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» Divide-and-Conquer Strategies for Process Mining
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ICDE
2006
IEEE
206views Database» more  ICDE 2006»
14 years 9 months ago
Query Co-Processing on Commodity Hardware
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
IJCNN
2007
IEEE
14 years 2 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
IPPS
2007
IEEE
14 years 2 months ago
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms
The knowledge discovery process is interactive in nature and therefore minimizing query response time is imperative. The compute and memory intensive nature of data mining algorit...
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shi...
AMINING
2003
Springer
293views Data Mining» more  AMINING 2003»
14 years 1 months ago
Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI
Abstract. MUSASHI is a set of commands which enables us to efficiently execute various types of data manipulations in a flexible manner, mainly aiming at data processing of huge a...
Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Tak...
HM
2005
Springer
98views Optimization» more  HM 2005»
14 years 1 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...