822 search results - page 7 / 165 » Case Mining from Large Databases |
SAC
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
CIT
2007
Springer
14 years 4 days ago
2007
Springer
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
BIBM
2007
IEEE
13 years 8 months ago
2007
IEEE
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
EDBT
2000
ACM
13 years 11 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
SBACPAD
2003
IEEE
14 years 1 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...