Cover Image

Data Mining for Association Rules and Sequential Patterns : Sequential and Parallel Algorithms /

Show other versions (1)

The book provides a unified presentation of algorithms for association rule and sequential pattern discovery. For both mining problems, the presentation relies on the lattice structure of the search space. All algorithms are built as processes running on this structure. Proving their properties take...

Full description

Bibliographic Details
Main Author: Adamo, Jean-Marc
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York, 2001.
Subjects:
Computer science.
Computer software.
Database management.
Information storage and retrieval systems.
Artificial intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Search Space Partition-Based Rule Mining
  • Apriori and Other Algorithms
  • Mining for Rules Over Attribute Taxonomies
  • Constraint-Based Rule Mining
  • Data Partition-Based Rule Mining
  • Mining Rules with Categorical and Metric Attributes
  • Optimizing Rules with Quantitative Attributes
  • Beyond Support-Confidence Framework
  • Sequential Patterns: Search Space Partition-Based Mining
  • Appendix
  • References
  • Index.