International Journal of Data Mining, Modelling and Management
2008 - 2026
From Inderscience Enterprises Ltd Bibliographic data for series maintained by Sarah Parker (). Access Statistics for this journal.
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Volume 15, issue 4, 2023
- A novel taxonomy of natural disasters based on casualty and consequence using hierarchical clustering pp. 313-330

- Donald Douglas Atsa'am, Frank Adusei-Mensah, Oluwafemi Samson Balogun, Temidayo Oluwatosin Omotehinwa, Oluwaseun Alexander Dada, Richard Osei Agjei and Samuel Nii Odoi Devine
- Detection of terrorism's apologies on Twitter using a new bi-lingual dataset pp. 331-354

- Khaled Bedjou and Faical Azouaou
- Weighted edge sampling for static graphs pp. 355-368

- Muhammad Irfan Yousuf and Raheel Anwar
- Using data mining to integrate recency-frequency-monetary value analysis and credit scoring methods for bank customer behaviour analysis pp. 369-392

- Mohammad Khanbabaei, Pantea Parsi and Najmeh Farhadi
- A comparative study of supervised/unsupervised machine learning algorithms with feature selection approaches to predict student performance pp. 393-409

- Alaa Khalaf Hamoud, Ali Salah Alasady, Wid Akeel Awadh, Jasim Mohammed Dahr, Mohammed B.M. Kamel, Aqeel Majeed Humadi and Ihab Ahmed Najm
Volume 15, issue 3, 2023
- Hierarchical++: improving the hierarchical clustering algorithm pp. 223-239

- Wallace Anacleto Pinheiro and Ana Bárbara Sapienza Pinheiro
- A new process for healthcare big data warehouse integration pp. 240-254

- Nouha Arfaoui
- Designing a model for selecting, ranking and optimising service quality indicators using meta-heuristic algorithms pp. 255-274

- Behnam Khamoushpour, Abbas Sheikh Aboumasoudi, Arash Shahin and Shakiba Khademolqorani
- An ABC approach for depression signs on social networks posts pp. 275-296

- Amina Madani, Fatima Boumahdi, Anfel Boukenaoui, Mohamed Chaouki Kritli, Asma Ghribi, Fatma Limani and Hamza Hentabli
- A constraint programming approach for quantitative frequent pattern mining pp. 297-311

- Mohammed El Amine Laghzaoui and Yahia Lebbah
Volume 15, issue 2, 2023
- Big data visual exploration as a recommendation problem pp. 133-153

- Moustafa Sadek Kahil, Abdelkrim Bouramoul and Makhlouf Derdour
- An optimisation approach for determining the efficiency of vital medical devices in intensive care units with COVID-19 patients using Apriori algorithm pp. 154-168

- Abasat Mirzaei, Fatemeh Hoseini and Mehrshad Lalinia
- Identification of relevant features influencing movie reviews using sentiment analysis pp. 169-183

- Isha Gupta, Indranath Chatterjee and Neha Gupta
- Churn prediction in telecommunication sector with machine learning methods pp. 184-202

- Ayşe Şenyürek and Selçuk Alp
- Mining association rules for classification using frequent generator itemsets in arules package pp. 203-221

- Makhlouf Ledmi, Mohammed El Habib Souidi, Michael Hahsler, Abdeldjalil Ledmi and Chafia Kara-Mohamed
Volume 15, issue 1, 2023
- A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments pp. 1-29

- Alfredo Cuzzocrea, Fabio Martinelli and Francesco Mercaldo
- Application of rule-based data mining in extracting the rules from the number of patients and climatic factors in instantaneous to long-term spectrum pp. 30-52

- Sima Hadadian, Zahra Naji-Azimi, Nasser Motahari Farimani and Behrouz Minaei-Bidgoli
- Capturing uncertainties through log analysis using DevOps pp. 53-78

- Rajeev Kumar Gupta, Arti Jain, Ruchika Kumar and R.K. Pateriya
- Adaptable address parser with active learning pp. 79-101

- You-Xuan Lin
- Optimising data quality of a data warehouse using data purgation process pp. 102-131

- Neha Gupta
Volume 14, issue 4, 2022
- Recommendation system for improving churn rate based on action rules and sentiment mining pp. 287-308

- Yuehua Duan and Zbigniew W. Ras
- Detecting and exploiting symmetries in sequential pattern mining pp. 309-334

- Ikram Nekkache, Said Jabbour, Nadjet Kamel and Lakhdar Sais
- Comparison of harmony search derivatives for artificial neural network parameter optimisation: stock price forecasting pp. 335-357

- Mehmet Özçalıcı, Ayşe Tuğba Dosdoğru, Aslı Boru İpek and Mustafa Göçken
- Prediction of air pollution and analysis of its effects on the pollution dispersion of PM 10 in Egypt using machine learning algorithms pp. 358-371

- Wael K. Hanna, Rasha Elstohy and Nouran M. Radwan
- Ontology and web usage mining for website maintenance pp. 372-400

- Khaled Benali
Volume 14, issue 3, 2022
- Comparing text corpora via topic modelling pp. 203-216

- Fedor Krasnov, Mikhail Shvartsman and Alexander Dimentov
- Synergistic effects between data corpora properties and machine learning performance in data pipelines pp. 217-233

- Roberto Bertolini and Stephen J. Finch
- Detecting cyberbullying in Spanish texts through deep learning techniques pp. 234-247

