2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
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9781424499267

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FGMAC: Frequent subgraph mining with Arc Consistency

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949436 ◽

2011 ◽

Cited By ~ 1

Author(s):

Brahim Douar ◽

Michel Liquiere ◽

Chiraz Latiri ◽

Yahya Slimani

Keyword(s):

Frequent Subgraph Mining ◽

Arc Consistency ◽

Subgraph Mining ◽

Frequent Subgraph

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Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011)

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949307 ◽

2011 ◽

Keyword(s):

Data Mining ◽

Computational Intelligence

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User-guided discovery of declarative process models

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949297 ◽

2011 ◽

Cited By ~ 81

Author(s):

Fabrizio M. Maggi ◽

Arjan J. Mooij ◽

Wil M.P. van der Aalst

Keyword(s):

Process Models ◽

Guided Discovery

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Discovering process models through relational disjunctive patterns mining

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949299 ◽

2011 ◽

Author(s):

Corrado Loglisci ◽

Michelangelo Ceci ◽

Annalisa Appice ◽

Donato Malerba

Keyword(s):

Process Models

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Feature extraction for multi-label learning in the domain of email classification

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949301 ◽

2011 ◽

Cited By ~ 3

Author(s):

Jose M. Carmona-Cejudo ◽

Manuel Baena-Garcia ◽

Jose del Campo-Avila ◽

Rafael Morales-Bueno

Keyword(s):

Feature Extraction ◽

Email Classification

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A robust F-measure for evaluating discovered process models

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949428 ◽

2011 ◽

Cited By ~ 39

Author(s):

Jochen De Weerdt ◽

Manu De Backer ◽

Jan Vanthienen ◽

Bart Baesens

Keyword(s):

Process Models ◽

F Measure

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A banner recommendation system based on web navigation history

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949437 ◽

2011 ◽

Cited By ~ 2

Author(s):

Giovanni Giuffrida ◽

Diego Reforgiato ◽

Giuseppe Tribulato ◽

Calogero Zarba

Keyword(s):

Recommendation System ◽

Web Navigation

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Using gaming strategies for attacker and defender in recommender systems

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949304 ◽

2011 ◽

Cited By ~ 2

Author(s):

Justin Zhan ◽

Lijo Thomas ◽

Venkata Pasumarthi

Keyword(s):

Recommender Systems

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OLAP navigation in the Granular Linguistic Model of a Phenomenon

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949458 ◽

2011 ◽

Cited By ~ 1

Author(s):

Carlos Menendez-Gonzalez ◽

Gracian Trivino

Keyword(s):

Linguistic Model

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Clustering categorical data: A stability analysis framework

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) ◽

10.1109/cidm.2011.5949452 ◽

2011 ◽

Author(s):

I.H. Jarman ◽

T.A. Etchells ◽

P.J.G. Lisboa ◽

C.M Beynon ◽

J.D. Martin-Guerrero

Keyword(s):

Stability Analysis ◽

Categorical Data ◽

Analysis Framework

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2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

FGMAC: Frequent subgraph mining with Arc Consistency

Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011)

User-guided discovery of declarative process models

Discovering process models through relational disjunctive patterns mining

Feature extraction for multi-label learning in the domain of email classification

A robust F-measure for evaluating discovered process models

A banner recommendation system based on web navigation history

Using gaming strategies for attacker and defender in recommender systems

OLAP navigation in the Granular Linguistic Model of a Phenomenon

Clustering categorical data: A stability analysis framework

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
Latest Publications