International Journal of Data Analysis Techniques and Strategies
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 5, 2025
- Abnormal accrual estimation: an automation data analysis technique pp. 1-18

- Francesca Rossignoli and Nicola Tommasi
Volume 17, issue 1, 2025
- Application of text mining analysis in understanding GameFi adoption pp. 1-19

- Yimiao Zhang, Jing Ren, Wenting Liu and Ding Ding
- Brain tumour detection and multi classification using GNB-based machine learning architecture pp. 20-35

- Satish N. Gujar, Ashish Gupta, Sanjay Kumar P. Pingat, Rashmi Pandey, Atul Kumar, Deepak Gupta and Priya Pise
- Machine learning made easy: a beginner's guide for causal inference and discovery methods using Python pp. 36-53

- Irfan Saleem and Ali Irfan
- Prediction of success factors for mobile application using machine learning technique pp. 54-64

- Jyoti Deone, Nilima Dongre and Mohammad Atique
- Nutritional cluster analysis of leguminous food sources across West Africa pp. 65-75

- Donald Douglas Atsa'am, Gabriel Shimasaan Iorundu and Moses Terkula Ukeyima
Volume 16, issue 4, 2024
- Novel approach for depression detection on Reddit post pp. 367-385

- Tushtee Varshney, Sonam Gupta, Lipika Goel, Ishaan Saxena, Arjun Singh, Arun Kumar Yadav and Pradeep Gupta
- Question optimisation: building quiz bowl tournament sets pp. 386-409

- Kara L. Combs and Trevor J. Bihl
- Establishing the significance of spiritual environment with the effects of herbals: an empirical approach on students' QoL in the South Asian continent pp. 410-461

- Rohit Rastogi, Mamta Saxena, Richa Singh, Yati Varshney, Pranav Sharma and Vaibhav Aggarwal
- Streamlining check processing: advancing Arabic handwriting verification with a CNN-based system pp. 462-486

- Hamza Benyezza, Reda Kara, Mounir Bouhedda, Mosaab Benhadjer, Patrice Wira and Samia Rebouh
- A machine learning-based food recommendation system with nutrition estimation pp. 487-507

- Anupama Nandeppanavar, Medha Kudari, Prasanna Bammigatti and Kaveri Vakkund
Volume 16, issue 3, 2024
- Integrated cyber security risk management-insurance and investment cost analysis pp. 223-261

- Thomas (Yew Sing) Lee
- CEVAB: NIR-VIS face recognition using convolutional encoder-based visual attention block pp. 262-281

- Patil Jayashree Madhukar, P.M. Ashok Kumar and R. Anitha
- Boosting CNN network performance for face recognition in an authentication system pp. 282-310

- Hamza Benyezza, Reda Kara, Mounir Bouhedda, Zine Eddine Safar Zitoun and Samia Rebouh
- Optimising IPL squad composition: a mathematical framework for efficient team selection on a limited budget in a multi-criteria, multi-objective environment pp. 311-340

- Pabitra Kumar Dey, Abhijit Banerjee and Dipendra Nath Ghosh
- Sentiment analysis of customer reviews for Algerian dialect using the DziriBERT model pp. 341-362

- Fateh Bougamouza and Samira Hazmoune
Volume 16, issue 2, 2024
- A study of stellar evolution based on structural equation modelling of stellar parameters pp. 105-125

- Sushovon Jana and Chandranath Pal
- A medical device distribution network design strategic planning process and optimisation model pp. 126-161

- Renato de Matta, Tan Miller and Emmanuel Peters
- Construct modelling, statistical analysis and empirical validation using PLS-SEM: a step-by-step guide of the analysis procedure pp. 162-180

- Sushant Kr. Vishnoi, Smriti Mathur, Teena Bagga, Abhishek Singhal, Pankaj Rawal, Sanjeev Sharma and Rajesh Yadav
- An intelligent social protection service beneficiary selection scheme using machine learning and a mobile application for social safety net program pp. 181-206

- Md. Zanea Alam and Mahfuzulhoq Chowdhury
- FESSARec: explaining course recommendations using fuzzy expert system and self-attention pp. 207-221

- Mehbooba P. Shareef, Babita Roslind and Jimson Mathew
Volume 16, issue 1, 2024
- Sentiment analysis of Twitter data using machine learning: COVID-19 perspective pp. 1-16

- Shobhit Srivastava, Mrinal Kanti Sarkar and Chinmay Chakraborty
- Modelling the critical success factors of software development freelancing using an intuitionistic fuzzy DEMATEL approach pp. 17-31

- Dharyll Prince Mariscal Abellana
- Analysis of machine learning's performance in stock market prediction, compared to traditional technical analysis indicators pp. 32-46

- Mohammed Bouasabah
- A user friendly anger and anxiety disorder prediction scheme using machine learning and a mobile application for mental healthcare pp. 47-81

- Mohammad Salah Uddin and Mahfuzulhoq Chowdhury
- Text mining on social media data: a systematic literature review pp. 82-104

- Sarah Bukhari and Muhammad Ramzan
Volume 15, issue 3, 2023
- Data analytics and artificial intelligence in e-marketing: techniques, best practices and trends pp. 147-178

- Andrew F. Ward, Mage Marmol, David Lopez-Lopez, Patricia Carracedo and Angel A. Juan
- Pre-processing of ECG signal based on ANF and ICA: a comparison pp. 179-197

- Varun Gupta, Parvin Kumar, Sourav Diwania, Nitin Kumar Saxena and Natwar Singh Rathore
- An intelligent timestamp data manipulation methodology for customer level resource efficient short-term electric load forecasting pp. 198-216

- Ali Waqas, Muhammad Saleem, Abdul Khaliq and Amanullah Yasin
- Depression detection using semantic representation based semi-supervised deep learning pp. 217-237

