Описание: Describes advanced statistical modeling and knowledge representation techniques for an area of machine learning and probabilistic reasoning. This volume includes introductory material, tutorials for different proposed approaches, and applications.
Описание: The book constitutes the joint refereed proceedings of the 9th International Conference on Relational Methods in Computer Science, RelMiCS 2006, and the 4th International Workshop on Applications of Kleene Algebras, AKA 2006, held in Manchester, UK in August/September 2006.The 25 revised full papers presented together with 2 invited papers and the abstract of an invited talk were carefully reviewed and selected from 44 submissions. The papers are devoted to the theory of relation algebras, Kleene algebras, and related formalisms as well as to their diverse applications in software engineering, databases, and artificial intelligence; a special focus is on formal methods, logics of programs, and links to neighbouring disciplines.
Описание: Information is a valuable resource to an organization. Computer software provides an efficient means of processing information, and database systems are becoming an increasingly common means by which it is possible to store and retrieve information in an effective manner. This book provides comprehensive coverage of fundamentals of database management systems. This book is for those who wish a better understanding of relational data modeling, its purpose, its nature, and the standards used in creating relational data models.
Автор: M?ller Название: Relational Knowledge Discovery ISBN: 052112204X ISBN-13(EAN): 9780521122047 Издательство: Cambridge Academ Рейтинг: Цена: 4255 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches.
Автор: Whitehorn Mark, Marklyn Bill Название: Inside Relational Databases ISBN: 1852334010 ISBN-13(EAN): 9781852334017 Издательство: Springer Рейтинг: Цена: 4175 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second edition of the best-selling Inside Relational Databases is revised and updated to bring you the most reader-friendly explanation of the relational model and its importance to database designers and builders.Clear explanations make use of examples rather than equations to show you how an understanding of the relational model can make your databases faster, more flexible and thoroughly fit for their purpose.Dr Mark Whitehorn has an extensive understanding of relational database theory and his popular and long running database column in the UK's "Personal Computer World" has already made database theory accessible to thousands.Bill Marklyn has an intimate knowledge of relational databases and was the Development Manager who oversaw the entire design of the first two major releases of Microsoft's highly successful database product, Access.Together they make a great team, illuminating a tricky subject with substance and style.Reviews from the first edition of Inside Relational Databases:"Quite simply - superb. By making relational databases understandable, Mark Whitehorn and Bill Marklyn have achieved far more than most. Making the subject interesting and entertaining as well puts these two authors firmly in a class of their own."- Neil Fawcett, Group Technical Editor, VNU Business Publications"PCW and Amazon.co.uk contributor Mark Whitehorn is that rare combination - an expert in his field, databases, and a fine writer too, with a talent for honing a complex subject down to its essentials."- Tamsin Todd, Computer & Internet Editor, Amazon.co.uk"Inside Relational Databases is excellent. It is clearly and concisely written and full of humorous asides which ease the reader through an otherwise weighty topic. Probably the most engaging technical book I have read."- Paul McGowan
Описание: This book constitutes the thoroughly refereed joint post-proceedings of the 6th International Conference on Relational Methods in Computer Science, RelMICS 2001 and the 1st Workshop of COST Action 274 TARSKI, Theory and Application of Relational Structures as Knowledge Instruments held in Oisterwijk, The Netherlands, in October 2001.The 20 revised full papers presented together with an invited paper were carefully reviewed and selected. The papers are organized in topical sections on algebraic and logical foundations of real world relations, mechanization of relational reasoning, and relational scaling and preferences.
Описание: The first two editions of Inside Relational Databases have both been best sellers. These new editions will also cover the relational database model but will use different engines to illustrate the model. In doing so, readers will be able to apply the model using their preferred database engine. Initially three versions are planned starting with Access, SQL Server and my SQL.The books show just how simple and useful databases can be. No prior knowledge is required i.e. real world examples show how to manage data efficiently. A significant amount of new material is included in the core of the book and particular emphasis is given to showing how to make a database run faster and more efficiently.
Описание: Human language and our use of it to communicate or to understand the world requires deriving relations among events: for example, if A=B and A=C, then B=C. Relational frame theory argues that such performances are at the heart of any meaningful psychology of language and cognition. From a very early age, human beings learn relations of similarity, difference, comparison, time, and so on, and modify what they do in a given situation based on its derived relation to others situations and what is known about them. This volume goes beyond theory and gives the empirical and conceptual tools to conduct an experimental analysis of virtually every substantive topic in human language and cognition, both basic and applied. As the term `post-Skinnerian' suggests, this volume challenges behavioral psychology to abandon many of the specific theoretical formulations of its most prominent historical leader in the domain of complex human behavior, especially in human language and cognition, and approach the field from a new direction.The need for a pragmatically useful analysis of language and cognition is as enormous and varied as its extensions and applications. This volume will be of interest not only to behavior theorists but also to cognitive psychologists, therapists, educators, and anyone studying the human condition.
Автор: Tom Johnston Название: Managing Time in Relational Databases, ISBN: 0123750415 ISBN-13(EAN): 9780123750419 Издательство: Elsevier Science Рейтинг: Цена: 6265 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Managing Time in Relational Databases: How to Design, Update and Query Temporal Data introduces basic concepts that will enable businesses to develop their own framework for managing temporal data. It discusses the management of uni-temporal and bi-temporal data in relational databases, so that they can be seamlessly accessed together with current data; the encapsulation of temporal data structures and processes; ways to implement temporal data management as an enterprise solution; and the internalization of pipeline datasets. . The book is organized into three parts. Part 1 traces the history of temporal data management and presents a taxonomy of bi-temporal data management methods. Part 2 provides an introduction to Asserted Versioning, covering the origins of Asserted Versioning; core concepts of Asserted Versioning; the schema common to all asserted version tables, as well as the various diagrams and notations used in the rest of the book; and how the basic scenario works when the target of that activity is an asserted version table. Part 3 deals with designing, maintaining, and querying asserted version databases. It discusses the design of Asserted Versioning databases; temporal transactions; deferred assertions and other pipeline datasets; Allen relationships; and optimizing Asserted Versioning databases.
Автор: Pivert Olivier Название: Fuzzy Preference Queries to Relational Databases ISBN: 1848168691 ISBN-13(EAN): 9781848168695 Издательство: World Scientific Publishing Рейтинг: Цена: 12884 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers.This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book.Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques.The only other books which deal with this topic are edited books or conference proceedings which include a few contributions about some specific aspects of the question. This book provides a comprehensive view of the issue, starting with basic notions related to relational databases and fuzzy set theory, up to the detailed study of complex fuzzy queries and the way they can be efficiently processed. It is the compendium of more than 20 years of research by the authors who benefit from a great international recognition in the domain of intelligent information systems, on the subject.
Описание: During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.
Описание: This book constitutes the thoroughly refereed joint postproceedings of the 7th International Seminar on Relational Methods in Computer Science and the 2nd International Workshop on Applications of Kleene Algebra held in Bad Malente, Germany in May 2003.The 21 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers address foundational and methodological aspects of the calculi of relations and Kleene algebra as well as applications of such methods in various areas of computer science and information processing.
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