Journal of Database Management (JDM)

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Journal Catalog 2021/2022

Journal of Database Management (JDM)

This journal will be converting from Hybrid Open Access to full Gold Open Access on January 1, 2023. All article manuscripts (in process and newly submitted) will be processed through as open access submissions in preparation for the 2023 conversion.

Editor-in-Chief: Keng Siau (City University of Hong Kong, Hong Kong SAR)

Indexed In: Compendex (Elsevier Engineering Index), INSPEC, SCOPUS, Web of Science Science Citation Index Expanded (SCIE) and 44 more indices

Published: Continuous Volume |Established: 1990

ISSN: 1063-8016|EISSN: 1533-8010|DOI: 10.4018/JDM

Journal Metrics

Submission to Acceptance: Approx. 24 - 28 Weeks

Acceptance to Publication: Approx. 8 - 12 Weeks

Acceptance Rate: Approx. 7 - 17%

Latest Published Articles

Published: Apr 1, 2022

DOI: 10.4018/JDM.306188

Volume 33

Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval Open Access Article

Deep unsupervised hashing methods are gaining attention in the field of remote sensing (RS) image retrieval due to the rapid growth in the volume of unlabeled RS data. Most previous unsupervised... Show More

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MLA

Jing, Weipeng,et al. "Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval." vol.33, no.2 2022: pp.1-19. http://doi.org/10.4018/JDM.306188

APA

Jing, W., Xu, Z., Li, L., Wang, J., He, Y., & Chen, G. (2022). Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval. , 33(2), 1-19. http://doi.org/10.4018/JDM.306188

Chicago

Jing, Weipeng and Zekun Xu, Linhui Li, Jian Wang, Yue He, and Guangsheng Chen. "Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval," 33, no.2: 1-19. http://doi.org/10.4018/JDM.306188

Export Reference

Published: Apr 1, 2022

DOI: 10.4018/JDM.309413

Volume 33

Random Forest Algorithm Based on Linear Privacy Budget Allocation Open Access Article

In the era of big data with exponential growth in data volume, how to reduce data security issues such as data leakage caused by machine learning is a hot area of recent research. The existing... Show More

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MLA

Dong, Yanling,et al. "Random Forest Algorithm Based on Linear Privacy Budget Allocation." vol.33, no.2 2022: pp.1-19. http://doi.org/10.4018/JDM.309413

APA

Dong, Y., Zhang, S., Xu, J., Wang, H., & Liu, J. (2022). Random Forest Algorithm Based on Linear Privacy Budget Allocation. , 33(2), 1-19. http://doi.org/10.4018/JDM.309413

Chicago

Dong, Yanling and Shufen Zhang, Jingcheng Xu, Haoshi Wang, and Jiqiang Liu. "Random Forest Algorithm Based on Linear Privacy Budget Allocation," 33, no.2: 1-19. http://doi.org/10.4018/JDM.309413

Export Reference

Published: Apr 1, 2022

DOI: 10.4018/JDM.309414

Volume 33

An Efficient Method of Tooth Segmentation Under Massive Medical Data Open Access Article

To accurately and efficiently complete tooth segmentation from a large amount of oral medical data, the burden of doctors should be reduced. An automatic seed picking method based on 2D projection... Show More

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Add to Your Personal Library: Article

Cite Article

MLA

Ma, Tian,et al. "An Efficient Method of Tooth Segmentation Under Massive Medical Data." vol.33, no.2 2022: pp.1-22. http://doi.org/10.4018/JDM.309414

APA

Ma, T., Yang, Y., Li, Y., Li, Z., & Li, Y. (2022). An Efficient Method of Tooth Segmentation Under Massive Medical Data. , 33(2), 1-22. http://doi.org/10.4018/JDM.309414

Chicago

Ma, Tian and Yizhou Yang, Yun Li, Zhanli Li, and Yuancheng Li. "An Efficient Method of Tooth Segmentation Under Massive Medical Data," 33, no.2: 1-22. http://doi.org/10.4018/JDM.309414

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View Full Table of Contents

Description, Mission, Scope & Coverage

Description:

