375 search results - page 12 / 75 » Finding Sequential Patterns from Large Sequence Data |
ADBIS
2000
Springer
15 years 1 months ago
2000
Springer
Conducting data mining on logs of web servers involves the determination of frequently occurring access sequences. We examine the problem of finding traversal patterns from web lo...
PRIB
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
IDA
2007
Springer
14 years 9 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
IDA
2005
Springer
15 years 3 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
BIBM
2007
IEEE
14 years 9 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...