873 search results - page 62 / 175 » Reducing the Frequent Pattern Set |
GBRPR
2007
Springer
14 years 2 months ago
2007
Springer
Segmentation algorithms based on an energy minimisation framework often depend on a scale parameter which balances a fit to data and a regularising term. Irregular pyramids are de...
ADBIS
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we consider concurrent execution of multiple data mining queries in the context of discovery of frequent itemsets. If such data mining queries operate on similar part...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
There has been a lot of recent interest in mining patterns from graphs. Often, the exact structure of the patterns of interest is not known. This happens, for example, when molecu...