Journal of Data Mining and Digital Humanities

Aims & Scope

The Journal of Data Mining & Digital Humanities (JDMDH) focuses on the intersection of computer science and the humanities disciplines, leveraging digital tools such as data visualization, information retrieval, statistics, and text mining. It publishes scholarly work that extends traditional humanities disciplines. JDMDH publishes relevant data analyses with human-generated datasets. The publication aims to be as precise and complete as possible, including a manuscript with a detailed description of the data analysis, bibliography, commented examples, and a case study of failure, as well as reproducible experiments. The journal publishes original research and review articles in areas including, but not limited to, Digital Humanities Data (cultural, literary, philosophical, economic, psychological, sociological, opinion, ethnological, demographic, geographical, historical, musicological, cinematographic, archaeological, architectural, legal, theological, educational...) and covers topics such as computational intelligence applications, corpus archiving and creation models, audiovisual indexing and documentary engineering, cognition modeling, collaborative and multi-agent systems, computational qualitative methods, cyberinfrastructure, data ecology, data normalization and quality, data warehouses, big data analysis, digital platforms, digital standards for data management, digital resources, ontologies and metadata, discourse analysis, digital humanities data, information extraction algorithms, knowledge discovery, knowledge visualization, machine learning models, model selection, multimedia mining (image, video), multimodal mining (text, speech, image), multivariate data analysis, natural language processing, social data mining, social network analysis, text mining, uncertainty models, usage and practice observation, user modeling and simulation, user needs and ergonomics modeling, variable selection, virtual ethnography, and web mining.

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

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Subject Classification