PROPOSING A NEW ALGORITHM TO DETECT LOCAL OUTLIERS IN DATA STREAM

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MAZIDI ARASH; SADREDDINI MOHAMMAD HADI; TAHAYORI HOMAN

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Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2016 | Volume:4 | Issue:4 Page(s): 31-42

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Title

PROPOSING A NEW ALGORITHM TO DETECT LOCAL OUTLIERS IN DATA STREAM

Author(s)

MAZIDI ARASH | SADREDDINI MOHAMMAD HADI | TAHAYORI HOMAN | Issue Writer Certificate

Keywords

OUTLIERSQ2

OUTLIERS DETECTIONQ2

DATA STREAMQ2

LOCAL OUTLIER FACTORQ2

Abstract

Data streams outlier mining is an important and active research issue in anomaly detection. OUTLIERS are large deviate from others data points. They are often not the errors, and may carry important information. Recently, many studies on outlier detection in the database are done. Many algorithms have been proposed to detect OUTLIERS, but most of them are effective on static data. As DATA STREAMs evolve during the time, traditional methods cannot perform well on them. These algorithms often can lead us to a wrong decision. The false positive rate of the algorithms will be high. In this paper, an algorithm is proposed to divide the streams to pieces evenly and compute LOCAL OUTLIER FACTOR for every data. The proposed algorithm uses a list as candidate list for the OUTLIERS. The proposed algorithm detects OUTLIERS and unusual patterns by postponing at outlier detection. The experimental results on synthetic and real datasets show that the proposed algorithm was successful in reducing false positive rate and increasing its accuracy.

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APA: Copy

MAZIDI, ARASH, SADREDDINI, MOHAMMAD HADI, & TAHAYORI, HOMAN. (2016). PROPOSING A NEW ALGORITHM TO DETECT LOCAL OUTLIERS IN DATA STREAM. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 4(4), 31-42. SID. https://sid.ir/paper/245874/en

Vancouver: Copy

MAZIDI ARASH, SADREDDINI MOHAMMAD HADI, TAHAYORI HOMAN. PROPOSING A NEW ALGORITHM TO DETECT LOCAL OUTLIERS IN DATA STREAM. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2016;4(4):31-42. Available from: https://sid.ir/paper/245874/en

IEEE: Copy

ARASH MAZIDI, MOHAMMAD HADI SADREDDINI, and HOMAN TAHAYORI, “PROPOSING A NEW ALGORITHM TO DETECT LOCAL OUTLIERS IN DATA STREAM,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 4, no. 4, pp. 31–42, 2016, [Online]. Available: https://sid.ir/paper/245874/en

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