@inproceedings{c2ab8175359f4e1dbdb5fa941ef3c1f7,
title = "Testing of algorithms for anomaly detection in Big data using apache spark",
keywords = "Bayes methods, Big Data, data analysis, decision trees, learning (artificial intelligence), parallel processing, pattern classification, pattern clustering, regression analysis, security of data, support vector machines, Decision trees, Kddcup99 dataset, Kmeans, Na{\"i}ve bayes, Random forest, Support vector machine, anomaly detection, apache spark, big data security analysis, big data security analytics, big data tool, logistic regression, machine learning algorithms, Classification algorithms, Prediction algorithms, Predictive models, Sparks, Tools, Training, Big data, Machine learning, Security analytics",
author = "Lighari, {S. N.} and Hussain, {D. M. A.}",
year = "2017",
month = sep,
day = "1",
doi = "10.1109/CICN.2017.8319364",
language = "English",
series = "International Conference on Computational Intelligence and Communication Networks (CICN)",
publisher = "IEEE",
pages = "97--100",
booktitle = "2017 9th International Conference on Computational Intelligence and Communication Networks (CICN)",
address = "United States",
note = "IEEE 9th International Conference on Computational Intelligence and Communication Networks (CICN 2017) ; Conference date: 16-09-2017 Through 17-09-2017",
}