Social Impact based Approach to Feature Subset Selection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03146412" target="_blank" >RIV/68407700:21230/08:03146412 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Social Impact based Approach to Feature Subset Selection

Original language description

The interactions taking place in the society could be a source of rich inspiration for the development of novel computational methods. This paper describes an application of two optimization methods based on the idea of social interactions. The first oneis the Social Impact Theory based Optimizer - a novel method directly inspired by and based on the Dynamic Theory of Social Impact known from social psychology. The second one is the binary Particle Swarm Optimization - well known optimization technique, which could be understood as to be inspired by decision making process in a group. The two binary optimization methods are applied in the area of automatic pattern classification to selection of an optimal subset of classifier's inputs. The testing isperformed using four datasets from UCI repository. The results show the ability of both methods to significantly reduce input dimensionality and simultaneously keep up the generalization ability.

Czech name

Selekce přízkové podmnožiny založená na sociálním dopadu

Czech description

Interakce odehrávající se uvnitř společnosti jedinců mohou být zdrojem inspirace při vývoji nových výpočetních metod. Tento článek popisuje aplikaci dvou optimalizačních metod založených na myšlence sociálních interakcí. První je Social Impact Theory based Optimiser a druhá metoda je binární Particle Swarm Optimiser. Metody jsou aplikovány na selekci optimální podmnožiny vstupů klasifikátoru, dále jsou pak porovnány.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

ISBN

978-3-540-78986-4

ISSN

1860-949X

e-ISSN

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Number of pages

10

Pages from-to

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Publisher name

Springer

Place of publication

Heidelberg

Event location

Acireale

Event date

Nov 8, 2007

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000262048100022