Understanding Cultural Values of Gen Z with Data Mining and Deep Learning
Keywords:
Veri MadenciliğiAbstract
Culture is one of the the founding blocks of a society and individual. It has influence in having different paradigms, preferences, behaviors, the way we perceive the world around us. In different parts of the society, geographies, countries, organizational settings we may encounter with different cultures, perceptual differences and preferences. Culture, norms also change during time from generations to generations both in business settings and social life. In this study some of the cultural values for gen z has been analyzed by using deep learning, machine learning and data mining techniqeus with the aim of providing exploratory understanding and confirmatory understanding in the topic of interest.
References
KOTLER, Philip (1991), Principles of Marketing, Englewood Cliffs - Prentice Hall, New Jersey (US).
KOTLER, Philip (2000), Marketing Management, Upper Saddle River - Prentice Hall, New Jersey (US).
MALHOTRA, Naresh K. (2007), Marketing Research: An Applied Orientation, Upper Saddle River - Pearson/Prentice Hall, New Jersey (US).
YAVUZ, Özerk (2009), “An Early Warning System Approach for the Identification of Currency Crises”, Master Thesis, Bahcesehir University Graduate School of Sciences, Istanbul.
YAVUZ, Özerk (2018), “Marketing Implications of Participative Behavior in Virtual Communities”, Doctoral Thesis, Bahcesehir University Graduate School of Social Sciences, Istanbul.
YAVUZ, Özerk (2021a), A Data Mining Analysis of Coronavirus Cases and Vaccinations in The City of London, Astana Publisher, Ankara.
YAVUZ, Özerk (2021b), “A Public Perceptions Analysis with Data Mining Algorithms”, 2. International “Başkent” Congress on Physical, Social and Health Sciences, 25-26 September – Ankara, pp.69-73.
YAVUZ, Özerk, KARAHOCA, Adem and KARAHOCA, Dilek (2019), “A Data Mining Approach for Desire and Intention to Participate in Virtual Communities”, International Journal of Electrical and Computer Engineering, S.9(5), pp.3714-3719.
YAVUZ, Özerk (2021), “A Leading Indicator Approach with Data Mining Techniques in Analysing Bitcoin Market Value.” European Journal of Science and Technology.
YAVUZ, Özerk (2022), “An Optimization Focused Machine Learning Approach in Analysing Arts Participative Behavior with Fine Arts Education Considerations.” International Scientific and Vocational Studies Journal.
YAVUZ, Özerk (2022). “A 21st Century Approach in Analysing Health Precautions in London with Machine Learning Driven Data Mining.” European Journal of Science and Technology.
YAVUZ, Özerk (2022). “Nitel ve Nicel Araştırma Tasarımı Uygulamasıyla Etanol Kullanımını ve Etkilerinin Anlaşılması.” European Journal of Science and Technology.
YAVUZ, Özerk (2022). “A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract.” International Scientific and Vocational Studies Journal.
YAVUZ, Özerk. (2022). Engıneerıng & archıtectural Scİence - 2 (A Multdıscipliner Approach).
KARAHOCA, Dilek, KARAHOCA, Adem and YAVUZ, Özerk (2013), “An Early Warning System Approach for the Identification of Currency Crises with Data Mining Techniques”, Neural Computing and Applications, S.23(7-8), pp.2471-2479.
Hofstede, G. (2011). Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture