41 search results - page 5 / 9 » Finding frequent items in probabilistic data |
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example i...
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
PODS
2006
ACM
15 years 9 months ago
2006
ACM
Finding icebergs ? items whose frequency of occurrence is above a certain threshold ? is an important problem with a wide range of applications. Most of the existing work focuses ...
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...