A Survey on Outlier Detection in A Sparse Coding Framework
R. Swathi
, R.Suresh Kumar
Outlier, Sparse coding, nearest neighbor
Outlier detection is a significant problem that has been researched within various research areas and application domains. Many outlier detection methods have been particularly examined for certain application domains, as others are more standard. In this survey paper describes an outlier detection technique for high dimensional data sets accurately reduce the data from a root mapping at batch re-computation. For each outlier behavior activities is to identify the key factors, which are used by the methods to differentiate between normal and abnormal actions. This survey paper provides a best and brief understanding of the techniques belonging to each anomaly and sparse coding framework category. Further, for each clustering, to identify the improvements and drawbacks of the techniques in that category. It also provides a discussion on the computational complexity of the techniques since it is an important issue in real application domains hope that this survey will provide a good understanding of the many directions in which research has been done on this topic.
"A Survey on Outlier Detection in A Sparse Coding Framework", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 9, page no.326 - 328, September-2016, Available :https://ijsdr.org/papers/IJSDR1609049.pdf
Volume 1
Issue 9,
September-2016
Pages : 326 - 328
Paper Reg. ID: IJSDR_160808
Published Paper Id: IJSDR1609049
Downloads: 000347071
Research Area: Engineering
Country: Unknown, Unknown, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
