Analysis and evaluation of outlier detection algorithms in data streams

M Shukla, YP Kosta, P Chauhan - … International Conference on …, 2015 - ieeexplore.ieee.org
Data mining is one of the most exciting fields of research for the researcher. As data is
getting digitized, systems are getting connected and integrated, scope of data generation …

A survey of outlier detection algorithms for data streams

J Tamboli, M Shukla - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
Data mining is characterized as the process of examining hidden patterns and outlining into
some useful information. It is an exciting field of research for researchers. Data streams are …

A review on outlier detection techniques on data stream by using different approaches of K-Means algorithm

P Chauhan, M Shukla - 2015 international conference on …, 2015 - ieeexplore.ieee.org
Data Stream mining has gained attraction from many researchers as there is need to mine
large dataset which pose different challenges for researchers. Stream data is different …

Outlier detection in streaming data a research perspective

N Chugh, M Chugh, A Agarwal - … International Conference on …, 2014 - ieeexplore.ieee.org
Data mining is a system that brings up the light to hidden and valuable information from the
data and the facts revealed by data mining which were previously not known, theoretically …

[PDF][PDF] A survey on outlier detection methods

SS Sreevidya - IJCSIT) International Journal of Computer Science and …, 2014 - Citeseer
Outlier detection is an active area for research in data set mining community. Finding outliers
from a collection of patterns is a very well-known problem in data mining. Outlier Detection …

[PDF][PDF] Survey on outlier detection in data stream

P Thakkar, J Vala, V Prajapati - Int. J. Comput. Appl, 2016 - Citeseer
Data mining provides a way for finding hidden and useful knowledge from the large amount
of data. usually we find any information by finding normal trends or distribution of data. But …

[PDF][PDF] Outlier detection techniques over streaming data in data mining: A research perspective

P Chandore, P Chatur - International Journal of Recent Technology and …, 2013 - Citeseer
Data mining is extensively studied field of research area; where most of the work is
emphasized over knowledge discovery. Data stream mining is active research area of data …

Detecting current outliers: Continuous outlier detection over time-series data streams

K Ishida, H Kitagawa - Database and Expert Systems Applications: 19th …, 2008 - Springer
The development of sensor devices and ubiquitous computing have increased time-series
data streams. With data streams, current data arrives continuously and must be monitored …

Efficient clustering-based outlier detection algorithm for dynamic data stream

M Elahi, K Li, W Nisar, X Lv… - 2008 Fifth International …, 2008 - ieeexplore.ieee.org
Anomaly detection is currently an important and active research problem in many fields and
involved in numerous applications. Most of the existing methods are based on distance …

Outlier detection in stream data by clustering method

H Moradi Koupaie, S Ibrahim… - International Journal of …, 2014 - papers.ssrn.com
The fundamental and active research problem in a lot of fields is outlier detection. It is
involved many applications. A lot of these methods based on distance measure. But for …