<p><p>These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical
Transactions on Computational Collective Intelligence XXV
β Scribed by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Cezary OrΕowski, Artur ZiΓ³Εkowski (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2016
- Tongue
- English
- Leaves
- 159
- Series
- Lecture Notes in Computer Science 9990
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-fifth issue contains 8 carefully selected and revised contributions.
β¦ Table of Contents
Front Matter....Pages I-XI
High-Level Model for the Design of KPIs for Smart Cities Systems....Pages 1-14
Implementation of Business Processes in Smart Cities Technology....Pages 15-28
Designing Aggregate KPIs as a Method of Implementing Decision-Making Processes in the Management of Smart Cities....Pages 29-42
Smart Cities System Design Method Based on Case Based Reasoning....Pages 43-58
Model of an Integration Bus of Data and Ontologies of Smart Cities Processes....Pages 59-75
Ontology of the Design Pattern Language for Smart Cities Systems....Pages 76-100
Text Classification Using βAntiβ-Bayesian Quantile Statistics-Based Classifiers....Pages 101-126
Two Novel Techniques to Improve MDL-Based Semi-Supervised Classification of Time Series....Pages 127-147
Back Matter....Pages 149-149
β¦ Subjects
Artificial Intelligence (incl. Robotics);Computational Intelligence;Software Engineering;Information Systems and Communication Service;Management of Computing and Information Systems
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