The Journal of Database Management (JDM) publishes original research on all aspects of database management, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information... Show More

Mission & Scope:

The Journal of Database Management (JDM) publishes original research on all aspects of database management, design science, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology, information systems, and management of knowledge resources. The journal is... Show More

Coverage:

The Journal of Database Management (JDM) publishes three types of rigorous and high quality articles: research articles, research notes, and research reviews. Research articles are full innovative findings that make substantial theoretical and empirical contributions to knowledge in the field by using various theoretical and methodological approaches. Research notes are novel and complete but not as comprehensive as full research articles; they include exploratory studies and methodological articles. Research reviews are insightful and carefully crafted articles that conceptualize research areas, synthesize previous innovative findings, advance the understanding of the field, and identify and develop future research directions. Authors are welcome to submit manuscripts that qualify for any of the three categories.

Topics of interest to the journal include, but are not limited to, the following areas:

Agile systems development
Artificial intelligence
Augmented and virtual reality
Bio-informatics
Business Analytics
Business Intelligence
Cloud computing
Cognitive modeling
Conceptual modeling
Cybersecurity
Data Science
Data quality
Data warehousing and data mining
Database management and administration
Database models and query languages
Database security and integrity
Design science
E-business, m-commerce, and social-commerce models and architectures
Empirical software engineering
Enterprise systems and supply chain integration
Financial technology
Geographical information systems
Human-computer interaction and user experience
Heterogeneous and distributed database
Information and knowledge modeling
Internet of Things
Intelligent agents and agent-based applications
Knowledge engineering and management
Machine learning
Method engineering and metamodeling
Object-oriented methods and methodologies
Requirements engineering
Service-oriented architecture/service-oriented computing
Semantic Web and ontology
Smart technology
Software engineering
System analysis and design
Unified modeling language and unified process
Web database and Web-based information systems
Web design methods and methodologies

