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» Mining Duplicate Tasks from Discovered Processes
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BMEI
2008
IEEE
14 years 4 months ago
Discovering Multi-dimensional Major Medicines from Traditional Chinese Medicine Prescriptions
Multi-dimensional major medicines analysis is one of the most important tasks in the data analysis of Traditional Chinese Medicine (TCM) prescriptions. In this paper, an effective...
Chuan Li, Changjie Tang, Chunqiu Zeng, Jiang Wu, Y...
LREC
2008
153views Education» more  LREC 2008»
13 years 11 months ago
Named Entity Relation Mining using Wikipedia
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
Adrian Iftene, Alexandra Balahur-Dobrescu
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 10 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
KDD
2003
ACM
214views Data Mining» more  KDD 2003»
14 years 10 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 3 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