rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Cognition-Driven Decision Support for Business Intelligence
    sub title: Models, Techniques, Systems and Applications
  name:
    name part: Niu, Li.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Lu, Jie.
    role:
      role term: author.
  name:
    name part: Zhang, Guangquan.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 237 p. online resource.
  abstract: Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor. This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input; extraction of SA semantics; construction of data warehouse queries based on the manger’s SA and experience; situation information retrieval from data warehouse; how the manager perceives situation information and update SA; how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of…
  table of contents: Concepts -- Decision Making and Decision Support Systems -- Business Intelligence -- Managerial Cognition -- Cognition in Business Decision Support Systems -- Models -- Cognition-Driven Decision Processes -- Techniques -- Domain Knowledge Representation and Processing -- Natural Language Processing for Situation Awareness -- Data Warehouse Query Construction and Situation Presentation -- Systems and Applications -- A Cognition-Driven Decision Support System: FACETS -- Evaluation of Algorithms and FACETS -- Application Cases of FACETS.
  note: by Li Niu, Jie Lu, Guangquan Zhang.
  subject:
    topic: Engineering
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Business mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Business Mathematics
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: IT in Business
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 238
  identifier: 9783642032080
  identifier: http://dx.doi.org/10.1007/978-3-642-03208-0
  record info:
    record creation date: 100301
    record change date: 20151204165302.0
    record identifier: 978-3-642-03208-0