University of Konstanz
Graduiertenkolleg / PhD Program
Computer and Information Science

Graduation Talks


Parallel Data Mining Revisited - Getting Better, Not Faster


Zaenal Akbar, University Konstanz
Konstanz, Germany

date & place

Wednesday, 25.04.2012, 15:15 h
Room C252


Many parallelization methods for data mining have been introduced whereby the primary objective is to improve performance or handle more data. In addition to data mining performance (speed-up), another important as- pect is accuracy. In this work we would like to investigate a solution to improve the accuracy of a greedy heuristic, a widely used algorithm in data mining which leaves room for improvement by reducing its greediness. Index Terms—parallel, data mining, accuracy, greedy heuristic