56 search results - page 3 / 12 » Mining Frequent Patterns with Counting Inference |
CIDM
2007
IEEE
13 years 7 months ago
2007
IEEE
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
IDA
2007
Springer
13 years 7 months ago
2007
Springer
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
ADC
2003
Springer
14 years 26 days ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
DMIN
2006
13 years 9 months ago
2006
We discovered that the set of frequent hybrid sequential patterns obtained by previous researches is incomplete, due to the inapplicability of the Apriori principle. We design and ...