65 search results - page 2 / 13 » Distributed Data Mining vs. Sampling Techniques: A Compariso... |
PPOPP
2005
ACM
13 years 11 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
CHES
2006
Springer
13 years 9 months ago
2006
Springer
Template Attacks and the Stochastic Model provide advanced methods for side channel cryptanalysis that make use of `a-priori' knowledge gained from a profiling step. For a sys...
IPPS
2006
IEEE
13 years 11 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
IIR
2010
13 years 7 months ago
2010
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
ICDM
2009
IEEE
14 years 7 days ago
2009
IEEE
—Eigenvalue analysis is an important aspect in many data modeling methods. Unfortunately, the eigenvalues of the sample covariance matrix (sample eigenvalues) are biased estimate...