48 search results - page 8 / 10 » An Improved EMASK Algorithm for Privacy-Preserving Frequent ... |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
EDBT
2008
ACM
14 years 7 months ago
2008
ACM
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems, faced in automa...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...