Mining Humanistic Data Workshop 2019

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Location: Crete, Greece
Begin: May 24, 2019
End: May 26, 2019
Keywords: social media, big data, deep learning, human centric data
Submission Deadline: February 18, 2019
Abstract submission deadline: February 11, 2019
Abbreviation: MHDW 2019


The Mining Humanistic Data Workshop (MHDW) aims to bring together interdisciplinary approaches that focus on the application of innovative as well as existing artificial intelligence, data matching, fusion and mining and knowledge discovery and management techniques to data derived from all areas of Humanistic Sciences.


The 2019 edition of MHDW will be the 8th following the successful previous workshops that took place under the auspices of EANN and AIAI conferences.


Extended versions of selected papers from the workshop will be peer reviewed for potential publication in a set of special issues of high-impact journals.



Submission Guidelines


All papers must be original and not simultaneously submitted to another journal or conference.


Accepted papers will be presented orally in the AIAI 2018 conference and will be published in a proceedings volume organised by the main ΑΙΑΙ 2019 event by Springer in the IFIP "Advances in Information and Communication Technology" series.





Registration fees and benefits for the workshop’s participants are exactly identical with the ones of the main ΑΙΑΙ 2019 event.





List of Topics


Topics of interest include but are by no means limited to the following:



  • Humanistic data collection and interpretation

  • Data pre-processing

  • Feature selection methodologies

  • Supervised or unsupervised learning of humanistic knowledge

  • Clustering/Classification techniques

  • Fuzzy modeling

  • Heterogeneous data fusion

  • Knowledge representation and reasoning

  • Linguistic data mining

  • Educational data mining

  • Music information retrieval

  • Data-driven profiling/ personalization

  • User modeling

  • Behavior prediction

  • Recommender systems

  • Web sentiment analysis

  • Social data mining

  • Data visualization techniques

  • Integration of data mining results into real-world applications with humanistic context

  • Ontologies, ontology matching and alignment

  • Mining humanistic data in the cloud

  • Game data mining

  • Virtual-world data mining

  • Speech and audio data processing

  • Data mining techniques for knowledge discovery

  • Biomedical data mining

  • Bioinformatics

  • Content creation, annotation and modeling for semantic and social web

  • Computational intelligence for media adaptation and personalization

  • Semantics-driven indexing and retrieval of multimedia contents

  • Semantic context modeling and extraction

  • Context-aware applications

  • Social web economics and business

  • Privacy/security issues in social and personalized applications

  • Privacy preserving data mining and social networks

  • Social data analytics


Committees


Program Chairs





Steering Committee





Contact


All questions about submissions should be emailed to Andreas Kanavos (kanavos@ceid.upatras.gr) or to Ioannis Karydis (karydis@ionio.gr)

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