10 search results - page 2 / 2 » Mining association rules from databases with continuous attr... |
KDD
2004
ACM
14 years 5 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
SBACPAD
2003
IEEE
13 years 10 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
SCCC
2000
IEEE
13 years 9 months ago
2000
IEEE
Knowledge discovery is the most desirable end product of an enterprise information system. Researches from different areas recognize that a new generation of intelligent tools for...
BMCBI
2006
13 years 4 months ago
2006
Background: Biological processes are mediated by networks of interacting genes and proteins. Efforts to map and understand these networks are resulting in the proliferation of int...
BMCBI
2008
13 years 5 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...