25 search results - page 3 / 5 » Mining rank-correlated sets of numerical attributes |
DMKD
1997
ACM
13 years 10 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
ICMCS
2009
IEEE
13 years 3 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
VLDB
2007
ACM
14 years 6 months ago
2007
ACM
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
BIOSTEC
2008
13 years 7 months ago
2008
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing generated nutritional patterns using F...