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[PDF][PDF] A study of different association rule mining techniques
RZI Hussain, SK Srivatsa - International Journal of Computer …, 2014 - academia.edu
ABSTRACT Association Rule Mining (ARM) is one of the major data mining methods used to
mine hidden knowledge from databases that can be used by an organization's decision …
mine hidden knowledge from databases that can be used by an organization's decision …
Module and method for searching named entity of terms from the named entity database using named entity database and mining rule merged ontology schema
(57) ABSTRACT A module and method for determining a named entity of a terminology
using a named entity dictionary and a mining rule combined with an ontology schema is …
using a named entity dictionary and a mining rule combined with an ontology schema is …
Knowledge discovery in ontologies
Ontologies allow us to represent knowledge and data in implicit and explicit ways. Implicit
knowledge can be derived by means of several deductive logic-based processes. This …
knowledge can be derived by means of several deductive logic-based processes. This …
[PDF][PDF] Ontological support for association rule mining
This paper describes some improvements of our previous work that realizes an integrated
framework for extracting constraint-based multi-level association rules with an ontology …
framework for extracting constraint-based multi-level association rules with an ontology …
[PDF][PDF] OntoAR: an ontology for unification and description of association rules
K Benali, SA Rahal - International Review of Computers and …, 2013 - researchgate.net
This article is concerned with the merging of two active research domains: Knowledge
Discovery in Databases (KDD) and Knowledge Engineering (KE) with a main interest in …
Discovery in Databases (KDD) and Knowledge Engineering (KE) with a main interest in …
Mining disease integrated ontology
Ontology has become a very vital issue to solve important issues regarding human diseases
through data integration of chemical and biological data. Mining such data discovers highly …
through data integration of chemical and biological data. Mining such data discovers highly …
[PDF][PDF] OntoWM: An Ontology for Unification and Description of Web Mining.
K Benali, SA Rahal - ICAASE, 2014 - ceurspt.wikidata.dbis.rwth-aachen …
This article is concerned with the merging of two active research domains: Knowledge
Discovery in Databases (KDD) and Knowledge Engineering (KE) with a main interest in …
Discovery in Databases (KDD) and Knowledge Engineering (KE) with a main interest in …
What Else Can Be Extracted from Ontologies? Influence Rules
A method for extracting new implicit knowledge from ontologies by using an
inductive/deductive approach is presented. The new extracted knowledge takes the form of If …
inductive/deductive approach is presented. The new extracted knowledge takes the form of If …
[PDF][PDF] Mining Influence Rules out of Ontologies.
A method for extracting new implicit knowledge from ontologies by using an
inductive/deductive approach is presented. By analyzing the relationships that already exist …
inductive/deductive approach is presented. By analyzing the relationships that already exist …