Editorial Board

Editor-in-Chief: Keng Siau, City University of Hong Kong, Hong Kong
Managing Editor: XiaoFeng Chen, Western Washington University, United States
Associate Editors: B.C.Y. Tan, National University of Singapore, Singapore; Il-Yeol Song, Drexel University, United States; Jan Recker, University of Cologne, Germany; Kalle Lyytinen, Case Western Reserve University, United States; Kwok Kee Wei, City University of Hong Kong, China; M. S. Krishnan, University of Michigan, United States; Mark Gillenson, University of Memphis, United States; Matti Rossi, Aalto University, Finland; Ram L. Kumar, University of North Carolina Charlotte, United States; Richard Baskerville, Georgia State University, United States; Roger Chiang, University of Cincinnati, United States; Sang-Bing Tsai, Wuyi University, China; International Engineering and Technology Institute, Hong Kong, Taiwan https://orcid.org/0000-0001-6988-5829; Sudha Ram, University of Arizona, United States; Veda Storey, Georgia State University, United States https://orcid.org/0000-0002-8735-1553; Vijay Mookerjee, University of Texas at Dallas, United States; Wen-Lung Shiau, Zhejiang University of Technology, China https://orcid.org/0000-0001-7974-5168
Editorial Review Board: Ah-Hwee Tan, Singapore Management University, Singapore; Akhilesh Bajaj, University of Tulsa, United States https://orcid.org/0000-0002-7061-1953; Alan Yang, University of Nevada- Reno, United States; Alec Yasinsac, University of South Alabama, United States; Andreas Opdahl, University of Bergen, Norway https://orcid.org/0000-0002-3141-1385; Anjana Susarla, Michigan State University, United States; Anteneh Ayanso, Brock University, Canada; Arvind K. Tripathi, University of Washington Business School, United States; Balaji Padmanabhan, University of South Florida, United States; Balasubramaniam Ramesh, Georgia State University, United States; Barbara Pernici, Politecnico di Milano, Italy; Benjamin Yen, The University of Hong Kong, Hong Kong; Bin Zhang, Texas A&M University, United States https://orcid.org/0000-0003-0675-2222; Bin Zhu, Oregon State University, United States; Bingsheng He, National University of Singapore; Binny Samuel, University of Cincinnati, United States; Briony Oates, University of Teesside (retired), United Kingdom; Carmen Leong, University of New South Wales, Australia; Chengqi (John) Guo, James Madison University, United States https://orcid.org/0000-0001-8249-4734; Chih-Ping Wei, National Tsinghua University, Taiwan; Choon Ling Sia, City University of Hong Kong, Hong Kong; Christopher Califf, Western Washington University, United States; Christopher Yang, Drexel University, United States; Chuan-Hoo Tan, National University of Singapore, Singapore; Chunzhi Su, Google, United States; Dan Turk, Colorado State University, United States; Daniel Zeng, University of Arizona, United States; Dapeng Liu, The University of New South Wales, Australia https://orcid.org/0000-0002-8822-656X; David Tegarden, Virginia Tech, United States https://orcid.org/0000-0001-9538-7225; David Xu, City University of Hong Kong, Hong Kong; Debra VanderMeer, Florida International University, United States https://orcid.org/0000-0002-5930-6667; Diane Strong, Worcester Polytechnic Institute, United States; Divakaran Liginlal, Carnegie Mellon University, United States; Dmitry Zhdanov, Georgia State University, United States; Dongsong Zhang, University of Maryland, Baltimore County, United States; Ee-Peng Lim, Singapore Management University, Singapore; Fiona Fui-Hoon Nah, Missouri University of Science and Technology, United States; Franz Lehner, University of Passau, Germany; Gail-Joon Ahn, Arizona State University, United States; Geert Poels, Ghent University, Belgium; Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy; Glenn J. Browne, Texas Tech University, United States; Gondy Leroy, University of Arizona, United States; Guohou Shan, Temple University, United States; Haifeng Xu, Shanghai Jiao Tong University, China; Han Zhang, Georgia Institute of Technology, United States; Harry Wang, University of Delaware, United States; Heikki Topi, Bentley College, United States; Heng Xu, The Pennsylvania State University, United States; Henry Bi, Willamette University, United States https://orcid.org/0000-0001-5408-8704; Heshan Sun, University of Oklahoma, United States; Hongyi Zhu, The University of Texas at San Antonio, United States https://orcid.org/0000-0001-6794-0230; Huimin Zhao, University of Wisconsin - Milwaukee, United States; Hyoung Kim, Seoul National University, Korea, Republic Of; Israel Spiegler, Tel Aviv University, Israel; J. Leon Zhao, University of Arizona, United States; Jacky Akoka, CEDRIC-CNAM & IMT-BS, France; Jacquelyn Rees, Purdue University, United States; Jan Stage, Aalborg University, Denmark; Jason Xiong, Appalachian State University, United States https://orcid.org/0000-0001-9213-5698; Jeffrey Parsons, Memorial University of Newfoundland, Canada; Jian Ma, City University of Hong Kong, China; Jian Mou, Pusan National University, Korea, Republic Of; Jian Yang, Macquaire University, Australia; Jingguo Wang, University of Texas at Arlington, United States; Jingjing Li, University of Virginia, United States; Jinsoo Park, Seoul National University, Korea, Republic Of; John Erickson, University of Nebraska at Omaha, United States; John Krogstie, Norwegian University of Science and Technology, Norway; John Lamp, Deakin University (retired), Australia; John Wells, University of Massachusetts Amherst, United States; Jolita Ralyté, University of Geneva, Switzerland; Juan Du, Shanghai University, China; Kaushik Dutta, University of