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ESANN
2004
15 years 1 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
DATAMINE
2002
155views more  DATAMINE 2002»
14 years 11 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
CIKM
2010
Springer
14 years 10 months ago
Building re-usable dictionary repositories for real-world text mining
Text mining, though still a nascent industry, has been growing quickly along with the awareness of the importance of unstructured data in business analytics, customer retention an...
Shantanu Godbole, Indrajit Bhattacharya, Ajay Gupt...
ECWEB
2004
Springer
179views ECommerce» more  ECWEB 2004»
15 years 5 months 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...
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
14 years 9 months ago
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo