2010

Inductive Databases and Constraint-Based Data Mining

Editors:

ISBN: 978-1-4419-7737-3 (Print) 978-1-4419-7738-0 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages 1-15

  2. Introduction

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-26

      Inductive Databases and Constraint-based Data Mining: Introduction and Overview

    3. No Access

      Book Chapter

      Pages 27-58

      Representing Entities in the OntoDM Data Mining Ontology

    4. No Access

      Book Chapter

      Pages 59-77

      A Practical Comparative Study Of Data Mining Query Languages

    5. No Access

      Book Chapter

      Pages 79-103

      A Theory of Inductive Query Answering

  3. Constraint-based Mining: Selected Techniques

    1. Front Matter

      Pages 105-105

    2. No Access

      Book Chapter

      Pages 107-126

      Generalizing Itemset Mining in a Constraint Programming Setting

    3. No Access

      Book Chapter

      Pages 127-154

      From Local Patterns to Classification Models

    4. No Access

      Book Chapter

      Pages 155-175

      Constrained Predictive Clustering

    5. No Access

      Book Chapter

      Pages 177-197

      Finding Segmentations of Sequences

    6. No Access

      Book Chapter

      Pages 199-228

      Mining Constrained Cross-Graph Cliques in Dynamic Networks

    7. No Access

      Book Chapter

      Pages 229-262

      Probabilistic Inductive Querying Using ProbLog

  4. Inductive Databases: Integration Approaches

    1. Front Matter

      Pages 263-263

    2. No Access

      Book Chapter

      Pages 265-287

      Inductive Querying with Virtual Mining Views

    3. No Access

      Book Chapter

      Pages 289-309

      SINDBAD and SiQL: Overview, Applications and Future Developments

    4. No Access

      Book Chapter

      Pages 311-334

      Patterns on Queries

    5. No Access

      Book Chapter

      Pages 335-361

      Experiment Databases

  5. Applications

    1. Front Matter

      Pages 363-363

    2. No Access

      Book Chapter

      Pages 365-387

      Predicting Gene Function using Predictive Clustering Trees

    3. No Access

      Book Chapter

      Pages 389-406

      Analyzing Gene Expression Data with Predictive Clustering Trees

    4. No Access

      Book Chapter

      Pages 407-423

      Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences

    5. No Access

      Book Chapter

      Pages 425-451

      Inductive Queries for a Drug Designing Robot Scientist

  6. Back Matter

    Pages 454-457