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[Apologies for cross-postings]
--------------------------- Call for Papers
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MHDW 2019
8th Mining Humanistic Data Workshop
May 24-26, 2019
Crete, Greece
http://conferences.cwa.gr/mhdw2019/
NEW: Selected papers from MHDW 2019 will be invited to be included
in the indexed Algorithms international journal Special Issue
"Mining Humanistic Data 2019" !
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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.
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.
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Aim and topics
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The single track 1-day 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.
Topics of interest include but are not limited to:
- 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 analytic
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Papers submission
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The paper submission deadline is *21/02/2019*. Further details
about the MHDW 2019 submission guidelines are available at the
MHDW 2019 website (
http://conferences.cwa.gr/mhdw2019/).
All papers presented at the workshop will be published within the
main AIAI 2019 Conference Proceedings Volume and thus will be
submitted to international indexing organizations for indexing.
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