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ORCIDInternational Journal of Data Mining, Modelling and Management, Volume 14
Volume 14, Number 1, 2022
- Essam Alhroob, Mohammed Falah Mohammed
, Fadhl Hujainah, Osama Nayel Al Sayaydeh, Ngahzaifa Ab Ghani:
Investigation of contraction process issue in fuzzy min-max models. 1-14 - Taiseer Abdalla Elfadil Eisa:
Plagiarism detection of figure images in scientific publications. 15-29 - Nuhu Yusuf, Mohd Amin Mohd Yunus, Norfaradilla Wahid, Aida Mustapha, Nazri Mohd Nawi, Noor Azah Samsudin:
Arabic text semantic-based query expansion. 30-40 - Talal Almutiri, Faisal Saeed:
A hybrid feature selection method combining Gini index and support vector machine with recursive feature elimination for gene expression classification. 41-62 - Hema Dubey, Nilay Khare:
Fast parallel computation of PageRank scores with improved convergence time. 63-88
Volume 14, Number 2, 2022
- Akash Gupta, Amir Gharehgozli:
Developing a machine learning framework to determine the spread of COVID-19 in the USA using meteorological, social, and demographic factors. 89-109 - Kei Nakagawa, Kenichi Yoshida:
Time-series gradient boosting tree for stock price prediction. 110-125 - Kenan Mengüç, Tarik Küçükdeniz:
Suggestion and solution of a mathematical model for determining effective routes in football. 126-148 - Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou:
A comprehensive review of deep learning for natural language processing. 149-182 - Germán Lescano, Rosanna Costaguta, Analía Amandi:
Emotions recognition in synchronic textual CSCL situations. 183-202
Volume 14, Number 3, 2022
- Fedor Krasnov, Mikhail Shvartsman, Alexander Dimentov:
Comparing text corpora via topic modelling. 203-216 - Roberto Bertolini, Stephen J. Finch:
Synergistic effects between data corpora properties and machine learning performance in data pipelines. 217-233 - Paúl Cumba-Armijos, Diego Riofrío-Luzcando, Verónica Rodríguez-Arboleda, Joe Carrión-Jumbo:
Detecting cyberbullying in Spanish texts through deep learning techniques. 234-247 - Sadaf Kabir, Leily Farrokhvar:
Nonlinear gradient-based feature selection for precise prediction of diseases. 248-268 - Elsayed A. H. Elamir:
Data analytics for gross domestic product using random forest and extreme gradient boosting approaches: an empirical study. 269-286
Volume 14, Number 4, 2022
- Yuehua Duan, Zbigniew W. Ras:
Recommendation system for improving churn rate based on action rules and sentiment mining. 287-308 - Ikram Nekkache, Saïd Jabbour, Nadjet Kamel, Lakhdar Sais:
Detecting and exploiting symmetries in sequential pattern mining. 309-334 - Mehmet Özçalici, Ayse Tugba Dosdogru, Asli Boru Ipek, Mustafa Göçken:
Comparison of harmony search derivatives for artificial neural network parameter optimisation: stock price forecasting. 335-357 - Wael K. Hanna, Rasha Abdel sattar El Stohy, Nouran M. Radwan:
Prediction of air pollution and analysis of its effects on the pollution dispersion of PM10 in Egypt using machine learning algorithms. 358-371 - Khaled Benali:
Ontology and web usage mining for website maintenance. 372-400
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