@inproceedings{40367586586c43259813fae0bb472948,
title = "Efficient classification of binary data stream with concept drifting using conjunction rule based Boolean classifier",
abstract = "We propose a conjunction rule based classification technique that has good classification performance, is simple, automatically identifies important attributes, and is extremely fast. Due to these properties the classifier is most suitable for “big”/streaming data. Empirical study, using multiple datasets, shows that time complexity, compared with other classifiers, is faster by several factors, especially for large number of attributes without sacrificing performance.",
keywords = "Boolean classifier, Concept Drifting, Conjunction rule, Data stream",
author = "Yiou Xiao and Mehrotra, {Kishan G.} and Mohan, {Chilukuri K.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 ; Conference date: 10-06-2015 Through 12-06-2015",
year = "2015",
doi = "10.1007/978-3-319-19066-2_44",
language = "English (US)",
isbn = "9783319190655",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "457--467",
editor = "Chang-Hwan Lee and Yongdai Kim and Kwon, {Young Sig} and Juntae Kim and Moonis Ali",
booktitle = "Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings",
}