tree Bagging

Mining Weighted Association Rules for Fuzzy Quantitative Items

An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data

Combining Multiple Models with Meta Decision Trees

Confirmation Rule Sets

Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science
Latest Publications