166 search results - page 11 / 34 » Mining High Utility Itemsets in Big Data |
DMKD
2004
ACM
15 years 3 months ago
2004
ACM
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
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KDD
2007
ACM
15 years 4 months ago
2007
ACM
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
IJFCS
2008
14 years 10 months ago
2008
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...
FIMI
2003
14 years 11 months ago
2003
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
SIGMOD
2010
ACM
15 years 3 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...