Recent advances in mining patterns from complex data

  • Annalisa Appice
  • Michelangelo Ceci
  • Corrado Loglisci
  • Giuseppe Manco
  • Elio Masciari
Article

Keywords

Data mining Complex data Complex pattern discovery 

References

  1. Diamantini, C., Genga, L., & Potena, D. (2016). Behavioral process mining for unstructured processes. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0394-7.
  2. Ferilli, S. (2016). Predicate invention-based specialization in inductive logic programming. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0412-9.
  3. Madjarov, G., Gjorgjevikj, D., Dimitrovski, I., & Dzeroski, S. (2016). The use of data-derived label hierarchies in multi-label classification. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0405-8.
  4. Minervini, P., d’Amato, C., & Fanizzi, N. (2016). Efficient energy-based embedding models for link prediction in knowledge graphs. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0414-7.
  5. Saia, R., Boratto, L., & Carta, S. (2016). A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0406-7.
  6. Samet, A., Lefevre, E., & Yahia, S.B. (2016). Evidential data mining: Precise support and confidence. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0396-5.
  7. Sen, E., Toroslu, I.H., & Karagoz, P. (2016). Improving the prediction of page access by using semantically enhanced clustering. J. Intell. Inf. Syst. doi:10.1007/s10844-016-0398-3.

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Annalisa Appice
    • 1
  • Michelangelo Ceci
    • 1
  • Corrado Loglisci
    • 1
  • Giuseppe Manco
    • 2
  • Elio Masciari
    • 2
  1. 1.Dipartimento di InformaticaUniversità degli Studi di Bari “Aldo Moro”BariItaly
  2. 2.ICAR-Consiglio Nazionale delle RicercheRendeItaly

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