41 search results - page 2 / 9 » A Breadth-First Algorithm for Mining Frequent Patterns from ... |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
GFKL
2007
Springer
13 years 8 months ago
2007
Springer
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
MLDM
2009
Springer
13 years 11 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...