65 search results - page 5 / 13 » Distributed Data Mining vs. Sampling Techniques: A Compariso... |
ISI
2008
Springer
13 years 7 months ago
2008
Springer
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
BMCBI
2004
13 years 7 months ago
2004
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
SIGMOD
2010
ACM
14 years 16 days ago
2010
ACM
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...