Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shaghayegh Abolmakarem"'
Publikováno v:
Intelligent Systems with Applications, Vol 24, Iss , Pp 200449- (2024)
In this paper, a machine learning approach is proposed to predict the next day's stock prices. The methodology involves comprehensive data collection and feature generation, followed by predictions utilizing Multi-Layer Perceptron (MLP) networks. We
Externí odkaz:
https://doaj.org/article/5f1b68e3091e49878584771e375dca10
Autor:
Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Yong Tan, Italo Andres Marchioni Choque
Publikováno v:
IEEE Access, Vol 12, Pp 144280-144294 (2024)
This research presents a novel portfolio optimization model that incorporates asset preselection. This model aims to demonstrate how using Long and Short-Term Memory and Sharpe Ratio Maximization can enhance the efficiency of portfolios.The suggested
Externí odkaz:
https://doaj.org/article/57dbd815eb4a43319da3f95d457063be
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f35289d95618e1919fa3705ba56c3f
https://doi.org/10.2139/ssrn.4074883
https://doi.org/10.2139/ssrn.4074883
Publikováno v:
Applied Soft Computing. 73:816-828
This paper proposes a hybrid soft computing approach on the basis of clustering, rule extraction, and decision tree methodology to predict the segment of the new customers in customer-centric companies. In the first module, K-means algorithm is appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25abaab7bfb71c316959b86c10b5f717
https://doi.org/10.1016/j.asoc.2018.09.001
https://doi.org/10.1016/j.asoc.2018.09.001
Publikováno v:
International Journal of Management Science and Engineering Management. 14:9-19
Insurance coverage recommendation problem (ICRP) in which the most suitable coverage for customers is suggested is an essential issue for an insurance company. ICRP helps insurance companie...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2edef95e728171a471ea2d3827ddb459
https://doi.org/10.1080/17509653.2018.1467801
https://doi.org/10.1080/17509653.2018.1467801
Publikováno v:
Kybernetes. 47:2-19
Purpose Customer insurance coverage sales plan problem, in which the loyal customers are recognized and offered some special plans, is an essential problem facing insurance companies. On the other hand, the loyal customers who have enough potential t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cacef413b81dab46ff92d6e059f8142
https://doi.org/10.1108/k-07-2017-0244
https://doi.org/10.1108/k-07-2017-0244
Autor:
Shaghayegh Abolmakarem, Farshid Abdi
The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company. This framework takes into account the customers’ behavior patterns and predicts the way they may act in the future. Firstly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7409e154947781cb2af86471c67b7ccd
https://hdl.handle.net/10419/267618
https://hdl.handle.net/10419/267618
Publikováno v:
International Journal of Knowledge Engineering and Data Mining. 4:18
Customers segmentation enables companies to identify the high-profit customers. Clustering algorithms are commonly used for customer segmentation. In this study, K-means clustering algorithms are employed to identify profitable customers in an insura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8111588ad45d91faa39bc14e79f4b6
https://doi.org/10.1504/ijkedm.2016.082072
https://doi.org/10.1504/ijkedm.2016.082072