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ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...