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of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as;
Vergelijkbare producten zoals Comparative Analysis of Deterministic and Nondeterministic Decision Trees
of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as;
Vergelijkbare producten zoals Comparative Analysis of Deterministic and Nondeterministic Decision Trees
recently that there has been broad interest in nondeterministic and even chaotic systems, not only in physics but in ecology and economics. On a;
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Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science;
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Fault tree analysis is an important technique in determining the safety and dependability of complex systems. Fault trees are used as a;
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Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical;
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decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal;
Vergelijkbare producten zoals Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions
decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal;
Vergelijkbare producten zoals Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions
deterministic and nondeterministic directable automata are dealt with. The book is self-contained and hence does not require any knowledge of automata;
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are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final;
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Vergelijkbare producten zoals DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: SUPPORT VECTOR MACHINE, LOGISTIC REGRESSION, DISCRIMINANT ANALYSIS and DECISION TREES
This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;
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of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book;
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This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this;
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accounting income and cash flow, to more advanced techniques including deterministic capital budgeting, risk simulation, and decision tree analysis;
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This book analyses the comparative efficiency of local electricity distributors in Italy using both econometric (deterministic and;
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, organizations, and policy. The author presents fundamental concepts (hierarchical holographic modeling; state space; decision analysis; multi-objective;
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introduction to methods of decision making. This book and accompanying suite of Excel add-ins for quantitative analysis covers Monte Carlo simulation;
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Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents;
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classification for tree species, conceptually simplifying the rain-forest community and making it more amenable to analysis.;
Vergelijkbare producten zoals The Ecology of Trees in the Tropical Rain Forest
classification for tree species, conceptually simplifying the rain-forest community and making it more amenable to analysis.;
Vergelijkbare producten zoals The Ecology of Trees in the Tropical Rain Forest
framework for assessing the value of potential data gathering schemes by integrating spatial modelling and decision analysis, with a focus on the;
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increasingly complex decision-making problems, it is important to learn and use methods and techniques including the analysis of behavioral data to;
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, integer linear programming, decision analysis, decision trees, queues, and Monte Carlo simulation. The book is aimed at students of business;
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instruct them in the skills to analyze algorithms used in programs. Students learn the basics of analysis; searching, selecting, and sorting;
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