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5 edition of Context sensitive decision support systems found in the catalog.

Context sensitive decision support systems

IFIP TC8 / WG8.3 International Conference on Context-Sensitive Decision Support Systems, 13-15 July 1998, Bled, Slovenia

by IFIP TC8/WG8.3 International Conference on Context-Sensitive Decision Support Systems (1998 Bled, Slovenia)

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  • 23 Currently reading

Published by Chapman & Hall in London, New York .
Written in English

    Subjects:
  • Decision support systems -- Congresses,
  • Management information systems -- Congresses

  • Edition Notes

    Statementedited by Dina Berkeley ... [et al.].
    ContributionsBerkeley, Dina, 1951-, International Federation for Information Processing.
    Classifications
    LC ClassificationsHD30.213 .I3 1998
    The Physical Object
    Paginationxi, 265 p. :
    Number of Pages265
    ID Numbers
    Open LibraryOL82452M
    ISBN 100412837404
    LC Control Number99188042
    OCLC/WorldCa40107587

    Definition of Spatial Decision Support Systems “Interactive computer systems designed to support a user or a group of users in achieving a higher effectiveness of decision making while solving a semimaking while solving a semi-structured spatial decision problemstructured spatial decision problem” (Sugumaran et File Size: KB. non-supported situation. The decision context helps determine what information is needed to support decision making. Understanding the context of managerial decision-making is important in building decision support applications. The decision-making context defines both the potential for and the limits to decision Size: 5KB.

    This section explains and defines context sensitive solutions (CSS), provides a brief history of events, explains why CSS is important to transportation agencies, discusses efforts to institutionalize CSS, and describes how CSS applies to all areas of transportation program delivery. Context sensitive BIM based applications should consider the state of decision making a user is in. The main point to consider here is whether the user already made a decision and plans to use the BIM based application to communicate this decision to others, or whether the user is in the process of making a decision and, thus, the BIM based application needs to support the Learn more in.

    While context should be considered in the design and evaluation of health information systems (HISs) there is a shortcoming of empirical research on contextual aspects of HIT. This conference integrates the sociotechnical and Human-Centered-Design (HCD) approaches and showcases current research on context sensitive health informatics. Decision support systems aim mainly at this broadest type of decision making, and in addition to supporting choice, they aid in modeling and analyzing systems (such as complex organizations), identifying decision opportunities, and structuring decision Size: KB.


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Context sensitive decision support systems by IFIP TC8/WG8.3 International Conference on Context-Sensitive Decision Support Systems (1998 Bled, Slovenia) Download PDF EPUB FB2

It contains selected papers presented and discussed at the International Conference on Context-Sensitive Decision Support Systems, which was sponsored by the International Federation for Information Processing (IFIP) and held in Bled, Slovenia in July Get this from a library.

Context sensitive decision support systems: IFIP TC8 / WG International Conference on Context-Sensitive Decision Support Systems JulyBled, Slovenia.

[Dina Berkeley; George R Widmeyer; Patrick Brezillon; Vladislav Rajkovič;] -- In today's rapidly changing educational and business climate, organizational transformation has become a key area of. Get this from a library. Context sensitive decision support systems: IFIP TC8 / WG International Conference on Context-Sensitive Decision Support Systems, JulyBled, Slovenia.

[Dina Berkeley; International Federation for Information Processing.;]. Tables and Figures p. ix Preface p. xi Acknowledgments p. xv 1 Supporting Business Decision Making p. 1 Introduction p. 1 A Brief History of Decision Support Systems p.

2 A Conceptual Perspective p. 5 Decision Support vs. Transaction Processing Systems p. 8 Categorizing DSS Applications and Products p. 9 An Expanded Decision Support System Framework p. 12 Building Decision Support Systems p 3/5(1).

This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques.

Written by an international array of DSS luminaries, its more than 70 chapters approach decision support systems from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic.

The volume examines data warehouses, intelligent software agents and DSS system development, as well as an introduction to decision support systems, decision in the organization, modeling decision processes, group decision support and groupware technologies, executive information systems, expert systems and artificial intelligence, knowledge Cited by: The book also has several good general chapters that provide an overview and describe different types of decision support systems.

It includes sections on object-oriented systems and knowledge management (KM) systems. It is pretty theoretical and covers a lot of material, yet it's my favorite text for its purpose. /5(15). In book: Decision Support System in Agriculture using Quantitative Analysis, Chapter: Decision support systems: an Overview, Publisher: Agrotech Publishing Academy, Editors: Rajni Jain and S S Author: Rajni Jain.

Context-sensitive solutions (CSS) is a theoretical and practical approach to transportation decision-making and design that takes into consideration the communities and lands through which streets, roads, and highways pass ("the context"). The term is closely related to but distinguishable from context-sensitive design in that it asserts that all decisions in transportation planning, project.

As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator.

Written by an international array of DSS luminaries, its more than 70 chapters approach decision support systems from a. Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications.

DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining. A context-sensitive user interface is one which can automatically choose from a multiplicity of options based on the current or previous state(s) of the program operation.

Context sensitivity is almost ubiquitous in current graphical user interfaces, usually in the form of context t sensitivity, when operating correctly, should be practically transparent to the user.

How these refined data points can be linked into actionable with shortest path to result is context sensitive and requires human due diligence in roll out to address the timing aspects & operating constraints. From GRC point of view any org would always have clear accountability defined till Author: Sam Ransbotham.

A support system provides tools and technologies to leverage the power of the human capacity to think and to solve problems ().In so doing, a support system augments and enhances selected mental capacities involving memory, computation, analysis, visualization, representation, reasoning.

Context Sensitive Health Informatics is about health information technologies and their environments. Environments may be people in different roles such as citizens, patients, users, designers, and evaluators, but also non-human constructs such as organizations, work practices, guidelines and protocols, buildings and markets.

Decision Support Systems in the 21st Century book. Read reviews from world’s largest community for readers. Packed with essential information, this valua /5(19). Miah, Shah Jahan, Gammack, J and Kerr, Debra () Ontology development for context-sensitive decision support.

In: Proceedings, Third International Conference on Semantics, Knowledge and Grid: SKG Zhang, Y, ed. IEEE Computer Society, Los Alamitos, California, pp.

Full text for this resource is not available from the Research Repository. DECISION SUPPORT SYSTEMS Decision support systems are interactive, computer-based systems that aid users in judgment and choice activities. They provide data storage and retrieval, but enhance the traditional information access and retrieval functions with File Size: KB.

The Internet-based Decision Support Systems. A Decision Support Systems (DSS) integrates a user-friendly front end to often complex models, knowledgebases, expert systems, and database technologies (Coulson et al., ; Jones ).

DSS are important component of IPM informatics. Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems.

Discussions focus on classification Book Edition: 1.Context-sensitive L-systems Figure 6: The growing of a context-sensitive L-system plant. To simulate the effect of the flow of nutrients or hormones in plant growing, we have to consider the interaction between adjacent plant parts.

A (k,l)-system, the most general context-sensitive L .Context-Sensitive Information Presentation The goal is to put the Soldier in control of the decision support environment Approach: • Design, prototype, test and validate state-of-the-art displays to include different modalities of information presentation and interaction • Visual • Tactile • Thermal • Natural Language (speech and text).