Napovedovanje značilnosti posameznikov z uporabo dinamike tipkanja : magistrsko delo; Predicting characteristics of individuals using keystroke dynamics : master thesis

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Napovedovanje značilnosti posameznikov z uporabo dinamike tipkanja : magistrsko delo = Predicting characteristics of individuals using keystroke dynamics : master thesis

Petek, David

Cilj raziskave je na podlagi dinamike tipkanja napovedati velikih pet osebnostnih lastnosti in nekatere druge osebne značilnosti. Dinamika tipkanja je proučevanje natančnih časovnih podatkov o ... pritiskih in izpustih tipk ob tipkanju na računalniški tipkovnici. V raziskavi je sodelovalo 60 udeležencev, ki so pretipkali vnaprej pripravljeno besedilo ter izpolnili samo poročani osebnostni vprašalnik. Podatki o tipkanju so bili združeni v spremenljivke, ki so bile uporabljene kot vhodni podatki za nadzorovano strojno učenje. Dinamika tipkanja je uporabljena za klasificiranje udeležencev v zgornjo ali spodnjo skupino glede na povprečje vzorca za posamezno merjeno lastnost. Z uporabo metode umetnih nevronskih mrež smo uspešno napovedali vestnost za 62 % (p = 0,046) in višino za 63 % (p = 0,026) udeležencev.

Type of material - master's thesis ; adult, serious

Publication and manufacture - Maribor : [D. Petek], 2017

Language - slovenian

COBISS.SI-ID - 23416328

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Digital Library of the University of Maribor – DLUM

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Author
Petek, David

Other authors
Musil, Bojan | Čuš Babič, Nenad

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Call number – location, accession no. ...	Copy status	Reservation
D MAG 159.9 PETEK D. Napovedovanje IN: 320170143	available - reading room

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Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system
Petek, David
Musil, Bojan	21809
Čuš Babič, Nenad	16431

Source: Personal bibliographies and: SICRIS

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