EventsMOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed.
Published
This submission belongs to the session 03. USEDAT-03: USA-EU Data Analysis Training Prog. Work., Cambridge, UK-Bilbao, Spain-Duluth, USA, 2017 of the event MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed.
Published date
04 Dec, 2017
Citation
Bernabe Ortega-Tenezaca, Carlos Israel Núñez Miranda, The KP algorithm for the analysis of the optimal flow of information, in Proceedings of MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed., 15 January–15 December 2017, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-03-05053
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The KP algorithm for the analysis of the optimal flow of information

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1. Universidad Estatal Amazónica, Ecuador
2. Universidad Técnica de Ambato, Ambato, Ecuador
Abstract

The purpose of the present research is to propose a solution to optimize the flow of institutional academic information, given that, for the economic moment in Ecuador, government budgetary allocations do not cover the investment deficit in the renovation, acquisition and technological updating, generating inconveniences in the flow of university information, in compliance with the Law Reforming the Law of Creation of the Amazon State University, which allows to extend the academic offer to different sectors of the region.

 The solution proposed is applied to the Academic Information System, where most of the records related to the generation of institutional evidences of university accreditation, internal control of academic processes, research, community ties and management are stored. The optimization analysis of the information flow is based on the application of the algorithm KP.

Keywords
Federated DataBase
Knapsack Problem
SGBDF
Poster
mol2net-03_MOL2NET-2017-BO.pdf
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