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IEAAIE
2005
Springer
14 years 2 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
BMCBI
2008
204views more  BMCBI 2008»
13 years 9 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 8 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
SSD
1997
Springer
140views Database» more  SSD 1997»
14 years 1 months ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
IJCSA
2007
98views more  IJCSA 2007»
13 years 8 months ago
Extracted Knowledge Interpretation in mining biological data: a survey
This paper discusses different approaches for integrating biological knowledge in gene expression analysis. Indeed we are interested in the fifth step of microarray analysis pro...
Martine Collard, Ricardo Martínez