Research output per year
Research output per year
Personal profile
Biography
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.
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Dive into the research topics where Fahed Yoseph is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Publications
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A new approach for association rules mining using computational and artificial intelligence
Yoseph, F. & Heikkilä, M., 2020, In: Journal of Intelligent and Fuzzy Systems. 39, 5, p. 7233-7246Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
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, In: Journal of Intelligent and Fuzzy Systems. 38, 5, p. 6159–6173 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
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. (eds.). IEEE, p. 65–71Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › 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. (eds.). IEEE, p. 72–78Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › 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, p. 109–116Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile