An evolutionary approach to constructive induction for link discovery

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@InProceedings{DBLP:conf/gecco/WeningerHXA09,
  author =       "Tim Weninger and William H. Hsu and Jing Xia and 
                 Waleed Aljandal",
  title =        "An evolutionary approach to constructive induction for
                 link discovery",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "1941--1942",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming, Poster",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1569901.1570248",
  abstract =     "This paper presents a genetic programming-based
                 symbolic regression approach to the construction of
                 relational features in link analysis applications.
                 Specifically, we consider the problems of predicting,
                 classifying and annotating friends relations in friends
                 networks, based upon features constructed from network
                 structure and user profile data. We explain how the
                 problem of classifying a user pair in a social network,
                 as directly connected or not, poses the problem of
                 selecting and constructing relevant features. We use
                 genetic programming to construct features, represented
                 by multiple symbol trees with base features as their
                 leaves. In this manner, the genetic program selects and
                 constructs features that may not have been originally
                 considered, but possess better predictive properties
                 than the base features. Finally, we present
                 classification results and compare these results with
                 those of the control and similar approaches.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Tim Weninger William H Hsu Jing Xia Waleed Aljandal

Citations