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  • Search: subject:"Electronic computers. Computer science"
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Subject
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Electronic computers. Computer science 64 Electronic computers. Computer science. Computer software 26 Management. Industrial Management 19 HF Commerce 12 Library Science. Information Science 7 HB Economic Theory 4 QA 75 Electronic computers. Computer science 4 Computer software 3 HG Finance 3 QA Mathematics 3 T Technology (General) 3 Q Science (General) 2 BF Psychology 1 Business 1 Economic Theory 1 Electronic information resources 1 G Geography. Anthropology. Recreation 1 H Social Sciences 1 HC Economic History and Conditions 1 HD Industries. Land use. Labor 1 HE Transportation and Communications 1 Higher Education 1 L Education 1 Mathematical statistics 1 Probabilities 1 SD Forestry 1 T Technology 1 TK Electrical engineering. Electronics Nuclear engineering 1 TL Motor vehicles. Aeronautics. Astronautics 1 TS Manufactures 1
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Online availability
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Free 68 Undetermined 22
Type of publication
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Article 72 Book / Working Paper 22
Type of publication (narrower categories)
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Congress Report 24 Thesis 12
Language
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Undetermined 63 English 30 German 1
Author
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Harris, Lisa 7 English, C. 5 Terzis, S. 5 Sinnott, R.O. 4 Angelov, Plamen 3 Nixon, P. 3 Wagealla, W. 3 Baesens, Bart 2 Corea, Stephen 2 Dennis, Charles 2 Files, Craig M. 2 Jackson, Paul 2 Lowe, H. 2 McGettrick, A. 2 Mues, Christophe 2 Shao, Jianhua 2 Stell, A.J. 2 Vanthienen, Jan 2 Watt, J. 2 Abdul Majid, Mazlina 1 Abramowicz, W 1 Al-Khouri, Ali Mohammed S. M. 1 Alonso, G 1 Amati, G. 1 Anand, Sarabjot Singh 1 Anderson, A 1 Ansell, D. 1 ArroyoFigueroa, G 1 Aspinall, R.J. 1 Ayios, Angela 1 Aylett, Ruth 1 Bal, Jay 1 Bapat, R.B. 1 Beck, J.C. 1 Beetz, Michael 1 Bernardos, AM 1 Beynon, Malcolm James 1 Biundo, Susanne 1 Bloom, Nick 1 Bocaniala, C. D. 1
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BASE 94
Showing 51 - 60 of 94
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IT sourcing reflections - Lessons for customers and suppliers
2003
For more than a decade, the authors have studied the best, worst, and emerging information technology sourcing practices in 543 large and small organizations world-wide. From an initial focus on cost reduction in the early 1990s, the authors found that customers now expect many business...
Persistent link: https://www.econbiz.de/10009468872
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How corporations e-source: From business technology projects to value networks
2003
A 78 organization study in USA, Europe and Australasia throughout 1999-2001 finds a variety of practices in sourcing the development and running of technology and e-businesses in value networks. The paper points to trade-offs in e-sourcing decisions, not least between speed to the net, cost, and...
Persistent link: https://www.econbiz.de/10009469218
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Impact on online technologies for e-music supplier networks
Hardaker, Glenn; Graham, Gary - 2003
There have been many claims that the Internet will revolutionise the way organisations do business. Though the Internet is increasingly encroaching on every facet of business life, the evidence for its transformative powers is still weak. However, there is one business sector where it does...
Persistent link: https://www.econbiz.de/10009474498
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Technological roadmap on AI planning and scheduling
Biundo, Susanne; Aylett, Ruth; Beetz, Michael; Borrajo, … - 2003
At the beginning of the new century, Information Technologies had become basic and indispensable constituents of the production and preparation processes for all kinds of goods and services and with that are largely influencing both the working and private life of nearly every citizen. This...
Persistent link: https://www.econbiz.de/10009474503
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Interval macroscopic models for traffic networks.
Gning, A. C.; Mihaylova, Lyudmila; Boel, R. - 2011
The development of real-time traffic models is of paramount importance for the purposes of optimising traffic flow. Inspired by the compositional model (CM) [1] and the METANET model [2], [3], this paper proposes an interval approach for macroscopic traffic modeling. We develop an interval...
Persistent link: https://www.econbiz.de/10009433541
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Probabilistic models of information retrieval based on measuring the divergence from randomness
Amati, G.; Van Rijsbergen, C.J. - 2002
We introduce and create a framework for deriving probabilistic models of Information Retrieval. The models are nonparametric models of IR obtained in the language model approach. We derive term-weighting models by measuring the divergence of the actual term distribution from that obtained under...
Persistent link: https://www.econbiz.de/10009455549
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Using simulation to explore trust lifecycle issues
Terzis, S.; English, C.; Stevenson, G.; Lowe, H.; … - 2002
Simulation is a vital tool in research methods for investigating lifecycle issues in critical application areas, such as scenarios involving trust. Our trust model is premised on the belief that the ability to form and evolve explicit values for trust in other principals in an interaction allows...
Persistent link: https://www.econbiz.de/10009484404
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A review of the IT outsourcing empirical literature and future research directions
Lacity, Mary; Khan, Shaji; Yan, Aihua; Willcocks, Leslie P. - 2010
An enormous amount of information has been produced about the IT outsourcing phenomenon over the last 20 years, but one has to look to the academic literature for consistent, objective, and reliable research approaches and analyses. Our review finds that, in practice, the academic literature on...
Persistent link: https://www.econbiz.de/10009440155
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Anonymizing Transaction Data to Eliminate Sensitive Inferences
Loukides, Grigorios; Gkoulalas-Divanis, Aris; Shao, Jianhua - 2010
Publishing transaction data containing individuals? activities may risk privacy breaches, so the need for anonymizing such data before their release is increasingly recognized by organizations. Several approaches have been proposed recently to deal with this issue, but they are still inadequate...
Persistent link: https://www.econbiz.de/10009483209
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When can two unsupervised learners achieve PAC separation?
Helmbold, D (contributor); Williamson, B (contributor) - 2001
In this paper we study a new restriction of the PAC learning framework, in which each label class is handled by an unsupervised learner that aims to fit an appropriate probability distribution to its own data. A hypothesis is derived by choosing, for any unlabeled instance, the label whose...
Persistent link: https://www.econbiz.de/10009468910
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