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» Mining Frequent Patterns without Candidate Generation
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ICEIS
2009
IEEE
14 years 2 months ago
Minable Data Warehouse
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by ...
David Morgan, Jai W. Kang, James M. Kang
OTM
2007
Springer
14 years 2 months ago
Discovering Executable Semantic Mappings Between Ontologies
Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans ...
Han Qin, Dejing Dou, Paea LePendu
ICDE
2002
IEEE
106views Database» more  ICDE 2002»
14 years 9 months ago
OSSM: A Segmentation Approach to Optimize Frequency Counting
Computing the frequency of a pattern is one of the key operations in data mining algorithms. We describe a simple yet powerful way of speeding up any form of frequency counting sa...
Carson Kai-Sang Leung, Raymond T. Ng, Heikki Manni...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 8 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 2 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender