2nd Mining Humanistic Data Workshop

**2nd Call for papers**

Paper submission: April 29, 2013

Notification of paper acceptance: May 26, 2013

Camera-ready submission: June 4, 2013

Early registration: June 05, 2013

Workshop dates: September 14, 2013

VENUE: Athina Pallas Village 5 star (4 seasons) Hotel and Conference Center, Neos Marmaras, Halkidiki GREECE http://www.athena-pallas.gr/

Conference web Site: http://www.mhdw.org/2013/

Special Issues:
Extended versions of selected papers from the workshop will be peer reviewed for potential publication in the International Journal of Data Warehousing and Mining (IJDWM) journal http://www.igi-global.com/journal/international-journal-data-warehousing-mining/1085

Workshop Aim
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 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 and even biological processes; 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, 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 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 data matching, fusion and 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, 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., Ubiquitous Computing and Bioinformatics.

Ubiquitous Computing applications (aka Pervasive Computing, Mobile Computing, Ambient Intelligence, etc.) collect large volumes of usually heterogeneous data in order to effect adaptation, learning and in general context awareness. Data matching, fusion and mining techniques are necessary to ensure human centred application functionality.

An important aspect of humanistics centers around managing, processing and computationally analyzing Biological and Biomedical data. Hence, one of the aims of this workshop will be 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.

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
*Fuzzy modeling
*Heterogeneous data fusion
*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
*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
*Protein structure prediction

Submission
All papers should be submitted through easychair (https://www.easychair.org/conferences/?conf=mhdw2013). Papers should be submitted either in a doc or in a pdf form and they will be peer reviewed by at least 2 academic referees. Papers should not exceed 10 pages. Contributing authors must follow the Springer Lecture Notes in Computer Science (LNCS) instructions for authors (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

Publication
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 EANN 2013 event (http://delab.csd.auth.gr/eann2013/index.php).