- Gaurav Kumar Gupta and Dilip Kumar Sharma
- Food recognition using enhanced squirrel search optimisation algorithm and convolutional neural network pp. 238-254

- Megha Chopra and Archana Purwar
Volume 15, issue 1/2, 2023
- Analysis of PCS-QoL to investigate the holistic health for sustainable way of living in smart cities of 21st century pp. 4-40

- Rohit Rastogi, Rohan Tyagi, Tribhuvan Mishra, Vaishnavi Mishra and Utkarsh Pratap Shahi
- Effect of noise uncertainty during spectrum sensing for cognitive radio ad hoc networks pp. 41-56

- Debabrata Dansana and Prafulla Kumar Behera
- Improving the accuracy of real field pomegranate fruit diseases detection and visualisation using convolution neural networks and grad-CAM pp. 57-75

- Vaishali Nirgude and Sheetal Rathi
- The impact of online trading from a personal and technical perspective on trade stocks in emerging markets pp. 76-96

- Abdulrhman M. Alshareef and Mohammed Khojah
- Prognosis of urban environs using time series analysis for preventing overexploitation using artificial intelligence pp. 97-115

- S. Shitharth, Hariprasath Manoharan, Lakshmi Narayanan, Takkedu Malathi, S. Vatchala and Kommu Gangadhara Rao
- Study of Python libraries for NLP pp. 116-128

- Anand Khandare, Nipun Agarwal, Amruta Bodhankar, Ankur Kulkarni and Ishaan Mane
- Using free open-source tools for text visualisation over unstructured corpus effectively pp. 129-146

- Gowri R. Choudhary and Iti Sharma
Volume 14, issue 2, 2022
- Inequalities in the geographic distribution of chronic diseases in Brazil: an index methodology pp. 89-104

- Simone Maria Da Silva Lima, Caroline Maria De Miranda Mota and Danielle Freitas Santos Marinho
- Machine learning-based sentiment analysis of Gujarati reviews pp. 105-121

- Parita Shah and Priya Swaminarayan
- A machine learning-based approach to predict university students' depression pattern and mental healthcare assistance scheme using Android application pp. 122-139

- Abu Bakkar Siddique and Mahfuzulhoq Chowdhury
- Recognition of online handwritten Telugu stroke by detected dominant points using curvature estimation pp. 140-158

- Srilakshmi Inuganti and R. Rajeshwara Rao
- Long-term corporate social responsibility agenda considering climate change policy and conservation of forest - an exploratory analysis of Kerala-based companies pp. 159-168

- Rajesh Veluthan
Volume 14, issue 1, 2022
- Detection of stragglers and optimal rescheduling of slow running tasks in big data environment using LFCSO-LVQ classifier and enhanced PSO algorithm pp. 1-21

- Hetal A. Joshiara, Chirag S. Thaker, Sanjay M. Shah and Darshan B. Choksi
- Location and time factors' effect on types of traffic accident in Kuwait pp. 22-31

- Sharaf AlKheder, Fahad AlRukaibi and Ahmad Aiash
- An ECOSVS-based support vector machine for network anomaly detection pp. 32-54

- Meenal Jain and Vikas Saxena
- Is matching in different situations equally applicable for impact evaluation studies when using observational data? pp. 55-78

- Apsara Karki Nepal, Ghulam Muhammad Shah and Farid Ahmad
- Heywood cases: possible causes and solutions pp. 79-88

- Rayees Farooq
Volume 13, issue 3, 2021
- Improving sentiment analysis using preprocessing techniques and lexical patterns pp. 171-185

- Stefano Cagnoni, Laura Ferrari, Paolo Fornacciari, Monica Mordonini, Laura Sani and Michele Tomaiuolo
- Rough set-based attribute reduction and decision rule formulation for marketing data pp. 186-206

- Murchhana Tripathy, Anita Panda and Santilata Champati
- A methodical evaluation of classifiers in predicting academic performance for a multi-class approach pp. 207-226

- A. Princy Christy and N. Rama
- Improving the predictive ability of multivariate calibration models using support vector data description pp. 227-243

- Walid Gani
- Microarray cancer classification using feature extraction-based ensemble learning method pp. 244-263

- Anita Bai and Swati Hira
Volume 13, issue 1/2, 2021
- Efficient data clustering algorithm designed using a heuristic approach pp. 3-14

- Poonam Nandal, Deepa Bura and Meeta Singh
- Bayesian consensus clustering with LIME for security in big data pp. 15-35

- S. Balamurugan and M. Thangaraj
- Semantic integration of traditional and heterogeneous data sources (UML, XML and RDB) in OWL2 triplestore pp. 36-58

- Oussama El Hajjamy, Hajar Khallouki, Larbi Alaoui and Mohamed Bahaj
- Sentiment classification of review data using sentence significance score optimisation pp. 59-71

- Ketan Kumar Todi, S.N. Muralikrishna and B. Ashwath Rao
- Evaluating information criteria in latent class analysis: application to identify classes of breast cancer dataset pp. 72-87

- Abdallah Abarda, Mohamed Dakkon, Khawla Asmi and Youssef Bentaleb
- Improving social media engagements on paid and non-paid advertisements: a data mining approach pp. 88-106

- Jen-Peng Huang and Genesis Sembiring Depari
- Towards knowledge warehousing: application to smart housing pp. 107-127

- Hadjer Moulai and Habiba Drias
- Road signs recognition: state-of-the-art and perspectives pp. 128-150

- Btissam Bousarhane, Saloua Bensiali and Driss Bouzidi
- Combining planning and learning for context aware service composition pp. 151-169

- Tarik Fissaa, Mahmoud El Hamlaoui, Hatim Guermah, Hatim Hafiddi and Mahmoud Nassar
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