Publikationer per år
Publikationer per år
Personlig profil
Biografi
Business-minded professional with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods. Relied on as a key advisor in driving global growth, gains in consumer loyalty, and record-setting profit improvements.I have developed strategic advanced analytics models across different industries.
Fingeravtryck
Fördjupa i forskningsämnen där Fahed Yoseph är aktiv. Dessa ämnesetiketter kommer från personens arbeten. Tillsammans bildar de ett unikt fingeravtryck.
- 6 Liknande profiler
Publikationer
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A new approach for association rules mining using computational and artificial intelligence
Yoseph, F. & Heikkilä, M., 2020, I: Journal of Intelligent and Fuzzy Systems. 39, 5, s. 7233-7246Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
Öppen tillgångFil -
The impact of big data market segmentation using data mining and clustering techniques
Yoseph, F., Hassain Malim, A., Hashimah, N., Heikkilä, M., Adrian, B., Oana, G. & Rostam Nur Aqilah, P., 2020, I: Journal of Intelligent and Fuzzy Systems. 38, 5, s. 6159–6173 15 s.Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
Öppen tillgångFil -
A Clustering Approach for Outliers Detection in a Big Point-of-Sales Database
Yoseph, F. & Heikkilä, M., 2019, 2019 International Conference on Machine Learning and Data Engineering (iCMLDE). Kyu Rhee, P., Hwa, K-Y., Pai, T-W., Howard, D. & Rezaul Bashar, M. (red.). IEEE, s. 65–71Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
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Outliers Identification Model in Point-of-Sales Data Using Enhanced Normal Distribution Method
Yoseph, F., Heikkilä, M. & Howard, D., 2019, 2019 International Conference on Machine Learning and Data Engineering (iCMLDE). Kyu Rhee, P., Hwa, K-Y., Pai, T-W., Howard, D. & Rezaul Bashar, M. (red.). IEEE, s. 72–78Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
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Segmenting retail customers with an enhanced RFM and a hybrid regression/clustering method
Yoseph, F. & Heikkilä, M., 2018, 2018 International Conference on Machine Learning and Data Engineering (iCMLDE). IEEE, s. 109–116Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
Öppen tillgångFil