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» Component mining: a process and its pattern language
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DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 10 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
EMNLP
2009
13 years 6 months ago
Enhancement of Lexical Concepts Using Cross-lingual Web Mining
Sets of lexical items sharing a significant aspect of their meaning (concepts) are fundamental in linguistics and NLP. Manual concept compilation is labor intensive, error prone a...
Dmitry Davidov, Ari Rappoport
AAAI
2006
13 years 10 months ago
Monitoring Food Safety by Detecting Patterns in Consumer Complaints
EPFC (Emerging Patterns in Food Complaints) is the analytical component of the Consumer Complaint Monitoring System, designed to help the food safety officials to efficiently and ...
Artur Dubrawski, Kimberly Elenberg, Andrew W. Moor...
COMPSAC
2008
IEEE
14 years 3 months ago
Transformation of Legacy Software into Client/Server Applications through Pattern-Based Rearchitecturing
In this article, we address the problem of modularizing legacy applications with monolithic structure, primarily focusing on business software written in an objectoriented program...
Sascha Hunold, Matthias Korch, Björn Krellner...
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
14 years 26 days ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...