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:
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…)
Open access policy
HASTAC and KDnuggets are partners.
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