Knowledge Discovery in Inductive Databases : Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers / edited by Arno Siebes.

Format:

Book

Contributor:

Siebes, Arno, 1958- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 3377.

Information Systems and Applications, incl. Internet/Web, and HCI ; 3377

Language:

English

Subjects (All):

Database management.

Artificial intelligence.

Database Management.

Artificial Intelligence.

Local Subjects:

Database Management.

Artificial Intelligence.

Physical Description:

1 online resource (VIII, 200 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Contents:

Invited Paper

Models and Indices for Integrating Unstructured Data with a Relational Database

Contributed Papers

Constraint Relaxations for Discovering Unknown Sequential Patterns

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

Theoretical Bounds on the Size of Condensed Representations

Mining Interesting XML-Enabled Association Rules with Templates

Database Transposition for Constrained (Closed) Pattern Mining

An Efficient Algorithm for Mining String Databases Under Constraints

An Automata Approach to Pattern Collections

Implicit Enumeration of Patterns

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

Other Format:

Printed edition:

ISBN:

978-3-540-31841-5

9783540318415

Access Restriction:

Restricted for use by site license.