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» Evaluation of Sampling for Data Mining of Association Rules
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94
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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 1 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
107
Voted
TKDE
2002
133views more  TKDE 2002»
15 years 10 days ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
121
Voted
ESANN
2004
15 years 2 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
81
Voted
PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
15 years 5 months ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf
118
Voted
PADL
2000
Springer
15 years 4 months ago
Calculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Zhenjiang Hu, Wei-Ngan Chin, Masato Takeichi