• Sherlin Suresh
• N. Aarthi
• S.Dhivya
• U.surya

The world has vast amounts of data that are stored and transferred from one location to a different. The information or data once transferred is exposed to attack. Though numerous techniques or applications are offered to shield the data, loopholes exist. Therefore to research data and have to work out numerous quite attack data mining techniques have emerged to make it less vulnerable. Anomaly detection uses these data techniques to detect the stunning behavior hidden within the data, increasing the probabilities of being intruded or attacked. Numerous hybrid approaches have additionally been created so as to sight noted and unknown attacks more accurately. This paper reviews numerous data mining techniques for anomaly detection to produce higher understanding among the present techniques which will facilitate interested researches to figure future in this direction.

"An Overview of Anomaly Detection Techniques in Rapid Miner", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.509-512, December-2018, Available :http://www.jetir.org/papers/JETIR1812764.pdf

"An Overview of Anomaly Detection Techniques in Rapid Miner", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp509-512, December-2018, Available at : http://www.jetir.org/papers/JETIR1812764.pdf