South Florida, United States https://orcid.org/0000-0001-8076-1472; Konstantina Valogianni, IE University, Spain; Kunpeng Zhang, University of Maryland, United States; Ladjel Bellatreche, LIAS/ISAE-ENSMA, France; Lilong Jiang, The Ohio State University, United States; Lin Hao, Fordham University, United States; Lina Zhou, University of Maryland, United States; Mahesh Raisinghani, Texas Woman's University, United States https://orcid.org/0000-0002-5074-0686; Marcus Rothenberger, University of Nevada-Las Vegas, United States; Michael Chau, The University of Hong Kong, Hong Kong; Michael Lang, National University Ireland, Ireland; Michael Muehlen, Stevens Institute of Technology, United States; Michael Rosemann, Queensland University of Technology, Australia; Ming Fan, University of Washington Business School, United States; Ming-Chien Shan, Hewlett-Packard Laboratories, United States; Mukesh Mohania, Indraprastha Institute of Information Technology Delhi, India; Mun Yi, KAIST, United States https://orcid.org/0000-0003-1784-8983; Nathan Twyman, Brigham Young University, United States; Nicolas Prat, ESSEC Business School, France https://orcid.org/0000-0002-8064-9357; Palash Bera, Saint Louis University, United States; Paul Benjamin Lowry, Virginia Tech, United States; Pei Xu, Auburn University, United States; Pei-Lee Teh, Monash University, Malaysia https://orcid.org/0000-0002-9107-478X; Peter Axel Nielsen, Aalborg University, Denmark; Phil Chan, Florida Institute of Technology, United States; Ping Zhang, Syracuse University, United States; Pnina Soffer, University of Haifa, Israel; Qing Li, Southwestern University of Finance and Economics, China; Rathindra Sarathy, Oklahoma State University, United States https://orcid.org/0000-0001-7352-2676; Riyaz Sikora, University of Texas at Arlington, United States; Robert Chiang, Fordham University, United States; Robin Poston, University of Memphis, United States; Ronald Mairer, University of Vienna, Austria; Sandeep Purao, Bentley University, United States; Scott Lloyd, University of Rhode Island, United States; Severin Grabski, Michigan State University, United States; Shankar Ganesan, Boston University, United States; Shazia Sadiq, The University of Queensland, Australia; Shiya Cao, Worcester Polytechnic Institute, United States; Shu Schiller, Wright State University, United States; Sjaak Brinkkemper, Utrecht University, Netherlands https://orcid.org/0000-0002-2977-8911; Stephen Liddle, Brigham Young University, United States; Subodha Kumar, Temple University, United States; Susanna Ho, Australian National University, Australia; Suzanne Barber, University of Texas at Austin, United States; Swee Tan, National University of Singapore, Singapore; Syam Menon, University of Texas-Dallas, United States; Taeha Kim, Chung-Ang University, Korea, Republic Of; Thomas (Yew Sing) Lee, University of Illinois, United States; Tok Wang Ling, National University of Singapore, Singapore; V. Owei, Cape Peninsula University of Technology, South Africa; V. Ramesh, Indiana University, United States; Vanessa Liu, Singapore University of Social Sciences, United States; Victoria Y. Yoon, Virginia Commonwealth University, United States; Vijayan Sugumaran, Oakland University, United States https://orcid.org/0000-0003-2557-3182; Wai Boh, Nanyang Business School, Singapore https://orcid.org/0000-0002-3432-0120; Wai Yin Mok, University of Alabama-Huntsville, United States; Wee Ng, Nanyang Technological University, Singapore; Wei Yue, University of Texas at Dallas, United States; Weidong Xia, Florida International University, United States; Weihong Ning, Central Connecticut State University, United States; Weiquan Wang, City University of Hong Kong, China; Weiyi Meng, Binghamton University, United States; Weiyin Hong, University of Nevada, Las Vegas, United States; Wenli Wang, Robert Morris University, United States; Wolfgang Maass, Saarland University, Germany; Wynne Hsu, National University of Singapore, Singapore; Xiang Zhao, National University of Defense Technology, China https://orcid.org/0000-0001-6339-0219; Xianjun Geng, Tulane University; Xiaocong Cui, University of New Mexico, United States; Xin Tan, Farleigh Dickinson University, United States; Xuhong Ye, Zhejiang University of Technology, China; Yang W. Lee, Northeastern University, United States; Yen-Hsien Lee, National Chiayi University, Taiwan; Yen-Yao Wang, Auburn University, United States; Yi Guo, University of Michigan - Dearborn, United States; Yicheng Song, University of Minnesota, United States; Yilu Zhou, Fordham University, United States; Ying Wang, Northern Illinois University, United States; Yinghui Yang, University of California, Davis, United States; Yingjiu Li, Singapore Management Center, Singapore; Yixiu Yu, Ball State University, United States https://orcid.org/0000-0002-3481-0648; Yong Tan, University of Washington, United States; Youngseok Choi, University of Southampton, United Kingdom; Yuan Long, Colorado State University Pueblo, United States; Yuheng Hu, University of Illinois at Chicago, United States; Yunfei Shi, The University of New South Wales, Australia; Zhanfei Lei, University of Massachusetts Amherst, United States; Zhangxi Lin, Texas Tech University, United States; Zhen Sun, George Washington University, United States https://orcid.org/0000-0001-5397-9521; Zhenhui Jiang, National University of Singapore, Singapore; Zhongju (John) Zhang, University of Connecticut, United States; Zhu Zhang, Chinese Academy of Sciences, China; Zhuoxin (Allen) Li, University of Wisconsin-Madison, United States; Zoonky Lee, Yonsei University, Korea, Democratic People's Republic Of

