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Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
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ASIN: 3790813281 |
Book Description
Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.
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Applied Decision Support with Soft Computing (Studies in Fuzziness and Soft Computing)
Manufacturer: Springer
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Binding: Hardcover
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ASIN: 3540024913 |
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Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.
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Data Mining and Computational Intelligence (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
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Binding: Hardcover
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ASIN: 3790813710 |
Book Description
The volume offers a comprehensive coverage of the recent advances in the application of soft computing and fuzzy logic theory to data mining and knowledge discovery databases. It focuses on some of the hardest, and yet unsolved, issues of data mining like understandability of patterns, finding complex relationships between attributes, handling missing and noisy data, mining very large datasets, change detection in time series, and integration of the discovery process with database management systems.
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Fuzziness in Database Management Systems (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
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Binding: Hardcover
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ASIN: 379080858X |
Book Description
This book provides a comprehensive treatise on the use of fuzzy sets, fuzzy logic, and possibility theory for dealing with imprecise and vague information in database management systems. First, general issues related to vague and imprecise data are discussed. Next, fuzzy and possibilistic extensions of data models and database architectures are presented. Second, the use of fuzzy sets, fuzzy logic and possibility theory in information retrieval and querying to attain more flexible and "human-consistent" querying capabilities is discussed. Theoretical works and implemented systems for commercial database management systems are discussed. A fuzzy approach to database security is considered. The particular articles are written by leading authorities from all over the world.
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Fuzzy Database Modeling (Studies in Fuzziness and Soft Computing)
Adnan Yazici , and
Roy George
Manufacturer: Physica-Verlag Heidelberg
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ASIN: 3790811718 |
Book Description
Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations.
The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book.
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Knowledge Management in Fuzzy Databases (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
ProductGroup: Book
Binding: Hardcover
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ASIN: 3790812552 |
Book Description
The volume presents recent developments in the introduction of fuzzy, probabilistic and rough elements into basic components of fuzzy databases, and their use (notably querying and information retrieval), from the point of view of data mining and knowledge discovery. The main novel aspect of the volume is that issues related to the use of fuzzy elements in databases, database querying, information retrieval, etc. are presented and discussed from the point of view, and for the purpose of data mining and knowledge discovery that are "hot topics" in recent years. This may be useful for both people involved in theoretical research, education, and even the design and implementation of working computer systems.
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Recent Issues on Fuzzy Databases (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
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Binding: Hardcover
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ASIN: 3790813192 |
Book Description
This book focuses on the recent research issues regarding the application of fuzzy set theory to extend the functionalities of database management systems.
During the past 5 years, the research in this field has moved from a merely theoretical framework mainly addressing the definition of fuzzy extensions of the relational database model to the consideration of other, object-oriented database paradigms, also in relation to their implementation and application in specific contexts (e.g. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulating interest in the field of fuzzy databases, the book aims to show that the research carried out so far has matured some fuzzy extensions of classical databases that are feasible to be implemented and applied fruitfully in real applications.
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Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
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ASIN: 3790811203 |
Book Description
The ideas and techniques worked out in
Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.
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Soft Computing in Information Retrieval: Techniques and Applications (Studies in Fuzziness and Soft Computing)
Manufacturer: Physica-Verlag Heidelberg
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ASIN: 3790812994 |
Book Description
Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of "partially intrinsic" in the IR process and to make the systems adaptive, i.e. able to "learn" the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.
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Soft Computing in Measurement and Information Acquisition (Studies in Fuzziness and Soft Computing)
Manufacturer: Springer
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Binding: Hardcover
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ASIN: 3540002464 |
Book Description
The vigorous development of the internet and other information technologies have significantly expanded the amount and variety of sources of information available on decision making. This book presents the current trends of soft computing applications to the fields of measurements and information acquisition. Main topics are the production and presentation of information including multimedia, virtual environment, and computer animation as well as the improvement of decisions made on the basis of this information in various applications ranging from engineering to business. In order to make high-quality decisions, one has to fuse information of different kinds from a variety of sources with differing degrees of reliability and uncertainty. The necessity to use intelligent methodologies in the analysis of such systems is demonstrated as well as the inspiring relation of computational intelligence to its natural counterpart. This book includes several contributions demonstrating a further movement towards the interdisciplinary collaboration of the biological and computer sciences with examples from biology and robotics.
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