This compilation of award-winning and award-nominated contributions from the Decision Sciences Institute's most recent conferences illuminates exceptionally high-value applications and research on analytics for decision-making, revealing powerful new opportunities for competitiv…
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machine…
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The premier open source ETL tool is at your command with this recipe-packed cookbook. Learn to use data sources in Kettle, avoid pitfalls, and dig out the advanced features of Pentaho Data Integration the easy way. Intergrate Kettle in integration with other components of the Pe…
Section I: Food security policy analysis -- 1. Introduction to food security: concepts and measurement -- 2. Implications of technological change, post-harvest technology and technology adoption for improved food security - application of t- Statistic -- 3. Effects of commercial…
Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to …
Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to …
Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to …
