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ORCIDInternational Journal of Data Mining, Modelling and Management, Volume 15
Volume 15, Number 1, 2023
- Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments. 1-29 - Sima Hadadian, Zahra Naji-Azimi, Nasser Motahari Farimani, Behrouz Minaei-Bidgoli:
Application of rule-based data mining in extracting the rules from the number of patients and climatic factors in instantaneous to long-term spectrum. 30-52 - Rajeev Kumar Gupta, Arti Jain
, Ruchika Kumar, Rajesh Kumar Pateriya:
Capturing uncertainties through log analysis using DevOps. 53-78 - You-Xuan Lin:
Adaptable address parser with active learning. 79-101 - Neha Gupta:
Optimising data quality of a data warehouse using data purgation process. 102-131
Volume 15, Number 2, 2023
- Moustafa Sadek Kahil, Abdelkrim Bouramoul, Makhlouf Derdour:
Big data visual exploration as a recommendation problem. 133-153 - Abasat Mirzaei, Fatemeh Hoseini, Mehrshad Lalinia:
An optimisation approach for determining the efficiency of vital medical devices in intensive care units with COVID-19 patients using Apriori algorithm. 154-168 - Isha Gupta, Indranath Chatterjee, Neha Gupta:
Identification of relevant features influencing movie reviews using sentiment analysis. 169-183 - Ayse Senyürek, Selçuk Alp:
Churn prediction in telecommunication sector with machine learning methods. 184-202 - Makhlouf Ledmi, Mohammed El Habib Souidi, Michael Hahsler, Abdeldjalil Ledmi, Chafia Kara-Mohamed:
Mining association rules for classification using frequent generator itemsets in arules package. 203-221
Volume 15, Number 3, 2023
- Wallace Anacleto Pinheiro, Ana Bárbara Pinheiro:
Hierarchical++: improving the hierarchical clustering algorithm. 223-239 - Nouha Arfaoui:
A new process for healthcare big data warehouse integration. 240-254 - Behnam Khamoushpour, Abbas Sheikh Aboumasoudi, Arash Shahin, Shakiba Khademolqorani:
Designing a model for selecting, ranking and optimising service quality indicators using meta-heuristic algorithms. 255-274 - Amina Madani, Fatima Boumahdi, Anfel Boukenaoui, Mohamed Chaouki Kritli, Asma Ghribi, Fatma Limani, Hamza Hentabli:
An ABC approach for depression signs on social networks posts. 275-296 - Mohammed El Amine Laghzaoui, Yahia Lebbah:
A constraint programming approach for quantitative frequent pattern mining. 297-311
Volume 15, Number 4, 2023
- Donald Douglas Atsa'am, Frank Adusei-Mensah, Oluwafemi Samson Balogun, Temidayo Oluwatosin Omotehinwa, Oluwaseun Alexander Dada, Richard Osei Agjei, Samuel Nii Odoi Devine:
A novel taxonomy of natural disasters based on casualty and consequence using hierarchical clustering. 313-330 - Khaled Bedjou, Faiçal Azouaou:
Detection of terrorism's apologies on Twitter using a new bi-lingual dataset. 331-354 - Muhammad Irfan Yousuf, Raheel Anwar:
Weighted edge sampling for static graphs. 355-368 - Mohammad Khanbabaei, Pantea Parsi, Najmeh Farhadi:
Using data mining to integrate recency-frequency-monetary value analysis and credit scoring methods for bank customer behaviour analysis. 369-392 - Alaa Khalaf Hamoud, Ali Salah Alasady, Wid Akeel Awadh, Jasim Mohammed Dahr, Mohammed B. M. Kamel, Aqeel Majeed Humadi, Ihab Ahmed Najm:
A comparative study of supervised/unsupervised machine learning algorithms with feature selection approaches to predict student performance. 393-409
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