Notice Board :

Call for Paper
Vol. 9 Issue 1

Submission Start Date:
January 1, 2023

Acceptence Notification Start:
January 20, 2023

Submission End:
January 26, 2023

Final ManuScript Due:
January 28, 2023

Publication Date:
January 31, 2023
                         Notice Board: Call for PaperVol. 9 Issue 1      Submission Start Date: January 1, 2023      Acceptence Notification Start: January 20, 2023      Submission End: January 26, 2023      Final ManuScript Due: January 28, 2023      Publication Date: January 31, 2023



Volume VI Issue XI

Author Name
Rani kushwah
Year Of Publication
2020
Volume and Issue
Volume 6 Issue 11
Abstract
The outlier detection plays an important role in data mining in order to collect the important information. An outlier may indicate bad data. There are number of methods use to find the outlier detection. Some time it seems to be that, it is difficult to find if an outlying point is bad data. Outliers may be due to random variation or may indicate something scientifically interesting in this paper there is a discussion of various methodology by which the outlier detection can be possible. In this paper proposed approach use evolutionary based similarity to computing likelihood values for each local data behavior in the feature space and applies Poisson distribution approach for probabilistic classification on probabilistic-based learning framework.
PaperID
IJETAS/November/2020/01

Author Name
Dheerendra Kumar Sen, Prof.Sujeet Kumar Singh
Year Of Publication
2020
Volume and Issue
Volume 6 Issue 11
Abstract
From the last few decades numbers of ways are tried by many researchers to beautify the fee of warmth switch with the usage of fins via way of means of various varieties of parameters. The parameters like fin spacing, fin geometries, temperature distribution, height, duration have been reviewed in this paper
PaperID
IJETAS/November/2020/04