[PDF] Top 20 1. Optimal feature selection algorithm for high dimensional data sets using particle swarm optimization
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1. Optimal feature selection algorithm for high dimensional data sets using particle swarm optimization
... global optimization algorithms, computational intelligence and soft computing, meta heuristic algorithms play a vital ...the data set [1] ...to feature selection such as greedy based ... See full document
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PERFORMANCE ANALYSIS OF WLAN UNDER VARIABLE NUMBER OF NODES USING THE ADJUSTABLE PARAMETERS IN EDCA
... generating high dimensional data sets by capturing millions of facts in various fields, time phases, localities and ...Microarray data contains gene expression from thousands of genes ... See full document
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MFS PSO: A Modified PSO Method for Optimizing Gene Selection
... Particle Swarm Optimization (PSO) is an evolutionary method which simulates the social behavior of living organisms like: bird flocking and fish ...Each particle uses its individual memory and ... See full document
5
Particle Swarm Optimization Feature Selection for Data Stream Mining
... Big data concept is used in every industry or any business. Big data can be characterized by 3Vs: the extreme volume of data, the wide variety of types of data and the velocity at which the ... See full document
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Improving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA
... the high dimensional feature ...many feature selection ...on Particle Swarm Optimization (PSO) algorithm and Support Vector Machine ...Genetic ... See full document
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Optimal Feature Selection of Speech using Particle Swarm Optimization Integrated with mRMR for Determining Human Emotion State
... Principle Component Analysis (Karl Pearson, 1901) is a mathematical method that uses transformations to identify patterns in data. The components are arranged in a particular pattern with the component having ... See full document
5
Swarm Search Using Wordnet and Hadoop
... from high dimensional and text ...to data mining but now a days PSO algorithms are having greater performance ...is Particle Swarm search ,feature selection and the apache ... See full document
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Improving gender classification with feature selection in forensic anthropology
... Particle Swarm Optimization (PSO) is one of the optimization techniques and kind of evolutionary computation ...on swarm such as bird flocking and fish schooling [19]. In the PSO ... See full document
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Feature Selection for Small Sample Sets with High Dimensional Data Using Heuristic Hybrid Approach
... Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of ...samples. Feature extraction methods do not have decent ... See full document
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FACTORS AFFECTING IS SUCCESS AND TECHNOLOGY ACCEPTANCE: A CASE STUDY
... [12]. Particle swarm optimization (PSO) is an evolutionary computation technique ...a swarm of particles [18]. Each particle represents a candidate solution to the problem and it has ... See full document
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Multilabelled Optimal Feature Classification Procedure for High Dimensional Bio Medical Data
... logical data spared in ...of data source is an exhausting ...medicinal data and for the most part immaterial segments, for example, route decisions, types, client input, advertising, criticism and so ... See full document
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Brain response pattern identification of fMRI data using a particle swarm optimization-based approach
... jective high-dimensional problem ...colony optimization (ACO), and particle swarm optimization (PSO), are at the forefront of this research ...Heuristic feature ... See full document
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A Data Mining Model to predict and analyze the events related to Coronary Heart Disease using Decision Trees with Particle Swarm Optimization for Feature Selection
... a data mining system for the assessment of heart related risk factors using Association analysis based on Apriori ...evaluated using 13 attributes and the results shown that smoking is one of the ... See full document
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A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION
... classification using a product review classifier Support Vector Machine (SVM), where the classification has a shortage of the appropriate parameter selection problem, due to the incompatibility of a ... See full document
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Automatic Detection of Atrial Fibrillation Using PSO
... ECG Data though it is a hype up- springing many technical challenges that confront both academic research communities and commercial medical deployment, the root sources of ECG Data are founded on ... See full document
6
A Survey on Application of Bio-Inspired Algorithms
... Swarm Intelligence is a branch of biologically inspired algorithms which is focused on the collective behaviour of swarms in order to develop some meta-heuristics which mimic the swarm's problem solution ... See full document
5
FEATURE SELECTION BOOSTER ALGORITHM FOR HIGH DIMENSIONAL DATA CLASSIFICATION
... four feature selection algorithms as minimum- redundancy- maximal- relevance (mRMR), Fast Correlation Based Filter (FCBF), Fast clustering bAsed feature Selection Algorithm (FAST) and ... See full document
11
Research on Parameter Identification Method of Lithium ion Battery Model Based on Particle Swarm Optimization Algorithm
... an optimization problem in parameter space. Then using the PSO algorithm for parallel search in the entire parameter space efficiently, in order to obtain optimal estimates of the system ... See full document
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SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... continuous optimization problems. The results obtained show that by using the MPSO may yield better solutions than those obtained by using PSO-TVIW, and demonstrate the effectiveness and robustness ... See full document
5
Binary Particle Swarm Optimization Structure Selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) Model of a Flexible Robot Arm
... structure selection and parameter estimation, which can be simultaneously performed using the established Orthogonal Least Squares (OLS) ...Binary Particle Swarm Optimization (BPSO) ... See full document
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