
Artificial Intelligence in Theory and Practice IV
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- Organization
- Contents
- Artificial Intelligence Techniques in Bio Medicine
- Efficacy of the Fuzzy Polynucleotide Space in Phylogenetic Tree Construction
- Introduction
- 2 Methods
- 3 Results
- 4 Discussion
- 5 Concluding Remarks
- References
- An Overview of Semantically-Based TCM Telemedicine Systems
- 1 Introduction
- 2 TCM and Telemedicine
- 3 Explicit and Implicit Semantics
- 4 Ontology-Based TCM Telemedicine System - Major Aspects
- 5 Conclusion
- References
- Teenagers' Stress Detection Based on Time-Sensitive Micro-blog Comment/Response Actions
- 1 Introduction
- 2 Related Work
- 3 Stress Detection with Time-Sensitive Comment/Response Acts
- 3.1 Modified Content Features
- 3.2 Time-Sensitive Comment/Response Features
- 4 Experimental Study
- 4.1 Setup
- 4.2 General Performance of Comment/Response Acts
- 4.3 Investigation of Time Sensitivity
- 4.4 Impact of Comment/Response Acts
- 5 Conclusion
- References
- Artificial Intelligence for Knowledge Management
- A Novel Approach for Resolving Knowledge Inconsistency on Ontology Syntactic Level
- 1 Introduction
- 2 Problems of Determining Consensus for a Conflict Profile of Conjunctions
- 3 Consensus Functions and Postulates for Consensus
- 4 Proposed Algorithm for Determining Consensus
- 4.1 Algorithm
- 4.2 Example
- 5 Conclusion
- References
- Dynamic Data Mart for Business Intelligence
- 1 Introduction
- 2 Key Issues
- 3 Existing Corporate Data Warehouse Implementation Architectures
- 4 Existing Data Warehouse Development Approaches
- 5 New Dynamic Data Mart Implementation Framework
- 5.1 The Dynamic Data Mart Implementation Architecture
- 5.2 The Underlining Principles of the Dynamism
- 5.3 User Behaviour Mining, Log Mining and Usage Mining
- 6 Dynamic Data Mart Implementation
- 6.1 Staging
- 6.2 ELT: Extract, Load, and Transform for Dynamic DM
- 6.3 The Dimension Tables and Fact Tables
- 6.4 The Data Model to Represent Fact and Dimension
- 6.5 Dynamic Create and Drop Views and Data
- 7 Application of Dynamic Data Mart
- 7.1 View Design and User Operation
- 8 Conclusion
- References
- ANOVA Based Approch for Efficient Customer Recognition: Dealing with Common Names
- 1 Introduction
- 2 Common Names
- 3 ANOVA Based Approch for Efficient Customer Recognition
- 4 Conclusion
- References
- Wholesale Power to Hydrogen: Adaptive Trading Approaches in a Smart Grid Ecosystem
- 1 Introduction
- 2 State of the Art
- 3 Methodology
- 3.1 Trading Model
- 4 Future Work
- 5 Conclusion
- References
- Computational Intelligence and Algorithms
- Computational Intelligence Approach to Capturing the Implied Volatility
- 1 Introduction
- 2 Option Pricing Models
- 2.1 GARCH Option Pricing Model (GOPM)
- 2.2 The Black-Scholes Option Pricing Model (BSOPM)
- 2.3 Artificial Neural Network (ANN)
- 3 Data
- 4 Performance Measure
- 5 Results
- 6 The Empirical Dynamics of the Volatility Smile
- 7 Conclusion
- References
- CCF-Based Awareness in Agent Model ABGP
- 1 Introduction
- 2 Agent Model ABGP
- 3 Coding and Combining Features Framework
- 3.1 Introduction of the Framework
- 3.2 Compact Coding
- 3.3 Learning Combined-Feature
- 4 Experimental Results
- 4.1 Compact Coding Evaluation
- 4.2 Feature Combining Evaluation
- 5 Conclusions
- References
- Evaluation of Recent Computational Approaches in Short-Term Traffic Forecasting
- 1 Introduction
- 2 Description of Used Computational Modeling Approaches
- 2.1 Neural Network
- 2.2 Generalized Additive Model (GAM)
- 2.3 Auto-Regressive Integrated Moving Average (ARIMA)
- 3 Experimental Design
- 4 Experiment Results and Discussion
- 5 Conclusion
- References
- Intelligent Decision Support Systems
- A Framework for Interestingness Measures for Association Rules with Discrete and Continuous Attributes Based on Statistical Validity
- 1 Introduction
- 2 Related Works
- 3 Proposed Method
- 3.1 Conceptual Framework
- 4 Experimental Results
- 4.1 Discrete and Continuous Attributes
- 4.2 Comparing Symmetrical Tau (ST) with Mutual Information (MI)
- 4.3 Unified Target Data and Rare Target Data Problems
- 4.4 Overall Framework Performance
- 5 Conclusions and Future Works
- References
- Rule-Based Multi-criteria Framework for SaaS Application Architecture Selection
- 1 Introduction
- 2 REST vs. SOAP
- 3 Motivation
- 4 Multi-criteria Decision Maker for Architecture Selection
- 4.1 Domain Requirements (DRs)
- 4.2 Architectural Characteristics (ACs)
- 4.3 Non-Functional Requirements (NFRs)
- 5 Working of Proposed Rule-Based DSS
- 5.1 Repository
- 5.2 Tools
- 5.3 Rule Base
- 5.4 Decision Maker
- 5.5 User Interface
- 6 Conclusion
- References
- Interleaving Collaborative Planning and Execution Along with Deliberation in Logistics and Supply Chain
- 1 Introduction
- 2 Related Work
- 3 Basic Action Theory
- 4 Conceptual Framework
- 5 Conclusion
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.