Intelligent techniques and tools for novel system architectures /

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Bibliographic Details
Imprint:Berlin : Springer, ©2008.
Description:1 online resource (x, 547 pages) : illustrations.
Language:English
Series:Studies in Computational Intelligence, 1860-949X ; 109
Studies in computational intelligence ; 109.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11070076
Hidden Bibliographic Details
Other authors / contributors:Panagiotis, Chountas.
Petrouniass, Ilias.
Kacprzyk, Janusz.
ISBN:9783540776239
3540776230
3540776214
9783540776215
9783540776215
Notes:Includes bibliographical references.
Print version record.
Summary:This volume provides a source wherein academics, researchers and practitioners may derive high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent systems where information and knowledge management should be mainly characterised as a net-centric infrastructure riding on the fifth wave of "distributed intelligence". An urgent need for editing such a volume has occurred as a result of vivid discussions and presentations at the "IEEE-IS{u2019} 2006 {u2013} The 2006 Third International IEEE Conference on Intelligent Systems" held in London, UK, at the University of Westminster in the beginning of September, 2006. This book is a compilation of many valuable inspiring works written by both the conference participants and some other experts in this new and challenging field.
Other form:Print version: Intelligent techniques and tools for novel system architectures. Berlin : Springer, ©2008 9783540776215 3540776214
Table of Contents:
  • Intelligent-Enterprises and Service Orchestration
  • Applying Data Mining Algorithms to Calculate the Quality of Service of Workflow Processes
  • Utilisation Organisational Concepts and Temporal Constraints for Workflow Optimisation
  • Extending the Resource-Constrained Project Scheduling Problem for Disruption Management
  • Intelligent Search and Querying
  • On the Evaluation of Cardinality-Based Generalized Yes/No Queries
  • Finding Preferred Query Relaxations in Content-Based Recommenders
  • Imprecise Analogical and Similarity Reasoning about Contextual Information
  • Fuzzy Sets and Systems
  • A Method for Constructing V. Young{u2019}s Fuzzy Subsethood Measures and Fuzzy Entropies
  • An Incremental Learning Structure Using Granular Computing and Model Fusion with Application to Materials Processing
  • Switched Fuzzy Systems: Representation Modelling, Stability Analysis, and Control Design
  • On Linguistic Summarization of Numerical Time Series Using Fuzzy Logic with Linguistic Quantifiers
  • Biomedical and Health Care Systems
  • Using Markov Models for Decision Support in Management of High Occupancy Hospital Care
  • A Decision Support System for Measuring and Modelling the Multi-Phase Nature of Patient Flow in Hospitals
  • Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation
  • Support Vector Machines and Neural Networks as Marker Selectors in Cancer Gene Analysis
  • An Intelligent Decision Support System in Wireless-Capsule Endoscopy
  • Knowledge Discovery and Management
  • Formal Method for Aligning Goal Ontologies
  • Smart Data Analysis Services
  • Indexing Evolving Databases for Itemset Mining
  • Likelihoods and Explanations in Bayesian Networks
  • Towards Elimination of Redundant and Well Known Patterns in Spatial Association Rule Mining
  • Alternative Method for Incrementally Constructing the FP-Tree
  • Intuitonistic Fuzzy Sets and Systems
  • On the Intuitionistic Fuzzy Implications and Negations
  • On the Probability Theory on the Atanassov Sets
  • Dilemmas with Distances Between Intuitionistic Fuzzy Sets: Straightforward Approaches May Not Work
  • Fuzzy-Rational Betting on Sport Games with Interval Probabilities
  • Atanassov{u2019}s Intuitionistic Fuzzy Sets in Classification of Imbalanced and Overlapping Classes
  • Representation of Value Imperfection with the Aid of Background Knowledge: H-IFS
  • Tracking Systems
  • Tracking of Multiple Target Types with a Single Neural Extended Kalman Filter
  • Tracking Extended Moving Objects with a Mobile Robot
  • A Bayesian Solution to Robustly Track Multiple Objects from Visual Data.