Goto Year: 201420132012201120102009200620052001

    2014

    1. Symeonidis P., Perentis C.: Link Prediction in Multi-modal Social Networks, Proceedings of the European Conference on Machine Learning & Principles / Practice of Knowledge Discovery in Databases (ECML/PKDD’2014), pp. 147-162, Nancy, France, 2014 (BIB)

    2013

    1. Symeonidis P., Iakovidou N., Mantas N., Manolopoulos Y.: From Biological to Social Networks: Link Prediction Based on Multi-way Spectral Clustering, Data & Knowledge Engineering, Vol.87, pp. 226-242, 2013 (BIB)
    2. Symeonidis P., Mantas N.: Spectral Clustering for Link Prediction in Social Networks with Positive and Negative Links, Social Network Analysis & Mining, Vol.3, N.4, pp. 1433-1447, 2013 (BIB)
    3. Symeonidis P., Tiakas E., Manolopoulos Y.: A Unified Framework for Link and Rating Prediction in Multi-modal Social Networks, International Journal of Social Networks Mining, Vol.1, N.3/4, 2013 (BIB)

    2012

    1. Papadimitriou A., Symeonidis P., Manolopoulos Y.: Fast and Accurate Link Prediction in Social Networking Systems, Journal of Systems & Software, Vol.85, N.9, pp. 2119-2132, 2012 (BIB)
    2. Papadimitriou A., Symeonidis P., Manolopoulos Y.: Scalable Link Prediction in Social Networks based on Local Graph Characteristics, Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG’2012), pp. 738-743, Las Vegas, NV, 2012 (BIB)

    2011

    1. Doulaverakis C., Paradogiorgaki M., Mezaris V., Mpilis A., Parissi E., Gounaris A., Kompatsiaris I.: IVUS Image Processing and Semantic Analysis for Cardiovascular Diseases Risk Prediction, International Journal of Biomedical Engineering & Technology – Special Issue on Decision Support Systems, Vol.3, N.3-4, pp. 349-374, 2011 (BIB)
    2. Symeonidis P., Tiakas E., Manolopoulos Y.: Product Recommendation and Rating Prediction based on Multi-modal Social Networks, Proceedings of the 5th International Conference on Recommender Systems (RecSys’2011), pp. 61-68, Chicago, IL, 2011 (BIB)

    2010

    1. Iakovidou N., Symeonidis P., Manolopoulos Y.: Multiway Spectral Clustering Link Prediction in Protein-Protein Interaction Networks, Proceedings of the 10th IEEE International Conference on Information Technology & Applications in Biomedicine (ITAB’2010), Corfu, Greece, 2010 (BIB)
    2. Symeonidis P., Tiakas E., Manolopoulos Y.: Transitive Node similarity for Link Prediction in Social Networks with Positive and Negative Links, Proceedings of the 4th International Conference on Recommender Systems (RecSys’2010), pp. 183-190, Barcelona, Spain, 2010 (BIB)

    2009

    1. Katsaros D., Manolopoulos Y.: Prediction in Wireless Networks by Markov Chains, IEEE Wireless Communications, Vol.16, N.2, pp. 2-9, 2009 (BIB)

    2006

    1. Katsaros D.: Information-theoretic Methods for Prediction in the Wireless and Wired Web, (eds.: Vakali A., Pallis G.), Web Data Management Practices: Emerging Techniques & Technologies, IDEA Group, , pp. 160-178, 2006 (BIB)

    2005

    1. Katsaros D., Manolopoulos Y.: A Suffix Tree Based Prediction Scheme for Pervasive Computing Environments, Proceedings of the 10th Panhellenic Conference in Informatics (PCI’2005), pp. 267-277, Volos, Greece, 2005 (BIB)
    2. Yavas, G., Katsaros, D., Ulusoy, O., Manolopoulos, Y.: A Data Mining Approach for Location Prediction in Mobile Environments, Data & Knowledge Engineering, Vol.54, N.2, pp. 121-146, 2005 (BIB)

    2001

    1. Nanopoulos A., Katsaros D., Manolopoulos Y.: Effective Prediction of Web-user Accesses: a Data Mining Approach, Proceedings Conference on Mining Log Data Across All Customer Touchpoints (WebKDD’2001), San Francisco, CA, 2001 (BIB)


    The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders (e.g., IEEE, ACM, Elsevier, Springer, Kluwer, IDEA Group, VLDB Endow.), notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.

    For any comment, send e-mail to: Webadmin

    Last modified: Sunday, October 08th, 2017, 21:06:21