440 search results - page 23 / 88 » An Abstract Data Type for Real Numbers |
CINQ
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
PAMI
2012
11 years 11 months ago
2012
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
AIA
2007
13 years 10 months ago
2007
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
ICDE
2007
IEEE
14 years 10 months ago
2007
IEEE
Uncertainty in categorical data is commonplace in many applications, including data cleaning, database integration, and biological annotation. In such domains, the correct value o...
DMIN
2006
13 years 10 months ago
2006
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...