Chapter

Advanced Data Mining and Applications

Volume 3584 of the series Lecture Notes in Computer Science pp 315-322

Heuristic Scheduling of Concurrent Data Mining Queries

  • Marek WojciechowskiAffiliated withInstitute of Computing Science, Poznan University of Technology
  • , Maciej ZakrzewiczAffiliated withInstitute of Computing Science, Poznan University of Technology

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Execution cost of batched data mining queries can be reduced by integrating their I/O steps. Due to memory limitations, not all data mining queries in a batch can be executed together. In this paper we introduce a heuristic algorithm called CCFull,which suboptimally schedules the data mining queries into a number of execution phases. The algorithm significantly outperforms the optimal approach while providing a very good accuracy.