Results 211 to 220 of about 567,216 (263)

Architecture for knowledge discovery and knowledge management

Knowledge and Information Systems, 2005
In 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, Vasudha Bhatnagar, Siri Krishan Wasan   +2 more
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Knowledge Discovery in Neuroinformatics

2009
Traditionally, the process of turning data into biomedical knowledge has involved “manual” meta-analyses of results reported in journals. Since the amount of scientific data produced in neuroscience today increases dramatically, the resultant expansion of the medical databases has created a significant potential for the design of ...
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Knowledge Discovery in Services

IEEE Internet Computing, 2009
Service 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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Knowledge discovery with NEFCLASS

KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002
In order to use fuzzy systems for knowledge discovery, we need algorithms to induce comprehensible fuzzy systems from data. The comprehensibility of a fuzzy model is mainly determined by its number of rules and variables, but also by meaningful membership functions.
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Applications of Knowledge Discovery

2005
Knowledge Discovery from Databases (KDD) - also named Data Mining - is a growing field since 10 years which combines techniques from databases, statistics, and machine learning. Applications of KDD most often have one of the following goals: - Customer relationship management: who are the best customers, which products are to be offered to which ...
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Adversarial Knowledge Discovery

IEEE Intelligent Systems, 2009
In adversarial settings, knowledge discovery must be dynamic, adapting to both the changing face of normality and the rapidly changing properties of adversaries.
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Knowledge discovery in GenBank.

Proceedings. International Conference on Intelligent Systems for Molecular Biology, 1995
We describe various methods designed to discover knowledge in the GenBank nucleic acid sequence database. Using a grammatical model of gene structure, we create a parse tree of a gene using features listed in the FEATURE TABLE. The parse tree infers features that are not explicitly listed, but which follow from the listed features.
Jeffery S. Aaronson, Juergen Haas, G. Christian Overton   +2 more
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Knowledge Discovery on Scopus. [PDF]

, 2017
Scopus is a well known repository of metadata about scientific research articles. In this work, we gather data from this repository to create a social graph of scientific authors, starting from citations among their articles. Moreover, using data mining techniques, we infer some relevant research topics for each author, from the textual analysis of the
Fornacciari, Paolo, Mordonini, Monica, Nonelli, Michele, Sani, Laura, Tomaiuolo, Michele   +4 more
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Knowledge discovery by inspection

Decision Support Systems, 1997
Abstract Given the enormous size of many business databases, algorithms for knowledge discovery can often be applied to only a sample of the original data. Other methods used to improve efficiency include focusing on a restricted class of rules such as exact rules, or limiting the number of conditions in the discovered rules.
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Discovery of Knowledge in Practice

The American Journal of Occupational Therapy
Abstract Given the number of occupational therapy doctorate (OTD) programs and graduates with professional doctoral degrees, the concept of practice scholarship is increasingly important. The scholarly work of occupational therapy practitioners guided by a research model is appropriate for those who have trained as researchers or OTD ...
Penelope, Moyers, Nicole, Quint
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