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Titlebook: Business Information Systems Workshops; BIS 2009 Internation Witold Abramowicz,Dominik Flejter Conference proceedings 2009 Springer-Verlag

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期刊全称Business Information Systems Workshops
期刊简称BIS 2009 Internation
影响因子2023Witold Abramowicz,Dominik Flejter
视频video
学科分类Lecture Notes in Business Information Processing
图书封面Titlebook: Business Information Systems Workshops; BIS 2009 Internation Witold Abramowicz,Dominik Flejter Conference proceedings 2009 Springer-Verlag
影响因子This book constitutes the proceedings of the nine workshops that were organized in conjunction with the Business Information Systems Conference, BIS 2009, taking place in Poznan, Poland, on April 27-29, 2009..The 34 papers presented were carefully reviewed and selected from 72 submissions. In addition, the volume contains the BIS 2009 keynote speech and two invited speeches presented at the workshops LIT and ECONOM/Enterprise X.0..The topics covered are DeepWeb (ADW), applications and economics of knowledge-based technologies (AKTB,  ECONOM), service-oriented architectures (SDS-SOA), legal IT (LIT), social Web and Web 2.0 (SAW, Enterprise X.0), e-learning (EeLT), and enterprise systems in higher education (ESHE).
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Using Semantics to Personalize Access to Data-Intensive Web Sourcess they pose a number of challenges to both machine and human users. They are dispersed and provide heterogeneous, rigid, site-specific and non-personalizable query and navigation interfaces. In this paper we present outline of method for accessing data from data-intensive Web sites in an uniform way
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AKTB Workshop Chairs’ Messagespecialists and market analysts, to share their research expertise and advanced knowledge in modeling innovative solutions for enterprise systems and processes, analytic insights and experimental research results of designing and applying computational intelligence methods in various fields of busin
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Identification of Unexpected Behavior of an Automatic Teller Machine Using Principal Component Analyhigh service costs it is very expensive to employ human operators to supervise all ATMs in an ATM network. This paper proposes an automatic identification procedure based on PCA models to supervise continually the ATM networks. This automatic procedure allows detecting the unexpected behavior of the
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