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AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
FGCS
2007
78views more  FGCS 2007»
14 years 9 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...
IADIS
2008
14 years 11 months ago
Towards A Model-Driven Engineering Approach of Data Mining
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Jesús Pardillo, José Jacobo Zubcoff,...
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 1 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
PKDD
2007
Springer
114views Data Mining» more  PKDD 2007»
15 years 3 months ago
Robust Visual Mining of Data with Error Information
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
Jianyong Sun, Ata Kabán, Somak Raychaudhury