-------- Weitergeleitete Nachricht -------- Betreff: [WI] Call for Papers: MHDW 2017 with journal special issue Datum: Wed, 22 Feb 2017 17:39:54 +0200 Von: mhdw@image.ntua.gr Antwort an: mhdw@image.ntua.gr
[Apologies for cross-postings]
--------------------------- Call for Papers ---------------------------
MHDW 2017 6th Mining Humanistic Data Workshop August 25-27, 2017 Athens, Greece https://conferences.cwa.gr/mhdw2017/
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Given the advance of digital content created, consumed or manipulated by a constantly increasing amount of people worldwide, the field of digital humanities emerged as a new trending research area over the recent years. In this framework, humanistic data interpretation and management lead to the need for the building of a related research community. In this manner the organization of the 5th consecutive Mining Humanistic Data Workshop comes to establish the aforementioned research foundations towards efficient processing and analyzing of data. Being a digital multimedia world, the aim is rather twofold: on the one hand, to extract meaningful information and knowledge that will help us understand human behavior, creativity, reasoning, learning, decision making, socializing and even biological processes; on the other hand, to exploit the extracted knowledge from raw data by incorporating it into intelligent systems that will support humans in their everyday activities.
Over the years it is commonly accepted by researchers that 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 capable of dealing with this kind of data need to be implemented, whereas existing ones should be creatively adapted to the special characteristics identified.
The 5th Mining Humanistic Data Workshop aims to bring together interdisciplinary approaches that focus on the application of innovative, as well as existing, data matching, fusion and mining, knowledge discovery and management, techniques, like for instance decision rules and trees, association rules, ontologies and alignments, clustering, filtering, supervised or unsupervised learning, classifier systems, neural networks, support vector machines, pre- or post-processing, feature selection, visualization techniques, et al.. To illustrate human-centered application functionalities, data management approached derived from all fields of humanistic sciences, like linguistic, historical, behavioral, psychological, artistic, musical, educational, social or other types of data, will be also welcomed in the framework of this community. Research efforts that typically collect large volumes of usually heterogeneous data, like ubiquitous computing applications (aka pervasive or mobile ! computing, ambient intelligence, etc.) or big data mining methodologies are also encouraged in the sense of content adaptation, learning and overall context awareness. Last, but not least an important aspect of related human-centered research efforts in informatics deals also with the managing, processing and computationally analyzing of biological and biomedical data within the broader scope of bioinformatics. Hence, one of the aims of this workshop will be to also attract researchers interested in designing, developing and applying efficient data mining techniques for discovering the underlying knowledge inherent in such data, such as sequences, gene expressions and pathways.
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The single track 1-day workshop aims to provide a platform for exchanging fresh ideas and expertise, and for obtaining feedback on ongoing research. Thus, MHDW 2017 covers different issues of humanistic data management technologies and social semantic technologies in their use for content creation, media adaptation and filtering, as well as user or application profiling.
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
----------------- Papers submission ----------------- The paper submission deadline is *27/04/2017*. Details about the MHDW 2017 submission guidelines are available on the MHDW 2017 website (https://conferences.cwa.gr/mhdw2017/).
All papers presented at the workshop will be published within the main EANN 2017 Conference Proceedings Volume and thus will be submitted to international indexing organizations for indexing.
As with previous MHDW workshops, plans are in place to have extended versions of selected papers appear in an international journal Special Issue to be announced.
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