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Concept Data Analysis
With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the full range of algorithms available for conceptual data analysis, spanning creation, maintenance, display and manipulation of concept lattices. The accompanying website allows you to gain a greater understanding of the principles covered in the book through actively working on the to...
Formal Concept Analysis
This volume contains the Proceedings of ICFCA 2005, the 3rd International Conference on Formal Concept Analysis. The ICFCA conference series aims to be the premier forum for the publication of advances in applied lattice and order theory, and in particular scienti?c advances related to formal concept analysis. Formal concept analysis is a ?eld of applied mathematics with its mat- matical root in order theory, in particular in the theory of complete lattices. Researchers had long been aware of the fact that these ?elds have many - tential applications. Formal concept analysis emerged in the 1980s from e?orts to restructure lattice theory to promote better communication between lattice theoris...
Conceptual Structures for Knowledge Creation and Communication
The book constitutes the refereed proceedings of the 11th International Conference on Conceptual Structures, ICCS 2003, held in Dresden, Germany in July 2003. The 23 revised full papers presented together with 5 invited papers were carefully reviewed and selected for presentation. The papers are organized in topical sections on the many facets of conceptual structures, logical and linguistic aspects, conceptual representation of time and space, deepening the formal theory and applications of conceptual structures.
A Guided Tour of Relational Databases and Beyond
Addressing important extensions of the relational database model, including deductive, temporal, and object-oriented databases, this book provides an overview of database modeling with the Entity-Relationship (ER) model and the relational model. The book focuses on the primary achievements in relational database theory, including query languages, integrity constraints, database design, computable queries, and concurrency control. This reference will shed light on the ideas underlying relational database systems and the problems that confront database designers and researchers.
Conceptual Structures: Broadening the Base
This book constitutes the refereed proceedings of the 9th International Conference on Conceptual Structures, ICCS 2001, held in Stanford, CA, USA in July/August 2001. The 26 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. The book offers topical sections on language and knowledge structures, logical and mathematical foundations of conceptual structures, conceptual structures for data and knowledge bases, conceptual structures and meta-data, and algorithms and systems.
Decision & Control in Management Science
Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems. Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.
Relational and Algebraic Methods in Computer Science
This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 13, held in Cambridge, UK, in September 2012. The 23 revised full papers presented were carefully selected from 39 submissions in the general area of relational and algebraic methods in computer science, adding special focus on formal methods for software engineering, logics of programs and links with neighboring disciplines. The papers are structured in specific fields on applications to software specification and correctness, mechanized reasoning in relational algebras, algebraic program derivation, theoretical foundations, relations and algorithms, and properties of specialized relations.
Formal Concept Analysis
This book constitutes the refereed proceedings of the 5th International Conference on Formal Concept Analysis, ICFCA 2007, held in Clermont-Ferrand, France in February 2007. The 19 revised full papers presented together with 1 invited lecture comprise state of the art research from foundational to applied lattice theory and related fields, all of which involve methods and techniques of formal concept analysis.
Conceptual Structures: Common Semantics for Sharing Knowledge
This book constitutes the refereed proceedings of the 13th International Conference on Conceptual Structures, ICCS 2005, held in Kassel, Germany, in July 2005. The 23 revised full papers presented together with 9 invited papers were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on theoretical foundations, knowledge engineering and tools, and knowledge acquisition and ontologies.
Soft Computing for Risk Evaluation and Management
Risk is a crucial element in virtually all problems people in diverse areas face in their activities. It is impossible to find adequate models and solutions without taking it into account. Due to uncertainty and complexity in those problems, traditional "hard" tools and techniques may be insufficient for their formulation and solution. This is the first book in the literature that shows how soft computing methods (fuzzy logic, neural networks, genetic algorithms, etc.) can be employed to deal with various problems related to risk analysis, evaluation and management in various fields of technology, environment and finance.
