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Mining Technical Patterns in The U. S. Stock Market through Soft Computing
Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
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Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks
The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
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Measuring User Satisfaction in Web Searching
Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
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Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning
In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
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On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation
An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
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A Fuzzy Method for Learning Simple Boolean Formulas from Examples
We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
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Connectionist Fuzzy Relational Systems
There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
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Fuzzy Logic Control in Hybrid Power Systems
In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and...
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Data Mining and User Profiling for an E-Commerce System
Many companies are now develo** an online internet presence to sell or promote their products and services. The data generated by e-commerce sites...
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Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System
A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system,...
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D-GridMST: Clustering Large Distributed Spatial Databases
In this paper, we will propose a novel distributable clustering algorithm, called Distributed-GridMST (D–GridMST for short), which deals with large...
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A Probabilistic Approach to Mining Fuzzy Frequent Patterns
Deriving association rules is a typical task in data mining. The problem was originally defined for transactions of discrete items, but it was soon...
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Data Mining of Missing Persons Data
This paper presents the results of analysis to evaluate the effectiveness of data mining techniques to predict the outcome for missing persons cases....
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9. Switched Scalable Video Coding Systems
Scalable video coding means that a video sequence is only encoded once and the coded bitstream has the capability of sending any sub-bitstream...
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4. Stability of Nonlinear Switched and Impulsive Systems
In this chapter, we shall study the stability of nonlinear switched and impulsive systems of the form...
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Marginal Filter Stability
Two fundamental aspects in the use of the Kalman Filter for simultaneous localization and map** are the issues of observability and...
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C Sigma Points
A set of p + 1 sigma points $\mathcal{S} = \{\mathcal{X}^i, W^i\}$...
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Soft Computing Paradigms for Web Access Pattern Analysis
Web servers play a crucial role to convey knowledge and information to the end users. With the popularity of the WWW, discovering the hidden...
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A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grou** for Acute Healthcare in Australia
Estimating resource consumption of hospital patients is important for various tasks such as hospital funding, and management and allocation of...
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1. Examples and Modelling of Switched and Impulsive Systems
When you begin to read this book, you may ask: “what is a switched and impulsive system?” This is a question that may be best answered through...