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 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
Volume 12, issue 4, 2020
- Application of hyper-convergent platform for big data in exploring regional innovation systems pp. 365-385

- Alexey Finogeev, Leyla A. Gamidullaeva and Sergey M. Vasin
- Data modelling for large-scale social media analytics: design challenges and lessons learned pp. 386-414

- Ahmet Arif Aydin and Kenneth M. Anderson
- A new quantitative method for simplifying complex fuzzy cognitive maps pp. 415-427

- Mamoon Obiedat, Ali Al-yousef, Mustafa Banikhalaf and Khairallah Al Talafha
- The bootstrap procedure in classification problems pp. 428-446

- Borislava Petrova Vrigazova and Ivan Ganchev Ivanov
- A quest for better anomaly detectors pp. 447-458

- Mehdi Soleymani
Volume 12, issue 3, 2020
- Phish webpage classification using hybrid algorithm of machine learning and statistical induction ratios pp. 255-276

- Hiba Zuhair and Ali Selamat
- Proposal and study of statistical features for string similarity computation and classification pp. 277-307

- E.O. Rodrigues, D. Casanova, M. Teixeira, V. Pegorini, F. Favarim, E. Clua, A. Conci and Panos Liatsis
- Weighted LSTM for intrusion detection and data mining to prevent attacks pp. 308-329

- Meryem Amar and Bouabid El Ouahidi
- Extracting useful reply-posts for text forum threads summarisation using quality features and classification methods pp. 330-349

- Akram Osman and Naomie Salim
- Performance of authorship attribution classifiers with short texts: application of religious Arabic fatwas pp. 350-364

- Mohammed Al-Sarem, Abdel-Hamid Emara and Ahmed Abdel Wahab
Volume 12, issue 2, 2020
- Emotion mining from text for actionable recommendations detailed survey pp. 143-191

- Jaishree Ranganathan and Angelina A. Tzacheva
- Bees colonies for detecting communities evolution using data warehouse pp. 192-206

- Yasmine Chaabani and Jalel Akaichi
- A support architecture to MDA contribution for data mining pp. 207-236

- Fatima Meskine and Safia Nait-Bahloul
- A survey of term weighting schemes for text classification pp. 237-254

- Abdullah Alsaeedi
Volume 12, issue 1, 2020
- Proactive and reactive context reasoning architecture for smart web services pp. 1-27

- Nawel Sekkal, Sidi Mohamed Benslimane, Michael Mrissa, Cheol Young Park and Boudjemaa Boudaa
- Grey relational classification algorithm for software fault proneness with SOM clustering pp. 28-64

- Aarti, Geeta Sikka and Renu Dhir
- Intrusion detection using classification techniques: a comparative study pp. 65-86

- Imad Bouteraa, Makhlouf Derdour and Ahmed Ahmim
- An insight into application of big data analytics in healthcare pp. 87-117

- Sravani Nalluri and R. Sasikala
- Overlapping community detection with a novel hybrid metaheuristic optimisation algorithm pp. 118-139

- Imane Messaoudi and Nadjet Kamel
Volume 11, issue 4, 2019
- A new network-based approach to investigating neurological disorders pp. 315-349

- Francesco Cauteruccio, Paolo Lo Giudice, Giorgio Terracina, Domenico Ursino, Nadia Mammone and Francesco Carlo Morabito
- Fast parallel PageRank technique for detecting spam web pages pp. 350-365

- Nilay Khare and Hema Dubey
- Tuning parameters via a new rapid, accurate and parameter-less method using meta-learning pp. 366-390

- Alireza Hekmatinia, Ali Mohammadi Shanghooshabad, Mohammad Mahdi Motevali and Mehrdad Almasi
- Analysing sentiments based on multi feature combination with supervised learning pp. 391-416

- Monalisha Ghosh and Goutam Sanyal
Volume 11, issue 3, 2019
- Allegories for database modelling pp. 209-234

- Bartosz Zieliński, Paweł Maślanka and Ścibor Sobieski
- A grammar-based approach for XML schema extraction and heterogeneous document integration pp. 235-258

- Prudhvi Janga and Karen C. Davis
- Towards a comparative evaluation of text-based specification formalisms and diagrammatic notations pp. 259-283

- Kobamelo Moremedi and John Andrew Van Der Poll
- Effective and efficient distributed management of big clinical data: a framework pp. 284-313

- Alfredo Cuzzocrea, Giorgio Mario Grasso and Massimiliano Nolich
Volume 11, issue 2, 2019
- Sample selection algorithms for credit risk modelling through data mining techniques pp. 103-128

- Eftychios Protopapadakis, Dimitrios Niklis, Michalis Doumpos, Anastasios Doulamis and Constantin Zopounidis
- A flexible architecture for the pre-processing of solar satellite image time series data - the SETL architecture pp. 129-143

- Carlos Roberto Silveira Junior, Marilde Terezinha Prado Santos and Marcela Xavier Ribeiro
- EFP-tree: an efficient FP-tree for incremental mining of frequent patterns pp. 144-166

- Razieh Davashi and Mohammad-Hossein Nadimi-Shahraki
- Human activity recognition based on interaction modelling pp. 167-188

- T. Subetha and S. Chitrakala
- Using implicitly and explicitly rated online customer reviews to build opinionated Arabic lexicons pp. 189-203

- Mohammad Daoud
Volume 11, issue 1, 2019
- An innovative and efficient method for Twitter sentiment analysis pp. 1-18

- Hima Suresh and Gladston Raj. S
- A new development of an adaptive X − R control chart under a fuzzy environment pp. 19-44

- Hamed Sabahno, Seyed Meysam Mousavi and Amirhossein Amiri
- Can market indicators forecast the port throughput? pp. 45-63

- Aylin Caliskan and Burcu Karaöz
- Analysis of a performability model for the BRT system pp. 64-86

- Renata Dantas, Jamilson Dantas, Gabriel Alves and Paulo Maciel
- Deciphering published articles on cyberterrorism: a latent Dirichlet allocation algorithm application pp. 87-101

- Las Johansen Balios Caluza
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