Data Mining Algorithms

Disk-based algorithms to scale-up data mining task

Tutors

Tania Cerquitelli, Silvia Chiusano

 Issues

  • Huge amount of data
  • Most algorithms exploit ad-hoc main memory data structures to efficiently perform data mining
    • These approaches rely on the available physical memory and may run out of memory when the analysis is performed on very large databases

Goal

  • design of disk-based structures and algorithms to efficiently support clustering algorithms
  • data mining optimizer to automatically select appropriate  algorithms and data access methods for frequent  itemset mining
  • text mining by exploiting data mining techniques   (e.g., clustering, association rules) in different application domain
  • study of parallel and distributed algorithms to scale itemset mining


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