An evolutional approach for record deduplication and improving accuracy level in large repositories

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Revathy:2014:ICICES,
  author =       "A. Revathy and R. Suresh",
  booktitle =    "International Conference on Information Communication
                 and Embedded Systems (ICICES 2014)",
  title =        "An evolutional approach for record deduplication and
                 improving accuracy level in large repositories",
  year =         "2014",
  month =        feb,
  abstract =     "This paper deals how genetic programming can be used
                 for record de-duplication. Many systems rely on the
                 data integrity for offering high quality services that
                 may be affected by the existence of near-replicas,
                 quasi-replicas, or replicas entries in their
                 repositories. So, there has been a huge effort from
                 private and public organisations for developing
                 effective methods for removing duplicates from large
                 data repositories. It is because of clear,
                 duplicate-free repositories not only allow the
                 retrieval of higher-quality data but also lead to a
                 more concise data representation and for efficient
                 savings in execution time and resources to proceed the
                 data. In this paper, we improve the results of a
                 GP-based approach for record de-duplication by doing a
                 comprehensive set of experiments regarding its
                 parametrisation setup. Our experiments show that some
                 parameter like efficiency, accuracy can improve the
                 results to up 30percent. Thus, the obtained results can
                 be used as preventive way for suggesting the best way
                 to set up our GP-based approach parameters to record
                 de-duplication.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICICES.2014.7033864",
  notes =        "Dept. of Comput. Sci. & Eng., Sri Manakula Vinayagar
                 Eng. Coll., Puducherry, India

                 Also known as \cite{7033864}",
}

Genetic Programming entries for A Revathy R Suresh

Citations