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IEAAIE
2009
Springer
14 years 10 days ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
IWSEC
2007
Springer
13 years 12 months ago
Privacy-Preserving Eigentaste-Based Collaborative Filtering
With the evolution of e-commerce, privacy is becoming a major concern. Many e-companies employ collaborative filtering (CF) techniques to increase their sales by providing truthfu...
Ibrahim Yakut, Huseyin Polat
ESANN
2004
13 years 7 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
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
13 years 7 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
USS
2008
13 years 8 months ago
Highly Predictive Blacklisting
The notion of blacklisting communication sources has been a well-established defensive measure since the origins of the Internet community. In particular, the practice of compilin...
Jian Zhang, Phillip A. Porras, Johannes Ullrich