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» Mining Inheritance Rules from Genealogical Data
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EDBT
2000
ACM
15 years 4 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
AMINING
2003
Springer
261views Data Mining» more  AMINING 2003»
15 years 5 months ago
Micro View and Macro View Approaches to Discovered Rule Filtering
A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and may contain unreasonable facts...
Yasuhiko Kitamura, Akira Iida, Keunsik Park
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
15 years 6 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
15 years 5 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
GRC
2010
IEEE
15 years 25 days ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo