10 search results - page 2 / 2 » Mining for Strong Negative Associations in a Large Database ... |
BMCBI
2007
13 years 5 months ago
2007
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
PKDD
2007
Springer
13 years 11 months ago
2007
Springer
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
KDD
2001
ACM
14 years 5 months ago
2001
ACM
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
ESANN
2004
13 years 6 months ago
2004
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...