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Actionable knowledge discovery and delivery
WIREs Data Mining and Knowledge Discovery, 2012 AbstractActionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the one hand, data mining has been booming for a while and has attracted an increasing variety of increasing applications. On the other, it is a reality that the so‐called knowledge discovered from
Longbing Cao, Cao, L
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Knowledge discovery in ontologies
Intelligent Data Analysis, 2012Ontologies 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 paper introduces a new way for extracting implicit knowledge from ontologies by means of a link analysis of the T-box of the ontology integrated with a data mining step on the A ...
Furletti B., TURINI, FRANCO
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Artificial Intelligence Review, 2007
As knowledge discovery (KD) matures and enters the mainstream, there is an onus on the technology developers to provide the technology in a deployable, embeddable form. This transition from a stand-alone technology, in the control of the knowledgeable few, to a widely accessible and usable technology will require the development of standards.
Sarabjot S. Anand +6 more
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As knowledge discovery (KD) matures and enters the mainstream, there is an onus on the technology developers to provide the technology in a deployable, embeddable form. This transition from a stand-alone technology, in the control of the knowledgeable few, to a widely accessible and usable technology will require the development of standards.
Sarabjot S. Anand +6 more
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Visualization for knowledge discovery
International Journal of Intelligent Systems, 1992Summary: Although the fields of data visualization and automated knowledge discovery (AKD) share many goals, workers in each field have been reluctant to adopt the tools and methods of the other field. Many AKD researchers discourage the use of visualization tools because they believe that dependence on human steering will impede the development of ...
Georges G. Grinstein +3 more
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Knowledge Discovery in Databases
2019The huge amount of data, generated by daily-life data sources, represents a big opportunity for the development and advancement in several fields: scientific research, social life and industry. At the same time, analyzing these big repositories is a hard challenge, since the overload of information can overwhelm our capability of reading and ...
Massimo Guarascio +2 more
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Knowledge Discovery in Simulation Data
ACM Transactions on Modeling and Computer Simulation, 2020This article provides a comprehensive and in-depth overview of our work on knowledge discovery in simulations. Application-wise, we focus on manufacturing simulations. Specifically, we propose and discuss a methodology for designing, executing, and analyzing large-scale simulation experiments with a broad coverage of possible system behavior targeted ...
Niclas Feldkamp +2 more
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Using domain knowledge in knowledge discovery
Proceedings of the eighth international conference on Information and knowledge management, 1999With the explosive growth of the size of databases, many knowledge discovery applications deal with large quantities of data. There is an urgent need to develop methodologies which will allow the applications to focus search to a potentially interesting and relevant portion of the data, which can reduce the computational complexity of the knowledge ...
Suk-Chung Yoon +3 more
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Architecture for knowledge discovery and knowledge management
Knowledge and Information Systems, 2005In this paper, we propose I-MIN model for knowledge discovery and knowledge management in evolving databases. The model splits the KDD process into three phases. The schema designed during the first phase, abstracts the generic mining requirements of the KDD process and provides a mapping between the generic KDD process and (user) specific KDD ...
S. K. Gupta 0001 +2 more
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Knowledge Discovery in Services
IEEE Internet Computing, 2009Service mashups can be useful in understanding Web-scale workflows. Although creating a service mashup shares similar challenges with data integration, a more exciting aspect of this area is the ability to predict which services are viable candidates for a mashup.
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