499 search results - page 41 / 100 » PRICES: An Efficient Algorithm for Mining Association Rules |
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
We presenthere an approachand algorithm for mining generalizedterm associations.The problem is to find co-occurrencefrequenciesof terms, given a collection of documents eachwith r...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
JDWM
2007
13 years 7 months ago
2007
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...