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Digital Humanities is a convergence of humanities fields (linguistic, sociology, history, psychology…) using data archives, processing and interaction. Data mining is an interdisciplinary subfield of computer science, involving the methods at the intersection of artificial intelligence, machine learning and database systems. The Journal of Data Mining & Digital Humanities is concerned with the intersection of computing and the disciplines of the humanities, with tools provided by computing such as data visualisation, information retrieval, statistics, text mining by publishing scholarly work beyond the traditional humanities.

Focus and Scope

JDMDH publishes relevant data analysis with human-produced dataset. The publication is as precise and comprehensive as possible. To this aim, the publication includes:

• a manuscript containing the detailed description of the published data analysis, of its bibliography, along with commented examples and a failure case analysis
• reproducible experiments

Digital Humanities is a convergence of humanities fields (linguistic, history, psychology…) using data archives, processing and interaction. Data mining is an interdisciplinary subfield of computer science, involving the methods at the intersection of artificial intelligence, machine learning and database systems. The Journal of Data Mining & Digital Humanities is concerned with the intersection of computing and the disciplines of the humanities, with tools provided by computing such as data visualisation, information retrieval, statistics, text mining by publishing scholarly work beyond the traditional humanities.

Data Mining & Digital Humanities publishes original research, review papers including but not limited to the following fields and specifically about Digital Humanities Data (cultural, literary, philosophical, economical, psychological, sociological, opinion, ethnological, demographical, geographical, historical, musicological, cinematographical, archeological, architectural, law, theological, educational…)

• Applications of computational intelligence
• Archiving and corpus creation models
• Audiovisual indexing and document engineering
• Cognition modeling
• Collaborative and multi-agent systems
• Computational qualitative methods
• Cyberinfrastructure
• Data Ecology
• Data normalization and quality
• Data warehousing
• Data-intensive/ Big Data Analytics
• Digital plat-forms
• Digital standards for data management
• Digitam resources, ontology and metadata
• Discourse Analysis
• Digital Humanities Data
• Information Extraction Algorithms
• Knowledge Mining
• 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
• Use and practices observation
• User modeling and simulation
• User needs and ergonomy modeling
• Variables selection
• Virtual Ethnography
• Web mining

Open access policy

• All JDMDH published articles are available on open access. 

JDMDH is a joint project of CNRS, INRAE and INRIA.

HASTAC and KDnuggets are partners. 

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