Zastosowanie modelu Cross Industry Standard Process for Data Mining (CRISP-DM) w badaniach postaw i opinii pracowników

• Autorzy: Kulikowski K.

Warianty tytułu

EN

Applying Cross Industry Standard Process for Data Mining (CRISP-DM) for employees attitudes and opinion research

• Języki publikacji: PL

Abstrakty

PL

Celem artykułu jest przedstawienie modelu Cross Industry Standard Process for Data Mining (CRISP-DM) jako kompleksowego modelu zbierania i analizy danych w badaniach postaw i opinii pracowników. Model CRISP-DM przez ustrukturyzowanie i porządkowanie procesu badania może usprawnić zarządzanie nim, a także umożliwić efektywniejsze odkrywanie wiedzy ze zgromadzonych danych.

EN

The aim of this study is to present a Cross Industry Standard Process for Data Mining (CRISP-DM), as a model of collecting and analyzing data from employees attitudes and opinions research. CRISP-DM model through structuring and organization of the research process can improve research management and enable more efficient knowledge discovery from collected data.

Słowa kluczowe

PL

postawa; opinia; CRISP-DM; badanie; pracownik; analiza danych

EN

attitude; opinion; CRISP-DM; employee; survey; data analysis

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2015
• Tom: z. 82
• Strony: 111--121
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Kulikowski K.

• Uniwersytet Jagielloński, Instytut Psychologii

Bibliografia

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