Special Issue "Mining Humanistic Data 2019"

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: 31 August 2019

Special Issue Editors

Guest Editor
Dr. Phivos Mylonas

Department of Informatics, Ionian University, Kerkira, Greece
Website | E-Mail
Interests: knowledge-assisted multimedia analysis; multimedia information retrieval; multimedia personalization; user adaptation; user modeling; user profiling; visual context representation and analysis; human–computer interactions
Guest Editor
Dr. Christos Makris

Department of Computer Engineering and Informatics, University of Patras, Patra, Greece
Website | E-Mail
Interests: data structures; information retrieval; data mining; bioinformatics; string algorithmic; computational geometry; multimedia data bases; internet technologies
Guest Editor
Dr. Andreas Kanavos

Department of Computer Engineering and Informatics, University of Patras, Patra, Greece
Website | E-Mail
Interests: data mining; machine learning; information retrieval; big data; social media analytics; bioinformatics; string algorithmic
Guest Editor
Dr. Spyros Sioutas

Department of Computer Engineering and Informatics, University of Patras, Patra, Greece
Website | E-Mail
Interests: algorithmic data management; spatio-temporal database systems; distributed data structures and P2P overlays; cloud infrastructures; indexing; query processing and query optimization

Special Issue Information

Dear Colleagues,

The abundance of available data that is retrieved from or is related to the areas of Humanities and the human condition challenges the research community in processing and analyzing it. The aim of MHDW and, by extension, of this Special Issue is thus two-fold: to extract knowledge that will help one understand human behavior, creativity, ways of thinking, reasoning, learning, decision making, socializing, and even biological processes, and to exploit this extracted knowledge by incorporating it into intelligent systems that will support humans in their everyday activities.

The nature of humanistic data can be multimodal, semantically heterogeneous, dynamic, time- and space-dependent, and highly complicated. Translating humanistic information, e.g., behavior, state of mind, artistic creation, linguistic utterance, learning, and genomic information into numerical or categorical low-level data is a significant challenge on its own. New techniques, appropriate to deal with these types of data, need to be proposed and existing ones adapted.

In the same manner, an important aspect of the humanities is centered on managing, processing, and computationally analyzing biological and biomedical data. Hence, one of the aims of this Special Issue is to also attract researchers that are interested in designing, developing, and applying efficient data and text mining techniques for discovering the underlying knowledge existing in biomedical data, such as sequences, gene expressions, and pathways.

This Special Issue aims to bring together interdisciplinary approaches that focus on the application of innovative as well as existing data matching, fusion, mining and knowledge discovery, and management techniques (like decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, postprocessing, feature selection, and visualization techniques) to data derived from all areas of the humanities, e.g., linguistic, historical, behavioral, psychological, artistic, musical, educational, social, etc., as well as from domains related to the human condition such as bioinformatics.

Dr. Phivos Mylonas
Dr. Christos Makris
Dr. Andreas Kanavos
Dr. Spyros Sioutas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • humanistic data
  • behavior
  • state of mind
  • artistic creation
  • linguistic utterance
  • learning
  • genomic
  • data matching
  • data fusion
  • data mining
  • knowledge discovery
  • data management techniques

Published Papers

This special issue is now open for submission.
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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