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pro vyhledávání: '"Firat, Aykut"'
The shift towards global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and web
Externí odkaz:
http://hdl.handle.net/1721.1/3683
While there are efforts to establish a single international accounting standard, there are strong current and future needs to handle heterogeneous accounting methods and systems. We advocate a context-based approach to dealing with multiple accountin
Externí odkaz:
http://hdl.handle.net/1721.1/3680
Autor:
Firat, Aykut
Quantification is the machine learning task of estimating test-data class proportions that are not necessarily similar to those in training. Apart from its intrinsic value as an aggregate statistic, quantification output can also be used to optimize
Externí odkaz:
http://arxiv.org/abs/1606.00868
Autor:
Firat, Aykut
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2003.
Includes bibliographical references (p. 145-152).
With the advances in telecommunications, and the introduction of the Internet, information systems a
Includes bibliographical references (p. 145-152).
With the advances in telecommunications, and the introduction of the Internet, information systems a
Externí odkaz:
http://hdl.handle.net/1721.1/30013
Cameleon# is a web data extraction and management tool that provides information aggregation with advanced capabilities that are useful for developing value-added applications and services for electronic business and electronic commerce. To illustrat
Externí odkaz:
http://hdl.handle.net/1721.1/18231
This paper describes the coupling of contexts and ontologies for semantic integration in the ECOIN semantic interoperability framework. Ontological terms in ECOIN correspond to multiple related meanings in different contexts. Each ontology includes a
Externí odkaz:
http://hdl.handle.net/1721.1/17070
Autor:
Chatterjee, Sangit, Firat, Aykut
Publikováno v:
The American Statistician, 2007 Aug 01. 61(3), 248-254.
Externí odkaz:
https://www.jstor.org/stable/27643902
Publikováno v:
In Computational Statistics and Data Analysis 2007 51(12):6285-6294
Autor:
Firat, Aykut1 a.firat@neu.edu, Madnick, Stuart2 smadnick@mit.edu, Grosof, Benjamin2 bgrosof@mit.edu
Publikováno v:
Information Technology & Management. Jan2007, Vol. 8 Issue 1, p47-63. 17p. 9 Diagrams, 10 Charts.