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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Survey on Outlier Detection in A Sparse Coding Framework |
| Authors Name: | R. Swathi , R.Suresh Kumar |
| Unique Id: | IJSDR1609049 |
| Published In: | Volume 1 Issue 9, September-2016 |
| Abstract: | 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. |
| Keywords: | Outlier, Sparse coding, nearest neighbor |
| Cite Article: | "A Survey on Outlier Detection in A Sparse Coding Framework", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 9, page no.326 - 328, September-2016, Available :http://www.ijsdr.org/papers/IJSDR1609049.pdf |
| Downloads: | 000337211 |
| Publication Details: | Published Paper ID: IJSDR1609049 Registration ID:160808 Published In: Volume 1 Issue 9, September-2016 DOI (Digital Object Identifier): Page No: 326 - 328 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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