Goethals, Bart. <br/><br/>
Knowledge Discovery in Inductive Databases  Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers /  [electronic resource] : 
edited by Bart Goethals, Arno Siebes. 
 - VIII, 200 p.  online resource. 
 - Lecture Notes in Computer Science,  3377  0302-9743 ; .
 - Lecture Notes in Computer Science,  3377 .
<br/><br/>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. 
<br/><br/>ZDB-2-SCS ZDB-2-LNC 
<br/><br/><label>ISBN: </label>9783540318415 
<br/><br/><label>Standard No.: </label>10.1007/b106731  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Database management.<br/>Artificial intelligence.<br/>Computer Science.<br/>Database Management.<br/>Artificial Intelligence (incl. Robotics).
<br/><br/><label>LC Class. No.: </label>QA76.9.D3 
<br/><br/><label>Dewey Class. No.: </label>005.74