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IISWC
2006
IEEE
15 years 3 months ago
MineBench: A Benchmark Suite for Data Mining Workloads
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
Ramanathan Narayanan, Berkin Özisikyilmaz, Jo...
ISI
2007
Springer
14 years 9 months ago
Privacy Preserving Collaborative Data Mining
Privacy-preserving data mining is an important issue in the areas of data mining and security. In this paper, we study how to conduct association rule mining, one of the core data...
Justin Z. Zhan
EUROPAR
2007
Springer
15 years 3 months ago
Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations?
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi...
MIE
2008
177views Healthcare» more  MIE 2008»
14 years 11 months ago
Process Mining Techniques: an Application to Stroke Care
In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To a...
Ronny Mans, Helen Schonenberg, Giorgio Leonardi, S...
AAAI
2000
14 years 10 months ago
A Mutually Beneficial Integration of Data Mining and Information Extraction
Text mining concerns applying data mining techniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data...
Un Yong Nahm, Raymond J. Mooney