Readings in Artificial Intelligence and Databases
Readings in Artificial Intelligence and Databases

Author: John Mylopoulos

Publisher: Morgan Kaufmann

Published: 2014-06-28

Total Pages: 697

ISBN-13: 0080886620

DOWNLOAD EBOOK

The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.

Readings in Artificial Intelligence and Databases
Readings in Artificial Intelligence and Databases

Author: John Mylopoulos

Publisher: Morgan Kaufmann

Published: 1989

Total Pages: 700

ISBN-13: 9780934613538

DOWNLOAD EBOOK

The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.

Data Mining
Data Mining

Author: Ian H. Witten

Publisher: Elsevier

Published: 2011-02-03

Total Pages: 665

ISBN-13: 0080890369

DOWNLOAD EBOOK

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Readings in Database Systems
Readings in Database Systems

Author: Joseph M. Hellerstein

Publisher: MIT Press

Published: 2005

Total Pages: 884

ISBN-13: 9780262693141

DOWNLOAD EBOOK

The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.

Handbook of Adhesive Raw Materials
Handbook of Adhesive Raw Materials

Author: Ernest W. Flick

Publisher: William Andrew

Published: 1989-12-31

Total Pages: 995

ISBN-13: 081551185X

DOWNLOAD EBOOK

Revised from the 1982 edition. The 1988 market for adhesives and sealants was estimated at $5.1 billion, with projections for 1995 at $12 billion. This handbook contains descriptions of some 2200 materials which are currently available to the industry. Arrangement is by category and then by company, the products being listed under the company name and described in the manufacturer's words. Annotation copyrighted by Book News, Inc., Portland, OR

Generalisation of Geographic Information
Generalisation of Geographic Information

Author: William A. Mackaness

Publisher: Elsevier

Published: 2011-07-28

Total Pages: 387

ISBN-13: 0080524745

DOWNLOAD EBOOK

Theoretical and Applied Solutions in Multi Scale Mapping Users have come to expect instant access to up-to-date geographical information, with global coverage--presented at widely varying levels of detail, as digital and paper products; customisable data that can readily combined with other geographic information. These requirements present an immense challenge to those supporting the delivery of such services (National Mapping Agencies (NMA), Government Departments, and private business. Generalisation of Geographic Information: Cartographic Modelling and Applications provides detailed review of state of the art technologies associated with these challenges, including the most recent developments in cartometric analysis techniques able to support high levels of automation among multi scale derivation techniques. The book illustrates the application of these ideas within existing and emerging technologies. In addition to providing a comprehensive theoretical underpinning, the book demonstrates how theoretical developments have translated into commercial systems deployed within NMAs. The book explores relevance of open systems in support of collaborative research and open source web based map services. State of the art review on multi scale representation techniques Detailed consideration of database requirements and object modeling in support of emerging applications (3D, mobile) and innovative delivery (map generalisation services) Illustration through existing map production environment implementations Consolidated bibliography (680 entries), 200 illustrations, author and subject index

Readings in Object-Oriented Database Systems
Readings in Object-Oriented Database Systems

Author: Stanley B. Zdonik

Publisher: Morgan Kaufmann

Published: 1990

Total Pages: 646

ISBN-13: 9781558600003

DOWNLOAD EBOOK

This comprehensive collection is a survey of research in object-oriented databases, offering a substantive overview of the field, section introductions, and over 40 research papers presented in their original scope and detail. The balanced selection of articles presents a confluence of ideas from both the language and database research communities that have contributed to the object-oriented paradigm. The editors develop a general definition and model for object-oriented databases and relate significant research efforts to this framework. Further, the collection explores the fundamental notions behind object-oriented databases, semantic data models, implementation of object-oriented systems, transaction processing, interfaces, and related approaches. Research and theory are balanced by applications to CAD systems, programming environments, and office information systems.

Data Mining
Data Mining

Author: Bhavani Thuraisingham

Publisher: CRC Press

Published: 2014-01-23

Total Pages: 292

ISBN-13: 1482252503

DOWNLOAD EBOOK

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup

Formal Methods in Databases and Software Engineering
Formal Methods in Databases and Software Engineering

Author: V.S. Alagar

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 201

ISBN-13: 1447132130

DOWNLOAD EBOOK

Logic and object-orientation have come to be recognized as being among the most powerful paradigms for modeling information systems. The term "information systems" is used here in a very general context to denote database systems, software development systems, knowledge base systems, proof support systems, distributed systems and reactive systems. One of the most vigorously researched topics common to all information systems is "formal modeling". An elegant high-level abstraction applicable to both application domain and system domain concepts will always lead to a system design from "outside in"; that is, the aggregation of ideas is around real-life objects about which the system is to be designed. Formal methods \yhen applied with this view in mind, especially during early stages of system development, can lead to a formal reasoning on the intended properties, thus revealing system flaws that might otherwise be discovered much later. Logic in different styles and semantics is being used to model databases and their transactions; it is also used to specify concurrent, distributed, real-time, and reactive systems. ,The notion of "object" is central to the modeling of object oriented databases, as well as object-oriented design and programs in software engineering. Both database and software engineering communities have undoubtedly made important contributions to formalisms based on logic and objects. It is worthwhile bringing together the ideas developed by the two communities in isolation, and focusing on integrating their common strengths.