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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 5 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
RSP
1998
IEEE
188views Control Systems» more  RSP 1998»
15 years 8 months ago
Performance and Interface Buffer Size Driven Behavioral Partitioning for Embedded Systems
One of the major differences in partitioning for codesign is in the way the communication cost is evaluated. Generally the size of the edge cut-set is used. When communication bet...
T.-C. Lin, Sadiq M. Sait, Walling R. Cyre
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 4 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
IDEAL
2003
Springer
15 years 9 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
WEBI
2005
Springer
15 years 10 months ago
Measuring the Relative Performance of Schema Matchers
Schema matching is a complex process focusing on matching between concepts describing the data in heterogeneous data sources. There is a shift from manual schema matching, done by...
Shlomo Berkovsky, Yaniv Eytani, Avigdor Gal