Site View Reconstruction Using 3D Modeling Techhiques
Dubravka Bošković, Srđan Popov, Miro Govedarica (2009)
Review of the National Center for Digitization
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Displaying similar documents to “Automation of the Moving Objects Movement Prediction Process Independent of the Application Area”
Site View Reconstruction Using 3D Modeling Techhiques
Rough modeling - a bottom-up approach to model construction
Terje Loken, Jan Komorowski (2001)
International Journal of Applied Mathematics and Computer Science
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Traditional data mining methods based on rough set theory focus on extracting models which are good at classifying unseen obj-ects. If one wants to uncover new knowledge from the data, the model must have a high descriptive quality-it must describe the data set in a clear and concise manner, without sacrificing classification performance. Rough modeling, introduced by Kowalczyk (1998), is an approach which aims at providing models with good predictive emphand descriptive qualities, in...
About integrity in security models.
Moldovan, Grigor, Văleanu, Mădălina (2004)
Acta Universitatis Apulensis. Mathematics - Informatics
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A Model for Data Mining System in Financial Crisis Management Based on Data Warehouse Concept
Ljiljana Kašćelan, Dragana Bečejski-Vujaklija (2005)
Computer Science and Information Systems
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Museum Information System of Serbia. Recent Approach to Database Modeling
Goran Gavrilović (2007)
Review of the National Center for Digitization
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TRANSCAT DSS architecture and modelling services
Jiri Horak, Jan Unucka, Josef Stromsky, Vladimir Marsik, Antonin Orlik (2006)
Control and Cybernetics
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Workflow Specification for Interaction Management between Experts in a Cooperative Remote Diagnosis Process
M. A. Laredj, K. Bouamrane (2011)
Computer Science and Information Systems
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Comparative Analysis: A Feasible Software Engineering Method
Maneva, Nelly (2007)
Serdica Journal of Computing
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The reasonable choice is a critical success factor for decision- making in the field of software engineering (SE). A case-driven comparative analysis has been introduced and a procedure for its systematic application has been suggested. The paper describes how the proposed method can be built in a general framework for SE activities. Some examples of experimental versions of the framework are brie y presented.
A Call Detail Records Data Mart: Data Modelling and OLAP Analysis
Dragana Ćamilović, Dragana Bečejski-Vujaklija, Nataša Gospić (2009)
Computer Science and Information Systems
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A rainfall forecasting method using machine learning models and its application to the Fukuoka city case
S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)
International Journal of Applied Mathematics and Computer Science
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In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...