International Journal of Data Mining, Modelling and Management
- Editor in Chief
- Prof. John Wang
- ISSN online
- 1759-1171
- ISSN print
- 1759-1163
- 4 issues per year
- Impact factor (Clarivate Analytics) 2023 0.5 (5 Year Impact Factor 0.5)
- CiteScore 0.9 (2022)
JCI 0.08

Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications.
Topics covered include
- Artificial intelligence
- Biomedical science
- Business analytics/intelligence, process modelling
- Computer science, database management systems
- Data management, mining, modelling, warehousing
- Engineering
- Environmental science, environment (ecoinformatics)
- Information systems/technology, telecommunications/networking
- Management science, operations research, mathematics/statistics
- Social sciences
- Business/economics, (computational) finance
- Healthcare, medicine, pharmaceuticals
- (Computational) chemistry, biology (bioinformatics)
- Sustainable mobility systems, intelligent transportation systems
- National security
Objectives
IJDMMM aims to provide a professional forum for formulating, discussing and disseminating these solutions, which relate to the design, development, deployment, management, measurement, and adjustment of data warehousing, data mining, data modelling, data management, and other data analysis techniques. They should form a common ground on which a data chain management system can be built, shared and supported by professionals from different disciplines.
IJDMMM provides a communication channel between practitioners and academics to discuss problems, challenges and opportunities in all aspects of data mining, data modelling, data analysis, and data management. The process of knowledge creation can include multiple components, including data acquisition/collection, data accumulation, data maturation, data selection and refining, data storage and retrieval, data pre-processing, data analysis and validation, data maintenance and data presentation, data warehousing, data mining and/or modelling, and information extraction. Therefore, data chain management cannot be isolated, separated, broken, or ignored. It is an integrated and interconnected process.
Readership
- Academics and libraries in the field
- Consultants
- Data analysts and data miners
- Database administrators
- Revenue and/or risk managers
- Applied statisticians
- Operation researchers
- Management scientists
- Marketing researchers and managers
- Policy makers
- Strategic planners
- Educators and graduate students
- Problem solvers and decision makers
Contents
IJDMMM publishes research papers, innovative ideas, reviews, surveys, debates, reports, case studies, position notes, practice comments, book reviews, commentaries, and news. Special issues devoted to important topics in data mining, modelling and management will occasionally be published.
IJDMMM is indexed in:
- Scopus (Elsevier)
- Web of Science: Emerging Sources Citation Index (Clarivate Analytics)
- Academic OneFile (Gale)
- cnpLINKer (CNPIEC)
- DBLP Computer Science Bibliography
- Expanded Academic ASAP (Gale)
- Google Scholar
- Info Trac (Gale)
- Inspec (Institution of Engineering and Technology)
- J-Gate
- ProQuest Advanced Technologies Database with Aerospace
- RePEc
- Zentralblatt MATH (FIZ Karlsruhe)
IJDMMM is listed in:
Editor in Chief
- Wang, John, Montclair State University, USA
(prof.johnwanggmail.com)
American Editor
- McLeod, Dennis, University of Southern California, USA
Australian Editor
- Zhao, Yanchang, Commonwealth Scientific and Industrial Research Organisation, Australia
European Editor
- Liberati, Diego, Italian National Research Council, Italy
Indian Editor
- Saxena, Amit, Central University, India
Japanese Editor
- Zhong, Ning, Maebashi Institute of Technology, Japan
Senior Editors
- Hüllermeier, Eyke, University of Marburg, Germany
- Ras, Zbigniew W., University of North Carolina at Charlotte, USA
Editorial Board Members
- Acuna, Edgar, University of Puerto Rico at Mayaguez, Puerto Rico
- Afolabi, Sulaimon Atolagbe, Africa4AI, South Africa
- Aghaei, Iman, Cyprus International University, Cyprus
- Ahmed, Abd El-Aziz, Cairo University, Egypt
- Ahmed, Chowdhury Farhan, University of Dhaka, Bangladesh
- Akbar Ghanadian, Sara, Ohio University, USA
- Aluvalu, Rajanikanth, Vardhaman College of Engineering, India
- Arslan, Abdullah, University of Vermont, USA
- Asif, Muhammad, National Textile University, Pakistan
- Bangyal, Waqas, University of Gujrat, Pakistan
- Benali, Khaled, University Tahri Mohammed Bechar, Algeria
- Bhattacharyya, Ramkishore, Oracle Corporation, USA
- Boru İpek, Aslı, Adana Alparslan Türkeş Science and Technology University, Turkey
- Cadot, Martine, University of Nancy, France
- Cao, Longbing, University of Technology, Sydney, Australia
- Caramia, Massimiliano, University of Rome “Tor Vergata”, Italy
- Cen, Yonghua, Nanjing University of Science and Technology, China
- Chan, Christine, University of Regina, Canada
- Chandrasekara, Vasana, University of Kelaniya, Sri Lanka
- Chen, Suhao, South Dakota School of Mines and Technology, USA
- Cuzzocrea, Alfredo, University of Calabria, Italy
- Daradkeh, Mohammad, Yarmouk University, Jordan
