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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
APN
2005
Springer
16 years 8 days ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
176
Voted
ECWEB
2004
Springer
179views ECommerce» more  ECWEB 2004»
16 years 3 days ago
Applying Text Mining on Electronic Messages for Competitive Intelligence
This paper presents how text -mining techniques can be used to analyze an enterprise’s external environment searching for competitors, related products and services, marketing st...
José Palazzo Moreira de Oliveira, Stanley L...
189
Voted
ICDM
2002
IEEE
138views Data Mining» more  ICDM 2002»
15 years 11 months ago
Extraction Techniques for Mining Services from Web Sources
The Web has established itself as the dominant medium for doing electronic commerce. Consequently the number of service providers, both large and small, advertising their services...
Hasan Davulcu, Saikat Mukherjee, I. V. Ramakrishna...
DATAMINE
2000
118views more  DATAMINE 2000»
15 years 6 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...