A Study of Decision Tree Induction for Data Stream Mining Using Boosting Genetic Programming Classifier

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/semcco/KumarMSP11,

• author = "Dirisala J. {Nagendra Kumar} and J. V. R. Murthy and Suresh Chandra Satapathy and S. V. V. S. R. Kumar Pullela",
• title = "A Study of Decision Tree Induction for Data Stream Mining Using Boosting Genetic Programming Classifier",
• booktitle = "Proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO 2011) Part {I}",
• year = "2011",
• editor = "Bijaya K. Panigrahi and Ponnuthurai Nagaratnam Suganthan and Swagatam Das and Suresh Chandra Satapathy",
• volume = "7076",
• series = "Lecture Notes in Computer Science",
• pages = "315--322",
• address = "Visakhapatnam, Andhra Pradesh, India",
• month = dec # " 19-21",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-27171-7",
• DOI = "doi:10.1007/978-3-642-27172-4_39",
• size = "8 pages",
• abstract = "Genetic Programming is an evolutionary soft computing approach. Data streams are the order of the day input mechanisms. Here is a study of GP Classifier on Data Streams. GP classification performance is compared to that of other state-of-the-art data mining and stream classification approaches. Boosting is a machine learning meta-algorithm for performing supervised learning. A weak learner is defined to be a classifier which is only slightly correlated with the true classification (it can label examples better than random guessing). In contrast, a strong learner is a classifier that is arbitrarily well-correlated with the true classification. Boosting combines a set of weak learners to create a strong learner. It is observed that the Boosting GP approach is beating Boosting Naive Bayes classification. Hence it is found that GP is a competent algorithm for Data Stream classification.",
• affiliation = "BVRICE, Bhimavaram, India",
• bibdate = "2011-12-14",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/semcco/semcco2011-1.html#KumarMSP11",

}

Genetic Programming entries for Dirisala J Nagendra Kumar J V R Murthy Suresh Chandra Satapathy S V V S R Kumar Pullela

Citations