A review of data mining ontologies
A review of data mining ontologies | Emerald Insight Books and journals Case studies Expert
Briefings Open Access Publish with us Advanced search A review of data mining ontologies …
Briefings Open Access Publish with us Advanced search A review of data mining ontologies …
A data mining system for providing analytical information on brain tumors to public health decision makers
RS Santos, SMF Malheiros, S Cavalheiro… - Computer methods and …, 2013 - Elsevier
Cancer is the leading cause of death in economically developed countries and the second
leading cause of death in developing countries. Malignant brain neoplasms are among the …
leading cause of death in developing countries. Malignant brain neoplasms are among the …
[PDF][PDF] Kddonto: An ontology for discovery and composition of kdd algorithms
Knowledge Discovery in Databases (KDD) is a highly complex process, where a lot of tools
are needed to achieve the discovery goal. It implies that an user has both to choose the …
are needed to achieve the discovery goal. It implies that an user has both to choose the …
Ontology-driven KDD process composition
One of the most interesting challenges in Knowledge Discovery in Databases (KDD) field is
giving support to users in the composition of tools for forming a valid and useful KDD …
giving support to users in the composition of tools for forming a valid and useful KDD …
A virtual mart for knowledge discovery in databases
The Web has profoundly reshaped our vision of information management and processing,
enlightening the power of a collaborative model of information production and consumption …
enlightening the power of a collaborative model of information production and consumption …
[PDF][PDF] Supporting users in kdd processes design: a semantic similarity matching approach
Data Mining has reached a quite mature and sophisticated stage, with a plethora of
techniques to deal with complex data analysis tasks. In contrast, the capability of users to …
techniques to deal with complex data analysis tasks. In contrast, the capability of users to …
[图书][B] From business goals to analytics and machine learning solutions: a conceptual modeling framework
S Nalchigar - 2020 - search.proquest.com
Abstract Machine learning and analytical techniques are increasingly becoming an integral
part of many types of information systems. Despite the hype around these technologies …
part of many types of information systems. Despite the hype around these technologies …
A Systematic Study for Organizing Research Topics in Ontology Data Mining Domain
Ontology has played a significant role in various domains for the organization of computer-
managed knowledge in recent years. Ontology is used to organize and classify objects in …
managed knowledge in recent years. Ontology is used to organize and classify objects in …
Data Semantics Meets Knowledge Discovery in Databases
In the last 30 years two important fields were born and have developed rapidly: knowledge
discovery and knowledge management based on semantics. In the present chapter we …
discovery and knowledge management based on semantics. In the present chapter we …
[PDF][PDF] Toward effective support for data mining using intelligent discovery assistance
F Serban - 2013 - zora.uzh.ch
Abstract Living in the Information Age, Knowledge Discovery for Large Databases (KDD)
plays a crucial role in analyzing the ever increasing amount of data. People need access to …
plays a crucial role in analyzing the ever increasing amount of data. People need access to …