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» Mining Frequent Itemsets Using Genetic Algorithm
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COMPUTE
2010
ACM
15 years 2 months ago
Mining periodic-frequent patterns with maximum items' support constraints
The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from“rare item problem”while extracting frequent patterns. That...
R. Uday Kiran, P. Krishna Reddy
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
BPM
2005
Springer
126views Business» more  BPM 2005»
15 years 3 months ago
Genetic Process Mining: A Basic Approach and Its Challenges
One of the aims of process mining is to retrieve a process model from a given event log. However, current techniques have problems when mining processes that contain non-trivial co...
Ana Karla A. de Medeiros, A. J. M. M. Weijters, Wi...
APN
2005
Springer
15 years 3 months ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
HPCC
2007
Springer
15 years 3 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang