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AAAI
2010
13 years 9 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 2 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...
JUCS
2007
99views more  JUCS 2007»
13 years 7 months ago
Consensus Determining with Dependencies of Attributes with Interval Values
: In this paper the author considers some problems related to attribute dependencies in consensus determining. These problems concern the dependencies of attributes representing th...
Michal Zgrzywa
DEXA
1998
Springer
97views Database» more  DEXA 1998»
13 years 12 months ago
Attribute-Pair Range Rules
This paper examines the properties of metadata in the form of IF THEN rules which contain two predicates on attributes of a relational database table. For example: a(15 .. 30) d(2...
Jerome Robinson, Barry G. T. Lowden
JAIR
2008
173views more  JAIR 2008»
13 years 7 months ago
Creating Relational Data from Unstructured and Ungrammatical Data Sources
In order for agents to act on behalf of users, they will have to retrieve and integrate vast amounts of textual data on the World Wide Web. However, much of the useful data on the...
Matthew Michelson, Craig A. Knoblock