Business Intelligence

A Rough Sets Partitioning Model for Mining Sequential Patterns With Time Constraint

Free registration required

Executive Summary

Now a days, data mining and knowledge discovery methods are applied to a variety of enterprise and engineering disciplines to uncover interesting patterns from databases. The study of Sequential patterns is an important data mining problem due to its wide applications to real world time dependent databases. Sequential patterns are inter-event patterns ordered over a time-period associated with specific objects under study. Analysis and discovery of frequent sequential patterns over a predetermined time-period are interesting data-mining results, and can aid in decision support in many enterprise applications.

  • Format: PDF
  • Size: 384.6 KB