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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 29 days ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 6 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
128
Voted
KAIS
2008
150views more  KAIS 2008»
15 years 15 days ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
100
Voted
MIE
2008
177views Healthcare» more  MIE 2008»
15 years 2 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...
191
Voted
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
16 years 1 months ago
Programming Patterns for Architecture-Level Software Optimizations on Frequent Pattern Mining
One very important application in the data mining domain is frequent pattern mining. Various authors have worked on improving the efficiency of this computation, mostly focusing o...
Mingliang Wei, Changhao Jiang, Marc Snir