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IGI Global Open Access

As an academic publisher at the forefront of advancement for over 30 years, IGI Global OA provides quality, expediate OA publishing with a top-of-the-line production system backed by the international Committee on Publication Ethics (COPE). With a streamlined publishing process, flexible funding options, and more, researchers can freely and immediately share their peer-reviewed research with the world.

Rigorous and Expediate Publishing Process
Research Is Fully Free and Accessible to All (Creative Commons BY License)
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Acceleration of Citation Impact & Increased Indexing Potential
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Article Processing Charge (APC):

Payment of the APC fee (directly to the publisher) by the author or a funding body is not required until AFTER the manuscript has gone through the full double-blind peer review process and the Editor(s)-in-Chief at his/her/their full discretion has/have decided to accept the manuscript based on the results of the double-blind peer review process. 
Please note that IGI Global cannot schedule the article for publication or publish the article until payment has been received. It is also important to note that in scholarly publishing, utilizing an open access journal's resources and time with no intent to pay the open access Article Processing Charge (APC) if the article manuscript is accepted following the peer review process is considered to be unethical and exploitative.

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In the traditional subscription-based model, the cost to the publisher to produce each article is covered by the revenue generated by journal subscriptions. Under OA, all the articles are published under a Creative Commons (CC BY) license; therefore, the authors or funding body will pay a one-time article processing charge (APC) to offset the costs of all of the activities associated with the publication of the article manuscript, including:

Digital tools used to support the manuscript management and review process
Typesetting, formatting and layout
Online hosting
Submission of the journal's content to numerous abstracts, directories, and indexes
Third-party software (e.g. plagiarism checks)
Editorial support which includes manuscript tracking, communications, submission guideline checks, and communications with authors and reviewers
All promotional support and activities which include metadata distribution, press releases, promotional communications, web content, ads, fliers, brochures, postcards, etc. for the journal and its published contents
The fact that all published articles will be freely accessible and able to be posted and disseminated widely by
the authors
Professional line-by-line English language copy editing and proofreading*

*This service is only performed on article manuscripts with fully paid (not discounted or waived) APC fees.

APC Subsidizing and Funding

To assist researchers in covering the costs of the APC in OA publishing, there are various sources of OA funding. Additionally, unlike many other publishers, IGI Global offers flexible subsidies, 100% Open Access APC funding, discounts, and more. Learn More

Open Access Funding Resources

IGI Global recognizes that many researchers may not know where to begin when searching for OA funding opportunities. IGI Global recently launched an Open Access Funding Resources page for researchers to browse. This page provides a comprehensive list of OA funding sources available for researchers to secure funds for their various OA publications.

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This journal is currently actively seeking new submissions. Interested authors should ensure that their article manuscript adheres to the journal's submission guidelines and utilize the journal article template, which include originality of the manuscript, professional English language copy editing, APA formatting tips, and more. To submit an article for consideration, please begin the submission process below.

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Contact

Professor Keng Siau, PhD
Head of the Department of Information Systems
Chair Professor of Information Systems
City University of Hong Kong
E-mail: isjofdm@cityu.edu.hk

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Hershey, PA 17033, USA
717-533-8845 x100

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