91 search results - page 17 / 19 » Mining frequent item sets by opportunistic projection |
SIGMOD
2005
ACM
14 years 1 months ago
2005
ACM
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
IJFCS
2008
13 years 7 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...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...