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Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to...
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Memory Modules and the Innate Structure
As the philosopher Miguel de Umamuno (1864-1936) once said, “We live in memory and memory, and our spiritual life is at bottom simply the effort of...
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The Artificial Mind System (AMS), Modules, and Their Interactions
The previous two chapters have been devoted to establishing the novel artificial neural network concept, namely the kernel memory concept, for the...
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Genetic Linkage Learning Techniques
The importance of learning genetic linkage has been discussed in the previous chapter and recognized in the field of genetic and evolutionary...
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Web Mining – Concepts, Applications and Research Directions
From its very beginning, the potential of extracting valuable knowledge from the Web has been quite evident. Web mining, i.e. the application of data...
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Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets
We propose the use of maximal frequent itemsets (MFIs) to derive association rules from tabular datasets. We first present an efficient method to...
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SYNESTHETIC ANALYSIS OF AUDIO-VISUAL DATA
Interaction between two perceptual modalities, seeing and hearing, their interaction and mutual reinforcement in a complex relationship was a subject...
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CONCLUDING REMARKS
The choice of problems presented in this study is intended to emphasize that in some cases even the classical problems of acoustics can be addressed...
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A Comparative Investigation on Model Selection in Binary Factor Analysis
Binary factor analysis has been widely used in data analysis with various applications. Most studies assume a known hidden factors number k or...
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Extraction of Generalized Rules with Automated Attribute Abstraction
We propose a novel method for mining generalized rules with high support and confidence. Using our method, we can obtain generalized rules in which...
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A Careful Look at the Use of Statistical Methodology in Data Mining
Knowledge discovery in databases (KDD) is an inherently statistical activity, with a considerable literature drawing upon statistical science....
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Improved Knowledge Mining with the Multimethod Approach
Automatic induction from examples has a long tradition and represents an important technique used in data mining. Trough induction a method builds a...
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Genetic Algorithms Based Hybrid Intelligent Systems
The oldest branch of Evolutionary Computation, namely GA, is at the same time the used in real-world applications of HIS. Chapter 8 of the book tries...
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Introduction
This book is written in two major parts. The first part includes the introductory chapters consisting of Chaps. 1 through 8. In part two, Chaps....
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The Challenge of Hierarchical Difficulty
Thus far, we have examined the Bayesian optimization algorithm (BOA), empirical results of its application to several problems of bounded difficulty,...
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Machine Shop II
This chapter continues the machine shop model discussed in the previous chapter. Management is considering a radical change in the machine shop...
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Life Insurance: New Account Model
This problem was derived from an example in [1]. The system is shown in Fig. 15.1. This figure shows how this insurance company handles an...
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New Trends of Develo** Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization
As already mentioned in Chap.1, the use of biologically inspired CI techniques play a crucial role for the hybridisation at any level of HIS features...
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Inventory Control I
This single item multi-period inventory model is shown in Fig. 16.1. This problem will be expanded and also studied in the next chapter. These...
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Machine Servicing Problem
The machine servicing problem is shown in Fig. 14.1 and a basic description can be found in almost any operations research book ([1] p. 573(....