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Data Mining and Constraint Programming

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching;

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Constraints in Computational Logics: Theory and Applications

Constraints provide a declarative way of representing infinite sets of data. They are well suited for combining different logical or;

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Principles of Constraint Programming

Scheduling, vehicle routing and timetabling are all examples of constraint problems, and methods to solve them rely on the idea;

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Ant Colony Optimization and Constraint Programming

author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint;

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Declarative Programming and Knowledge Management

and (Constraint) Logic Programming (WFLP 2013) and the 27th Workshop on Logic Programming (WLP 2013), held in Kiel, Germany, in September 2013;

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Geometric Constraint Solving and Applications

introductory chapter the role of constraints in CAD systems of the future and their implications for the STEP data exchange format are discussed. The;

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Handbook of Constraint Programming

artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied;

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Constraint-Based Reasoning

understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels;

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Constraint Logic Programming - Selected Research

book focuses on significant theoretical studies that propose general models for constraint programming, and the two following parts develop;

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Logical and Relational Learning

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self;

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Logical and Relational Learning

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self;

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Constraint Logic Programming Using Eclipse

Constraint logic programming lies at the intersection of logic programming, optimisation and artificial intelligence. It has proved a;

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Inductive Logic Programming

areas of learning in logic, relational learning, relational data mining, statistical relational learning, multi-relational data mining;

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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

This book constitutes the refereed proceedings of the Third International Conference on Integration of AI and OR Techniques in Constraint;

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Declarative Programming and Knowledge Management

Knowledge Management, INAP 2019, the 33rd Workshop on Logic Programming, WLP 2019, and the 27th Workshop on Functional and (Constraint) Logic;

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Statistical Data Analytics

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;

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Functional and Constraint Logic Programming

This book constitutes the refereed post-conference proceedings of the 28th International Workshop on Functional and Constraint Logic;

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Learn Data Mining Through Excel

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming;

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Principles and Practice of Constraint Programming

This book constitutes the proceedings of the 25th International Conference on Principles and Practice of Constraint Programming, CP 2019;

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Principles and Practice of Constraint Programming

This book constitutes the proceedings of the 26th International Conference on Principles and Practice of Constraint Programming, CP 2020;

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Data Mining

, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems;

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Data Mining

, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems;

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems;

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Learn R for Applied Statistics

data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics;

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Functional and Constraint Logic Programming

This book constitutes the refereed post-conference proceedings of the 26th International Workshop on Functional and Constraint Logic;

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The NCL Natural Constraint Language

modeling and solving constraint satisfaction problems. NCL differs from other declarative languages: It models problems naturally in a simplified;

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Advances in Artificial Intelligence

satisfaction, data mining, knowledge representation and reasoning, learning, natural language, and planning.;

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