Studies in Computational Intelligence - Advances in Chance Discovery
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Published By Springer Berlin Heidelberg

9783642301131, 9783642301148

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_4 ◽

2013 ◽

pp. 49-61 ◽

Cited By ~ 1

Author(s):

Peter Sarlin

Keyword(s):

Financial Networks ◽

Chance Discovery ◽

Self Organizing Maps ◽

Self Organizing

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Data-Driven Innovation Technologies for Smarter Business from Innovators’ Market Game to iChance Creativity Support System

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_8 ◽

2013 ◽

pp. 107-125 ◽

Cited By ~ 1

Author(s):

Hao Wang ◽

Yukio Ohsawa

Keyword(s):

Support System ◽

Data Driven ◽

Market Game ◽

Creativity Support ◽

Creativity Support System

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Framework of Early Adopters Roaming among Tribes for Discovering Innovative Creation

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_7 ◽

2013 ◽

pp. 91-106

Author(s):

Mu-Hua Lin ◽

Chao-Fu Hong ◽

Hsiao-Fang Yang ◽

Ai-Ling Wang

Keyword(s):

Early Adopters

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Constructing Feature Set by Using Temporal Clustering of Term Usages in Document Categorization

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_14 ◽

2013 ◽

pp. 215-229

Author(s):

Hidenao Abe ◽

Shusaku Tsumoto

Keyword(s):

Temporal Clustering ◽

Document Categorization

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Discovering the Chances of Health Problems and Falls in the Elderly Using Data Mining

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_11 ◽

2013 ◽

pp. 163-175 ◽

Cited By ~ 2

Author(s):

Bogdan Pogorelc ◽

Matjaž Gams

Keyword(s):

Data Mining ◽

The Elderly ◽

Health Problems ◽

Using Data

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Curation in Chance Discovery

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_1 ◽

2013 ◽

pp. 1-18 ◽

Cited By ~ 6

Author(s):

Akinori Abe

Keyword(s):

Chance Discovery

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Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_15 ◽

2013 ◽

pp. 231-246

Author(s):

Yoshiaki Okubo ◽

Makoto Haraguchi ◽

Takeshi Nakajima

Keyword(s):

Weak Correlation

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Turning Down a Chance An Argument from Simplicity

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_2 ◽

2013 ◽

pp. 19-31

Author(s):

Emanuele Bardone ◽

Lorenzo Magnani

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Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_12 ◽

2013 ◽

pp. 177-189

Author(s):

Vladimir Rybakov

Keyword(s):

Chance Discovery ◽

Temporal Logics

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Paired Evaluators Method to Track Concept Drift: An Application in Finance

Studies in Computational Intelligence - Advances in Chance Discovery ◽

10.1007/978-3-642-30114-8_9 ◽

2013 ◽

pp. 127-141

Author(s):

Masabumi Furuhata ◽

Takanobu Mizuta ◽

Jihei So

Keyword(s):

Concept Drift

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Studies in Computational Intelligence - Advances in Chance DiscoveryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks

Data-Driven Innovation Technologies for Smarter Business from Innovators’ Market Game to iChance Creativity Support System

Framework of Early Adopters Roaming among Tribes for Discovering Innovative Creation

Constructing Feature Set by Using Temporal Clustering of Term Usages in Document Categorization

Discovering the Chances of Health Problems and Falls in the Elderly Using Data Mining

Curation in Chance Discovery

Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns

Turning Down a Chance An Argument from Simplicity

Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery

Paired Evaluators Method to Track Concept Drift: An Application in Finance

Studies in Computational Intelligence - Advances in Chance Discovery
Latest Publications