Toward quality assessment of Boolean matrix factorizations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73588407" target="_blank" >RIV/61989592:15310/18:73588407 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0020025518303694" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025518303694</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ins.2018.05.016" target="_blank" >10.1016/j.ins.2018.05.016</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Toward quality assessment of Boolean matrix factorizations

Popis výsledku v původním jazyce

Boolean matrix factorization has become an important direction in data analysis. In this paper, we examine the question of how to assess the quality of Boolean matrix factorization algorithms. We critically examine the current approaches, and argue that little attention has been paid to this problem so far and that a systematic approach to it is missing. We regard quality assessment of factorization algorithms as a multifaceted problem, identify major views with respect to which quality needs to be assessed, and present various observations on the available algorithms in this regard. Due to its primary importance, we concentrate on the quality of collections of factors computed from data, present a method to assess this quality, and evaluate this method by experiments.

Název v anglickém jazyce

Toward quality assessment of Boolean matrix factorizations

Popis výsledku anglicky

Boolean matrix factorization has become an important direction in data analysis. In this paper, we examine the question of how to assess the quality of Boolean matrix factorization algorithms. We critically examine the current approaches, and argue that little attention has been paid to this problem so far and that a systematic approach to it is missing. We regard quality assessment of factorization algorithms as a multifaceted problem, identify major views with respect to which quality needs to be assessed, and present various observations on the available algorithms in this regard. Due to its primary importance, we concentrate on the quality of collections of factors computed from data, present a method to assess this quality, and evaluate this method by experiments.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA15-17899S" target="_blank" >GA15-17899S: Rozklady matic s booleovskými a ordinálními daty: teorie a algoritmy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

INFORMATION SCIENCES

ISSN

0020-0255

e-ISSN

—

Svazek periodika

459

Číslo periodika v rámci svazku

AUG

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

71-85

Kód UT WoS článku

000441118300005

EID výsledku v databázi Scopus

2-s2.0-85047321234