- Paúl Cumba-Armijos, Diego Riofrío-Luzcando, Verónica Rodríguez-Arboleda and Joe Carrión-Jumbo
- Nonlinear gradient-based feature selection for precise prediction of diseases pp. 248-268

- Sadaf Kabir and Leily Farrokhvar
- Data analytics for gross domestic product using random forest and extreme gradient boosting approaches: an empirical study pp. 269-286

- Elsayed A.H. Elamir
Volume 14, issue 2, 2022
- Developing a machine learning framework to determine the spread of COVID-19 in the USA using meteorological, social, and demographic factors pp. 89-109

- Akash Gupta and Amir Gharehgozli
- Time-series gradient boosting tree for stock price prediction pp. 110-125

- Kei Nakagawa and Kenichi Yoshida
- Suggestion and solution of a mathematical model for determining effective routes in football pp. 126-148

- Kenan Mengüç and Tarık Küçükdeniz
- A comprehensive review of deep learning for natural language processing pp. 149-182

- Amal Bouraoui, Salma Jamoussi and Abdelmajid Ben Hamadou
- Emotions recognition in synchronic textual CSCL situations pp. 183-202

- Germán Lescano, Rosanna Costaguta and Analía Amandi
Volume 14, issue 1, 2022
- Investigation of contraction process issue in fuzzy min-max models pp. 1-14

- Essam Alhroob, Mohammed Falah Mohammed, Fadhl Hujainah, Osama Nayel Al Sayaydeh and Ngahzaifa Ab Ghani
- Plagiarism detection of figure images in scientific publications pp. 15-29

- Taiseer Abdalla Elfadil Eisa
- Arabic text semantic-based query expansion pp. 30-40

- Nuhu Yusuf, Mohd Amin Mohd Yunus, Norfaradilla Wahid, Aida Mustapha, Nazri Mohd Nawi and Noor Azah Samsudin
- A hybrid feature selection method combining Gini index and support vector machine with recursive feature elimination for gene expression classification pp. 41-62

- Talal Almutiri and Faisal Saeed
- Fast parallel computation of PageRank scores with improved convergence time pp. 63-88

- Hema Dubey and Nilay Khare
Volume 13, issue 4, 2021
- New perspectives on deep neural networks in decision support in surgery pp. 317-336

- Konstantin Savenkov, Vladimir Gorbachenko and Anatoly Solomakha
- Modelling and visualising emotions in Twitter feeds pp. 337-350

- Satish M. Srinivasan, Ruchika Chari and Abhishek Tripathi
- Investigating the impact of preprocessing on document embedding: an empirical comparison pp. 351-363

- Nourelhouda Yahi, Hacene Belhadef and Mathieu Roche
- Application of structural equation modelling in Iranian tourism researches: challenges and guidelines pp. 364-387

- Seyyed Mohammad Mirtaghian Rudsari and Naji Gharibi
- Pursuing efficient data stream mining by removing long patterns from summaries pp. 388-409

- Po-Jen Chuang and Yun-Sheng Tu
Volume 13, issue 3, 2021
- Long text to image converter for financial reports pp. 211-230

- Chia-Hao Chiu, Yun-Cheng Tsai and Ho-Lin Chen
- Modelling attrition to know why your employees leave or stay pp. 231-253

- Sachin Deshmukh, Seema Sant and Neerja Kashive
- Association rules in mobile game operation pp. 254-267

- Muning Chang
- A multivariate copula-based SUR probit model: application to insolvency probability of enterprises pp. 268-282

- Paravee Maneejuk, Chalerm Jaitang and Woraphon Yamaka
- E-learning process through text mining for academic literacy pp. 283-298

- Maira Alejandra Pulgarín Rodríguez, Bárbara Maricely Fierro Chong and Erica María Ossa Taborda
- Hedging agriculture commodities futures with histogram data: a Markov switching volatility and correlation model pp. 299-315

- Woraphon Yamaka, Pichayakone Rakpho and Paravee Maneejuk
Volume 13, issue 1/2, 2021
- An enhanced cooperative method to solve multiple-sequence alignment problem pp. 1-16

- Lamiche Chaabane
- A formal theoretical framework for a flexible classification process pp. 17-36

- Ismaïl Biskri and Mohamed Hassani
- Graph-based cumulative score using statistical features for multilingual automatic text summarisation pp. 37-64

- Abdelkrime Aries, Djamel Eddine Zegour and Walid Khaled Hidouci
- An ontology-based modelling and reasoning for alerts correlation pp. 65-80

- Tayeb Kenaza
- Convolutional neural network with stacked autoencoders for predicting drug-target interaction and binding affinity pp. 81-113

- Meriem Bahi and Mohamed Batouche
- Efficient deployment approach of wireless sensor networks on 3D terrains pp. 114-136

- Mostefa Zafer, Mustapha Reda Senouci and Mohamed Aissani
- Recommendation of items using a social-based collaborative filtering approach and classification techniques pp. 137-159

- Lamia Berkani
- Distributed heterogeneous ensemble learning on Apache Spark for ligand-based virtual screening pp. 160-191

- Karima Sid and Mohamed Batouche
- Hash-processing of universal quantification-like queries dealing with requirements and prohibitions pp. 192-210

- Noussaiba Benadjimi and Khaled-Walid Hidouci
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