Research team on Data & Web Mining

Latest News

  • Prof Vazirgiannis presents in the European Summer School in Information Retrieval (ESSIR) http://mklab.iti.gr/essir2015/ tutorial entitled "Graph-of-words: boosting text mining with graphs"

  • Παρουσίαση: Αρχειοθέτηση ιστοπεριεχομένου και διατήρηση ψηφιακής μνήμης: "η εμπειρία του ΟΠΑ"-Μ. Βαζιργιάννης, Επιστημονική Ημερίδα: Η συμβολή των οικονομικών βιβλιοθηκών στην έρευνα και στην ανάπτυξη, Τράπεζα της Ελλάδος, Παρασκευή 6 Μαρτίου 2015, Περισσότερα: εδώ.

  • "Μηχανή Αναζήτησης στο ενοποιημένο εκπαιδευτικό περιεχόμενο Α.Ε.Ι. - Τ.Ε.Ι & περιοδικά ΣΕΑΒ" - στο πλαίσιο της οριζόντιας δράσης Βιβλιοθηκών ΣΕΑΒ. http://83.212.204.91:8080/eClass/

  • Margarita Karkali defended successfully her PhD thesis “Efficient Novelty Detection in Document Streams” on 7/7/2014.


Useful Links

  • AUEB 
  • "Μηχανή Αναζήτησης στο ενοποιημένο εκπαιδευτικό περιεχόμενο Α.Ε.Ι. - Τ.Ε.Ι & περιοδικά ΣΕΑΒ" - στο πλαίσιο της οριζόντιας δράσης Βιβλιοθηκών ΣΕΑΒ. http://83.212.204.91:8080/eClass/

Demos & Prototype Systems

  1. Degeneracy based graph mining - Collaborative co-authorship communities in DBLP
    Relevant Papers:
    • C. Giatsidis, D. Thilikos, M. Vazirgiannis, "Evaluating cooperation in communities with the k-core structure", in the proceedings of the 2011 IEEE International Conference on Data Mining series (ICDM) , Canada.
    • C. Giatsidis, D. Thilikos, M. Vazirgiannis, "D-cores: Measuring Collaboration of Directed Graphs Based on Degeneracy", in the proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Taiwan.
    Prototype Link here.

  2. Web Archiving: the AUEB case
    Relevant paper:
    • Vassilis Plachouras, Chrysostomos Kapetis, Michalis Vazirgiannis, "Archiving the Web sites of Athens University of Economics and Business", in the 19th Greek Academic Libraries Conference.
    Prototype Link here.

  3. Greek Word2Vec (Greek Word Embeddings)
  4. The Word2vec algorithm, based on the Skip-Gram model published in 2013, had a great impact on the field of natural language processing, since it enabled the effective learning of word representations by making use of contextual information. Using the largest collection of Greek text (Greek Web), we trained the Greek language model with Word2vec. Based on the produced model, several word similarity and analogy tasks can be performed that reveal the learning of semantic and syntactic properties of Greek words.
    • Relevant reference to press.
    • Prototype Link here.