Difference between revisions of "Event:KDWEB 2016"

From ConfIDent
(mobo import Concept___Event_For_Confident-migrated)
 
m (Text replacement - "([-])User:Curator 83" to "$1Ch")
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==Committees==
 
==Committees==
 
* Co-Organizers
 
* Co-Organizers
* General Co-User:Curator 83airs
+
* General Co-Chairs
 
** [[has general chair::Giuliano Armano]], University of Cagliari, Italy
 
** [[has general chair::Giuliano Armano]], University of Cagliari, Italy
 
** [[has general chair::Alessandro Bozzon]], Delft University of Technology, Netherlands
 
** [[has general chair::Alessandro Bozzon]], Delft University of Technology, Netherlands
  
* PC Co-User:Curator 83airs
+
* PC Co-Chairs
 
** [[has program chair::Matteo Cristani]], University of Verona, Italy
 
** [[has program chair::Matteo Cristani]], University of Verona, Italy
  
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** [[has tutorial chair::some person]], some affiliation, country
 
** [[has tutorial chair::some person]], some affiliation, country
  
* Demonstration Co-User:Curator 83airs
+
* Demonstration Co-Chairs
 
** [[has demo chair::some person]], some affiliation, country
 
** [[has demo chair::some person]], some affiliation, country
 
** [[has demo chair::some person]], some affiliation, country
 
** [[has demo chair::some person]], some affiliation, country
  
* Local Organizing Co-User:Curator 83airs
+
* Local Organizing Co-Chairs
 
** [[has local chair::some person]], some affiliation, country
 
** [[has local chair::some person]], some affiliation, country
  

Revision as of 11:41, 7 July 2022

KDWeb 2016 is aimed at providing a venue to researchers, scientists, students, and practitioners involved in the fields of Knowledge Discovery on Data Mining, Information Retrieval, and Semantic Web, for presenting and discussing novel and emerging ideas. KDWeb will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.

Topics

  • Big Data
  • Data Mining
  • Deep Learning
  • Feature Selection and Extraction
  • Hierarchical Categorization
  • Information Filtering and Retrieval
  • Linked Data
  • Machine Learning
  • Open Data
  • Recommender Systems
  • Semantic Web
  • Semantics and Ontology Engineering
  • Social Media
  • Taxonomy Building, Assessment, and Optimization
  • Text Categorization
  • Text Mining
  • Web Information Filtering and Retrieval
  • Web Mining
  • Web of Data
  • Web Personalization and Recommendation

Submissions

Important Dates

Committees


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