developing an algorithm for data mining using clustering genetic algorithm at c++

With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and impr ....etc

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http://seminarsprojects.net/Thread-attendance-management-system

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MATLAB code for school timetabling
MATLAB code for school timetabling
MATLAB code for school timetabling ....etc

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to get information about the topic adaptive bilateral filter for sharpness enhancem ent and noise removal matlab code related topic refer the page link bellow

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A Comparison of Genetic Algorithm & Neural Network (MLP) In Patient Specific Classification of Epilepsy Risk Levels from EEG
Signals IEE- MATLAB

Abstract This paper is aimed to compare the performance of a
Genetic Algorithm (GA) and Multi- Layer Perceptron (MLP)
Neural network in the classification of epilepsy risk level from
Electroencephalogram (EEG) signal parameters. The epilepsy risk
level is classified based on the extracted parameters like energy,
variance, peaks, sharp and spike waves, duration, events and covariance ....etc

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pls provide me the matlab coding for shadow detection and compensation in high resolution satellite images ....etc

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please send the code as soon as possible
i need it urgently.please send the source code ....etc

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we want this following topic, genetic algorithm based wireless sensor network localization ....etc

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Although image restoration methods based on spectral filtering techniques are very efficient, they can be applied only to problems with fairly simple spatially invariant blurring operators. Iterative methods, however, are much more flexible; they can be very efficient for spatially invariant as well as spatially variant blurs, they can incorporate a variety of regularization techniques and boundary conditions, and they can more easily incorporate additional constraints, such as nonnegativity. This chapter describes a variety of iterative method ....etc

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A wireless sensor network (WSN) typically operates in an unreliable wireless environment with power restrictions. Many researchers are primarily interested in the energy awareness and communication reliability of WSN to maximize the useful life of the network. However, addressing the conflicting issues of improving energy efficiency and fault tolerance simultaneously is a difficult task. Most of the previous studies have shown that both problems can be addressed through the use of data link or network layer protocols. In this article, we presen ....etc

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