- Darmont, Jérôme, Université Lumière - Lyon 2, France
- David, H. Benjamin Fredrick, K.R. College of Arts and Science, India
- Dosdogru, Ayse Tugba, Adana Alparslan Türkes Science and Technology University, Turkey
- Duan, Yuehua, University of North Carolina at Charlotte, USA
- Dubey, Ashutosh Kumar, Chitkara University, India
- Dubey, Hema, Maulana Azad National Institute of Technology, India
- Dwivedi, Ashutosh Dhar, Copenhagen Business School, Denmark
- El Bouhissi, Houda, University of Bejaia, Algeria
- Gallinucci, Enrico, University of Bologna, Italy
- Gamidullaeva, Leyla, Penza State University, Russian Federation
- Garg, Muskan, Amity University, India
- Gaur, Loveleen, Amity University, India
- Gharehgozli, Amir, California State University Northridge, USA
- Gupta, Akash, California State University, Northridge, USA
- Gupta, Sangeeta, Chaitanya Bharathi Institute of Technology, India
- Hadwan, Mohammed, Qassim University, Saudi Arabia
- Huang, Wenxue, Guangzhou University , China
- Hunyadi, Daniel, “Lucian Blaga” University of Sibiu, Romania
- Jain, Arti, Jaypee Institute of Information Technology, India
- Jensen, Richard, Aberystwyth University, UK
- Kashyap, Ramgopal, Amity University Chhattisgarh, India
- Kelly, Maurie, Pennsylvania State University, USA
- Khakifirooz, Marzieh, Tecnológico de Monterrey, Mexico
- Khaleel, Mohammed, King Khalid University, Saudi Arabia
- Kretowski, Marek, Bialystok Technical University, Poland
- Kundu, Prasenjit, Army Institute of Management, India
- Kyaw, Khin Sandar, Prince of Songkla University, Thailand
- Laurent, Dominique, Université de Cergy-Pontoise, France
- Lee-Post, Anita, University of Kentucky, USA
- Leung, Carson, University of Manitoba, Canada
- Li, Zhao, Zhejiang University, China
- Lin, Wen-Yang, National University of Kaohsiung, Taiwan, Province of China
- Lo, Victor, Fidelity Investments, USA
- Malerba, Donato, Università degli Studi di Bari, Italy
- Menaouer, Brahami, National Polytechnic School of Oran - Maurice Audin, Algeria
- Mercaldo, Francesco, University of Molise, Italy
- Morantz, Brad, Prime Solutions Group Inc., USA
- Muhlenbach, Fabrice, Université Jean Monnet de Saint-Etienne, France
- Obiedat, Mamoon, Hashemite University, Jordan
- Olson, David L., University of Nebraska - Lincoln, USA
- Ordieres, Joaquin, Politechnical University of Madrid, Spain
- Pinarbasi, Fatih, Istanbul Medipol University, Turkey
- Rahal, Imad, College of Saint Benedict and Saint John’s University, USA
- Raja, S.P., Vellore Institute of Technology, India
- Rauch, Jan, University of Economics, Czech Republic
- Robnik-Sikonja, Marko, University of Ljubljana, Slovenia
- Sardana, Divya, Teradata Corp., USA
- Segall, Richard S., Arkansas State University, USA
- Sharma, Ashish K., Bajaj Institute of Technology Wardha, India
- Sharma, Nakul, Sinhgad Academy of Engineering, India
- Sheth, Prasham, Columbia University, USA
- Shokouhyar, Sajjad, University of Shahid Beheshti, Iran
- Singh, Mayank, Consilio Research Lab, Estonia
- Srinivasan, Satish Mahadevan, Penn State University, USA
- Srivastava, Sarthak, Visa Inc, USA
- Sundaram, David, University of Auckland, New Zealand
- Syerov, Yuriy, Lviv Polytechnic National University, Ukraine
- Taherdoost, Hamed, Hamta Group, Canada
- Thangaraj, John M., IBM, USA
- Tripathi, Abhishek, The College of New Jersey, USA
- Ul Hassan, Mohamed Manzoor, Briggs and Stratton LLC, USA
- Ursino, Domenico, University Mediterranea of Reggio Calabria, Italy
- Wang, Di, AFE Inc., USA
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
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- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
Journal news
Sentimental movie analysis spots fake reviews
14 June, 2023
In the information-overload era, authenticity is critical but elusive, while fake news, disinformation, and fraudulent reviews are common but not always easily spotted. Research in the International Journal of Data Mining, Modelling and Management focuses on one particular aspect of this problem how to identify a fake review, specifically a fake movie review, using sentiment analysis techniques to discern meaning from a given review and determine whether it is genuine or not. The work has implications for movie buffs the world over who might then navigate the endless reviews with confidence. The results should also improve the credibility of the movie industry by helping to identify and remove such fraudulent reviews. Isha Gupta and Neha Gupta of the Faculty of Computer Applications at the Manav Rachna International Institute of Research and Studies in Faridabad, India, and Indranath Chatterjee of the Department of Computer Engineering at Tongmyong University in Busan, South Korea, have analyzed vast amounts of text data to uncover the specific words that contribute to biases in reviews and their influence on overall viewer sentiment. The team used a "valence-aware" dictionary, one that understands the emotional tone or polarity conveyed by particular words or phrases. Valence can be of a positive, negative, or neutral nature [...]
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