Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases
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Published By Springer Berlin Heidelberg

9783540250821, 9783540318415

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Theoretical Bounds on the Size of Condensed Representations

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_4 ◽

2005 ◽

pp. 46-65 ◽

Cited By ~ 1

Author(s):

Nele Dexters ◽

Toon Calders

Keyword(s):

Condensed Representations

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Models and Indices for Integrating Unstructured Data with a Relational Database

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_1 ◽

2005 ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

Sunita Sarawagi

Keyword(s):

Relational Database ◽

Unstructured Data

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An Automata Approach to Pattern Collections

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_8 ◽

2005 ◽

pp. 130-149 ◽

Cited By ~ 2

Author(s):

Taneli Mielikäinen

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Mining Interesting XML-Enabled Association Rules with Templates

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_5 ◽

2005 ◽

pp. 66-88 ◽

Cited By ~ 10

Author(s):

Ling Feng ◽

Tharam Dillon

Keyword(s):

Association Rules

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An Efficient Algorithm for Mining String Databases Under Constraints

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_7 ◽

2005 ◽

pp. 108-129 ◽

Cited By ~ 6

Author(s):

Sau Dan Lee ◽

Luc De Raedt

Keyword(s):

Efficient Algorithm ◽

String Databases

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Database Transposition for Constrained (Closed) Pattern Mining

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_6 ◽

2005 ◽

pp. 89-107 ◽

Cited By ~ 5

Author(s):

Baptiste Jeudy ◽

François Rioult

Keyword(s):

Pattern Mining ◽

Closed Pattern ◽

Closed Pattern Mining

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Implicit Enumeration of Patterns

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_9 ◽

2005 ◽

pp. 150-172 ◽

Cited By ~ 2

Author(s):

Taneli Mielikäinen

Keyword(s):

Implicit Enumeration

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Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_10 ◽

2005 ◽

pp. 173-189 ◽

Cited By ~ 3

Author(s):

Arnaud Soulet ◽

Bruno Crémilleux ◽

François Rioult

Keyword(s):

Condensed Representation

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Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_3 ◽

2005 ◽

pp. 33-45 ◽

Cited By ~ 12

Author(s):

Jérémy Besson ◽

Céline Robardet ◽

Jean-François Boulicaut

Keyword(s):

Bounded Number ◽

Formal Concepts ◽

Transactional Data

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Constraint Relaxations for Discovering Unknown Sequential Patterns

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases ◽

10.1007/978-3-540-31841-5_2 ◽

2005 ◽

pp. 11-32 ◽

Cited By ~ 5

Author(s):

Cláudia Antunes ◽

Arlindo L. Oliveira

Keyword(s):

Sequential Patterns ◽

Constraint Relaxations

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Lecture Notes in Computer Science - Knowledge Discovery in Inductive DatabasesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Theoretical Bounds on the Size of Condensed Representations

Models and Indices for Integrating Unstructured Data with a Relational Database

An Automata Approach to Pattern Collections

Mining Interesting XML-Enabled Association Rules with Templates

An Efficient Algorithm for Mining String Databases Under Constraints

Database Transposition for Constrained (Closed) Pattern Mining

Implicit Enumeration of Patterns

Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures

Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data

Constraint Relaxations for Discovering Unknown Sequential Patterns

Lecture Notes in Computer Science - Knowledge Discovery in Inductive Databases
Latest Publications