International Journal of Data Mining, Modelling and Management
2008 - 2025
From Inderscience Enterprises Ltd Bibliographic data for series maintained by Sarah Parker (). Access Statistics for this journal.
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Volume 17, issue 2, 2025
- An approach to improve the healthcare purchase decision: an application in a healthcare centre in Türkiye pp. 127-141

- Sena Kumcu and Bahar Özyörük
- A review on breast cancer detection using machine learning techniques pp. 142-164

- Sowjanya Yerramaneni and Sudheer K. Reddy
- Analysis and evaluation of business process management tools and techniques in the Industry 4.0 pp. 165-199

- Hari Lal Bhaskar
- Training an artificial neural network for an effective PCB defect detection pp. 200-216

- Blanka Bártová and Vladislav Bína
- Ensemble of large self-supervised transformers for improving speech emotion recognition pp. 217-244

- Mrunal Prakash Gavali and Abhishek Verma
Volume 17, issue 1, 2025
- Sorting paired points: a dissimilarity measure based on sorting of series pp. 1-25

- Wallace Anacleto Pinheiro, Ricardo Q.A. Fernandes and Ana Bárbara Sapienza Pinheiro
- Enhancing link prediction in dynamic social networks: a novel algorithm integrating global and local topological structures pp. 26-53

- Shambhu Kumar, Arti Jain and Dinesh C.S. Bisht
- A frequent itemset generation approach in data mining using transaction-labelling dynamic itemset counting method pp. 54-74

- Ambily Balaram and Nedunchezhian Raju
- Comparative analysis of distance measures in stock network construction and cluster analysis pp. 75-102

- Serkan Alkan
- Ensemble learning models for predicting the gaming addiction behaviours of adolescents pp. 103-125

- Nongyao Nai-arun and Warachanan Choothong
Volume 16, issue 4, 2024
- A novel LWT-based robust watermark strategy for colour images pp. 359-373

- Prachee Dewangan, Debabala Swain and Monalisa Swain
- Discrete cuckoo search for 0-1 knapsack problem pp. 374-396

- Aziz Ouaarab
- Mapping the trajectory of sustainable finance research: an analysis using bibliometric approach pp. 397-419

- Puja Kaura and Ajay Kumar
- Detecting driver mutations in colorectal cancer through big data analysis pp. 420-442

- Amna Amin Sethi, Saad Khan, Fatima Hashmi and Saim Ali Akber
- Early stage analysis of breast cancer using intelligent system pp. 443-454

- Arpita Nath Boruah and Mrinal Goswami
Volume 16, issue 3, 2024
- A comparative analysis of user attitudes towards ICO and IEO in blockchain projects: insights from social media big data pp. 245-267

- Shengjuan Zhao and Gyoogun Lim
- An irregular CLA-based novel frequent pattern mining approach pp. 268-292

- Moumita Ghosh, Sourav Mondal, Harshita Moondra, Dina Tri Utari, Anirban Roy and Kartick Chandra Mondal
- Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection pp. 293-325

- Mohammed Alweshah, Ghadeer Ahmad Alhebaishan, Sofian Kassaymeh, Saleh Alkhalaileh and Mohammed Ababneh
- A node sets based fast and scalable frequent itemset algorithm for mining big data using map reduce paradigm pp. 326-343

- B. Sivaiah and R. Rajeswara Rao
- Data mining techniques along with fuzzy logic control to find solutions to road traffic accidents: case study in Morocco pp. 344-357

- Halima Drissi Touzani, Sanaa Faquir and Ali Yahyaouy
Volume 16, issue 2, 2024
- Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases pp. 113-147

- Hamed Khosravi, Mohammad Reza Shafie, Morteza Hajiabadi, Ahmed Shoyeb Raihan and Imtiaz Ahmed
- Clustering-based multidimensional sequential pattern mining of semantic trajectories pp. 148-175

- Thouraya Sakouhi and Jalel Akaichi
- Intrusion detection system using statistical query tree with hierarchical clustering approach pp. 176-195

- P.V.N. Rajeswari and M. Shashi
- Effect of various factors on classification performance of ordinal logistic regression pp. 196-208

- Ali Vasfi Ağlarcı and Cengiz Bal
- Data-driven journey: a data management paradigm-centric review and data mesh capabilities pp. 209-243

- Kamel Abdellaoui, Mohamed Ali Hadj Taieb, Rafik Mahjoubi and Mohamed Ben Aouicha
Volume 16, issue 1, 2024
- Developing a data pipeline solution for big data processing pp. 1-22

- Ivona Lipovac and Marina Bagić Babac
- Hybrid classifier model for big data by leveraging map reduce framework pp. 23-48

- V. Sitharamulu, K. Rajendra Prasad, K. Sudheer Reddy, A.V. Krishna Prasad and M. Venkat Dass
- K-means and DBSCAN for look-alike sound-alike medicines issue pp. 49-65

- Souad Moufok, Anas Mouattah and Khalid Hachemi
- HARUIM: high average recent utility itemset mining pp. 66-100

- Mathe John Kenny Kumar and Dipti Rana
- An empirical approach towards detection of tuberculosis using deep convolutional neural network pp. 101-112

- Syed Azeem Inam, Daniyal Iqbal, Hassan Hashim and Mansoor Ahmed Khuhro
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
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