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JDM
2007
99views more  JDM 2007»
14 years 11 months ago
Semantic Integration and Knowledge Discovery for Environmental Research
Environmental research and knowledge discovery both require extensive use of data stored in various sources and created in different ways for diverse purposes. We describe a new m...
Zhiyuan Chen, Aryya Gangopadhyay, George Karabatis...
SSD
1995
Springer
146views Database» more  SSD 1995»
15 years 3 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
15 years 1 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
15 years 5 months ago
The evolutionary computation approach to motif discovery in biological sequences
Finding motifs — patterns of conserved residues — within nucleotide and protein sequences is a key part of understanding function and regulation within biological systems. Thi...
Michael A. Lones, Andrew M. Tyrrell
ESWS
2007
Springer
15 years 6 months ago
SPARQLeR: Extended Sparql for Semantic Association Discovery
Complex relationships, frequently referred to as semantic associations, are the essence of the Semantic Web. Query and retrieval of semantic associations has been an important task...
Krys Kochut, Maciej Janik