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» Mining for Useful Association Rules Using the ATMS
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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 8 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 7 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
DKE
2007
115views more  DKE 2007»
13 years 7 months ago
An improved methodology on information distillation by mining program source code
This paper presents a methodology for knowledge acquisition from source code. We use data mining to support semiautomated software maintenance and comprehension and provide practi...
Yiannis Kanellopoulos, Christos Makris, Christos T...
FUIN
2000
109views more  FUIN 2000»
13 years 7 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
KES
2004
Springer
14 years 1 months ago
Multi-agent Web Recommendation Method Based on Indirect Association Rules
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Przemyslaw Kazienko