1836 search results - page 285 / 368 » Mining Clustering Dimensions |
128
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KDD
2006
ACM
16 years 3 months ago
2006
ACM
Partitions of sequential data exist either per se or as a result of sequence segmentation algorithms. It is often the case that the same timeline is partitioned in many different ...
113
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
124
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ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
127
Voted
ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
113
Voted
ICDM
2006
IEEE
15 years 9 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...