709 search results - page 17 / 142 » Constraint-Based Pattern Set Mining |
79
Voted
PAKDD
2009
ACM
15 years 4 months ago
2009
ACM
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
80
Voted
DAWAK
2009
Springer
15 years 1 months ago
2009
Springer
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
IDA
2005
Springer
15 years 3 months ago
2005
Springer
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
89
Voted
EDBT
2008
ACM
15 years 9 months ago
2008
ACM
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...