Add to ORKGThis paper is concerned with the integration of ontology engineering and the process of knowledge discovery in databases (KDD).It presents a hybrid life, Ontology Driven Knowledge Discovery process and methodology – ODKD, which leverages both ontology engineering and KDD taking in consideration the best industry and research practices. A brief application of the life cycle is described at the end of the paper
this article, we present an approach for ontology -based KM that includes a suite of ontologybased ...
Abstract The process of knowledge discovery in databases (KDD) is traditionally driven by human exp...
International audienceThis paper deals with knowledge integration in a data mining process. We sugge...
The explosive growth in the volume of data and the growing number of disparate data sources is bring...
Abstract:- The dramatically explosion of data and the growing number of different data sources are e...
Knowledge management is a process which comprises knowledge discovery, knowledge collection, knowled...
Knowledge discovery in databases (KDD) is an iterative multi-stage process for extracting useful, no...
We present work in progress on a new methodology for leveraging the semantic content of ontologies t...
One of the most interesting challenges in Knowledge Discovery in Databases (KDD) field is giving sup...
Knowledge discovery in evolving domains presents several challenges in information extraction and kn...
Knowledge Discovery in Databases (KDD), as any scientific experimentation in e-Science, is a comple...
Over the last years, collaborative research has been continuously growing in many scientific areas s...
International audienceIn this paper, we present research trends carried out in the Orpailleur team a...
This dissertation proposes a novel methodology for knowledge discovery in large data sets, with a fo...
Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process that requi...
this article, we present an approach for ontology -based KM that includes a suite of ontologybased ...
Abstract The process of knowledge discovery in databases (KDD) is traditionally driven by human exp...
International audienceThis paper deals with knowledge integration in a data mining process. We sugge...
The explosive growth in the volume of data and the growing number of disparate data sources is bring...
Abstract:- The dramatically explosion of data and the growing number of different data sources are e...
Knowledge management is a process which comprises knowledge discovery, knowledge collection, knowled...
Knowledge discovery in databases (KDD) is an iterative multi-stage process for extracting useful, no...
We present work in progress on a new methodology for leveraging the semantic content of ontologies t...
One of the most interesting challenges in Knowledge Discovery in Databases (KDD) field is giving sup...
Knowledge discovery in evolving domains presents several challenges in information extraction and kn...
Knowledge Discovery in Databases (KDD), as any scientific experimentation in e-Science, is a comple...
Over the last years, collaborative research has been continuously growing in many scientific areas s...
International audienceIn this paper, we present research trends carried out in the Orpailleur team a...
This dissertation proposes a novel methodology for knowledge discovery in large data sets, with a fo...
Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process that requi...
this article, we present an approach for ontology -based KM that includes a suite of ontologybased ...
Abstract The process of knowledge discovery in databases (KDD) is traditionally driven by human exp...
International audienceThis paper deals with knowledge integration in a data mining process. We sugge...