Cantitate/Preț
Produs

Intelligent Systems for Knowledge Management: Studies in Computational Intelligence, cartea 252

Editat de Edward Szczerbicki
en Limba Engleză Paperback – 14 mar 2012
New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 89667 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 14 mar 2012 89667 lei  6-8 săpt.
Hardback (1) 90250 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 30 sep 2009 90250 lei  6-8 săpt.

Din seria Studies in Computational Intelligence

Preț: 89667 lei

Preț vechi: 109350 lei
-18% Nou

Puncte Express: 1345

Preț estimativ în valută:
17166 18711$ 14434£

Carte tipărită la comandă

Livrare economică 17-31 decembrie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642260636
ISBN-10: 3642260632
Pagini: 344
Ilustrații: XII, 331 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.48 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems.- Neural Networks in Model Predictive Control.- Application of a Multi-domain Knowledge Structure: The Decisional DNA.- Intelligent-Based Mobility Models for Data Management in Wireless Sensor Networks.- Abductive Inference Based Approach to DSS Designing for Project Portfolio Planning.- CSP Techniques for Solving Combinatorial Queries within Relational Databases.- Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps - A Comparative Study.- An Architecture for the Semantic Enhancement of Virtual Engineering Applications.- Effective Backbone Techniques for Ontology Integration.- Cluster Analysis in Personalized E-Learning Systems.- Agent-Based Modelling and Analysis of Air Traffic Organisations.- Identification of Contact Conditions by Active Force Sensing.- Modelling User-Centric Pervasive Adaptive Systems – The REFLECT Ontology.

Textul de pe ultima copertă

New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Caracteristici

Presents latest results on intelligent systems for knowledge management