1st Mining Humanistic Data Workshop (MHDW 2012)

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Special Issue:
Extended versions of selected papers from the workshop will be peer reviewed for potential publication in the International Journal on Artificial Intelligence Tools (IJAIT) journal.

Important Dates:
Paper submission: April 29, 2012 May 15, 2012
Notification of paper acceptance: May 26, 2012 June 18th, 2012
Camera-ready submission: June 4, 2012 June 25th, 2012
Early registration: June 04, 2012 June 25th, 2012
Workshop dates: September 28, 2012

Program Chairs
Spyros Sioutas
Department of Informatics, Ionian University, Greece

Katia Lida Kermanidis
Department of Informatics, Ionian University, Greece

Ioannis Karydis
Department of Informatics, Ionian University, Greece

Workshop Program Committee

  • Thanos Alexiou, Ionian University, Greece
  • Konstantinos Chorianopoulos, Ionian University, Greece
  • Nikos Fakotakis, University of Patras, Greece
  • Kallirroi Georgila, University of Southern California, USA
  • Dimitrios Gunopulos, National and Kapodistrian University of Athens, Greece
  • Ioannis Hatzilygeroudis, University of Patras, Greece
  • Valia Kordoni, Saarland University & DFKI, Germany
  • Manolis Koubarakis, National and Kapodistrian University of Athens, Greece
  • Christos Makris, University of Patras, Greece
  • Manolis Maragkoudakis, University of the Aegean, Greece
  • Phivos Mylonas, National Technical University of Athens, Greece
  • Apostolos N. Papadopoulos, Aristotle University of Thessaloniki, Greece
  • Nikos Pelekis, University of Piraeus, Greece
  • Elias Pimenidis, University of East London, UK
  • Maria Psiha, Ionian University, Greece
  • Timos Sellis, Research Center "Athena" and NTUA, Greece
  • Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece
  • Giannis Tzimas, Computer Technology Institute, Greece
  • Vassilios Verykios, University of Thessaly, Greece
  • Panayiotis Vlamos, Ionian University, Greece

Workshop Aim: The abundance of available data that is retrieved from or is related to the areas of Humanities challenges the research community in processing and analyzing it. The aim is two-fold: on the one hand, to extract knowledge that will help understand human behavior, creativity, way of thinking, reasoning, learning, decision making, socializing; on the other hand, to exploit the extracted knowledge by incorporating it into intelligent systems that will support humans in their everyday activities.

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

The workshop aims to bring together interdisciplinary approaches that focus on the application of innovative as well as existing mining and knowledge discovery techniques (like decision rules, decision trees, association rules, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of Humanistic Sciences, e.g. linguistic, historical, behavioral, psychological, artistic, musical, educational, social etc.

Workshop Topics: The workshop topics include but are not limited to:

  • Humanistic Data Collection and Interpretation
  • Data pre-processing
  • Feature Selection
  • Supervised learning of humanistic knowledge
  • Clustering
  • Knowledge Representation and Reasoning
  • Linguistic Data Mining
  • Historical Research
  • Educational Data Mining
  • Music Information Retrieval
  • Data-driven Profiling/ Personalization
  • User Modeling
  • Behavior Prediction
  • Recommender Systems
  • Web Sentiment Analysis
  • Social Data Mining
  • Visualization techniques
  • Integration of data mining results into real-world applications with humanistic context
  • Mining Humanistic Data in the Cloud
  • Game Data Mining
  • Virtual-World Data Mining
  • Speech and Audio Data Processing

All papers should be submitted to the Program Chair: Spyros Sioutas. Papers should be submitted either in a doc or in a pdf form and they should be peer reviewed by at least 2 academic referees. Papers should not exceed 10 pages formatted according to the LNCS Springer style.

Accepted papers will be presented orally in the conference for 20 minutes and they will be published in the Proceedings of the main event.

Registration fees and benefits for the workshops' participants are exactly identical with the ones of the main AIAI 2012 event.