[Front matter]

fYear

2009

fDate

March 30 2009-April 2 2009

Abstract

The following topics are dealt with: ultra-low false alarm rate support vector classifier; collaborative filtering; self-organizing feature maps; probabilistic methods; fault tolerant peer-to-peer distributed EM algorithm; Bayesian network learning; E-mails; patient care patterns; electronic medical records mining; e-commerce; object-oriented software; medical diagnosis; fuzzy decision trees; data mining; data clustering algorithm; ant colony classification algorithms; Web mining; spatial-temporal data; and data streams.

Keywords

Internet; belief networks; data mining; electronic commerce; groupware; information filtering; medical administrative data processing; optimisation; patient diagnosis; pattern clustering; peer-to-peer computing; probability; self-organising feature maps; support vector machines; ; self-organizing feature maps; Bayesian network learning; E-mails; Web mining; ant colony classification algorithms; collaborative filtering; data clustering algorithm; data mining; data streams; e-commerce; electronic medical records mining; fault tolerant peer-to-peer distributed EM algorithm; fuzzy decision trees; medical diagnosis; object-oriented software; patient care patterns; spatial-temporal data; ultra-low false alarm rate support vector classifier;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Data Mining, 2009. CIDM '09. IEEE Symposium on

Conference_Location

Nashville, TN

Print_ISBN

978-1-4244-2765-9

Type

conf

DOI

10.1109/CIDM.2009.4938620

Filename

4938620