244 search results - page 9 / 49 » Two-Phase Algorithms for a Novel Utility-Frequent Mining Mod... |
107
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PAMI
2008
14 years 11 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
JCP
2006
14 years 11 months ago
2006
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
124
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KDD
2004
ACM
16 years 1 days ago
2004
ACM
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...