A review of data mining ontologies

PK Sinha, SB Gajbe, S Debnath, S Sahoo… - Data Technologies …, 2021 - emerald.com
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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 …

[PDF][PDF] Kddonto: An ontology for discovery and composition of kdd algorithms

C Diamantini, D Potena, E Storti - Third Generation Data Mining …, 2009 - academia.edu
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 …

Ontology-driven KDD process composition

C Diamantini, D Potena, E Storti - International Symposium on Intelligent …, 2009 - Springer
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 …

A virtual mart for knowledge discovery in databases

C Diamantini, D Potena, E Storti - Information Systems Frontiers, 2013 - Springer
The Web has profoundly reshaped our vision of information management and processing,
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

C Diamantini, D Potena, E Storti - Planning to Learn Workshop …, 2010 - zora.uzh.ch
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 …

[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 …

A Systematic Study for Organizing Research Topics in Ontology Data Mining Domain

S Defiyanti, A Ashari, D Lelono - 2022 5th International …, 2022 - ieeexplore.ieee.org
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 …

Data Semantics Meets Knowledge Discovery in Databases

C Diamantini, D Potena, E Storti - … the Italian Database Research Over the …, 2018 - Springer
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 …

[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 …