KR And Model Discovery From Active DB WithPredictive Logic
C.F. Nourani,G.S.L. Loo +1 more
TLDR
Intelligent multimedia provides a basis as briefed here for designing active databases with agents, multimedia and intelligent business objects for automated learning and discovery and customizing interface design.Abstract:
Intelligent multimedia provides a basis as briefed here for designing active databases with agents, multimedia and intelligent business objects. The field of automated learning and discovery has obvious financial and organizational memory applications. Financial companies have begun to analyze their customers' behavior in order to maximize the effectiveness of marketing efforts. There are basic applications to data discovery techniques with intelligence multimedia databases. Management process controls at times calls on warehoused data and relies on organizational memory to reach decision. The computing techniques, the Morph Gentzen deductive system and its models are applied towards an active multimedia database warehousing, model discovery, and customizing interface design. Intelligent visual computing paradigms are applied to define the multimedia computing paradigm and active databases. The Multimedia paradigms can be applied to customize KM database views for financial and organizational memory applications.read more
Citations
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Proceedings ArticleDOI
The TAIM intelligent visual database
TL;DR: Intelligent multimedia provides a basis for designing databases with agents, multimedia and intelligent business objects and can be applied to databases and query-processing for stock markets.
Business Planning and Cross Organizational Models
TL;DR: The paper presents techniques to accomplish the basic goals cross-organizational process design on "Process Elicitation", "System Analysis", and “Learning Organizations” and a preliminary optimal game modeling technique is presented in brief.
Journal ArticleDOI
Predictive Control, Competitive Model Business Planning, and Innovation ERP
Cyrus F. Nourani,Codrina Lauth +1 more
TL;DR: New optimality principles are put forth based on competitive model business planning and a Generalized MinMax local optimum dynamic programming algorithm is presented and applied to business model computing where predictive techniques can determine local optima.
References
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Journal ArticleDOI
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Frances M. T. Brazier,Jan Treur +1 more
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Journal ArticleDOI
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field
TL;DR: This report summarizes the CONALD meeting, which took place June 11-13, 1998, at Carnegie Mellon University, and summarizes the results obtained in the individual workshops, discussing in depth promising research topics.
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