A Study of Decision Tree Induction for Data Stream Mining Using Boosting Genetic Programming Classifier
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @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