Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Md Geaur Rahman"'
Publikováno v:
IEEE Access, Vol 12, Pp 133030-133044 (2024)
While an ever-growing number of vulnerabilities are reported every day, all the reported vulnerabilities are not all the same, as some are more targeted than others. Correctly estimating the likelihood of a vulnerability being exploited is a critical
Externí odkaz:
https://doaj.org/article/5cf05ba6f7c2499a99f8c00aa9eef148
Autor:
Md. Geaur Rahman, Zahidul Islam
Publikováno v:
Expert Systems with Applications. 45:410-423
A new discretization technique called LFD.Does not require any user input.Interval width, number and frequency are automatically determined; all data driven.Minimizes information loss due to discretization by choosing low frequency cut points.Categor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3945300a52964f3380e3314e024e505b
https://doi.org/10.1016/j.eswa.2015.10.005
https://doi.org/10.1016/j.eswa.2015.10.005
Autor:
Zahidul Islam, Md. Geaur Rahman
Publikováno v:
Knowledge and Information Systems. 46:389-422
Data preprocessing and cleansing play a vital role in data mining by ensuring good quality of data. Data-cleansing tasks include imputation of missing values, identification of outliers, and identification and correction of noisy data. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bfc1f432ab28b85e912d119fbf9a566
https://doi.org/10.1007/s10115-015-0822-y
https://doi.org/10.1007/s10115-015-0822-y
Autor:
Zahidul Islam, Md. Geaur Rahman
Publikováno v:
Knowledge-Based Systems. 56:311-327
Natural data sets often have missing values in them. An accurate missing value imputation is crucial to increase the usability of a data set for statistical analyses and data mining tasks. In this paper we present a novel missing value imputation tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eed5f93fde9bf2d1c661dbcb5616a4b9
https://doi.org/10.1016/j.knosys.2013.12.005
https://doi.org/10.1016/j.knosys.2013.12.005
Autor:
Zahidul Islam, Md. Geaur Rahman
Publikováno v:
Knowledge-Based Systems. 53:51-65
We present two novel techniques for the imputation of both categorical and numerical missing values. The techniques use decision trees and forests to identify horizontal segments of a data set where the records belonging to a segment have higher simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd891e6df820dbc6137de8cb514d0b48
https://doi.org/10.1016/j.knosys.2013.08.023
https://doi.org/10.1016/j.knosys.2013.08.023
Publikováno v:
IJCNN
Data pre-processing and cleansing play a vital role in data mining for ensuring good quality of data. Data cleansing tasks include imputation of missing values, and identification and correction of incorrect/noisy data. In this paper, we present a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5c29066459169c61330dd5a4dc8e49
https://doi.org/10.1109/ijcnn.2012.6252669
https://doi.org/10.1109/ijcnn.2012.6252669
Publikováno v:
Charles Sturt University
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0608c968bb2241e9b515a26e6bbd5696
https://researchoutput.csu.edu.au/en/publications/8bc3ded8-1ca3-458d-a6da-5f03a9121a4b
https://researchoutput.csu.edu.au/en/publications/8bc3ded8-1ca3-458d-a6da-5f03a9121a4b
Autor:
Md. Geaur Rahman, Zahid Islam
Publikováno v:
Charles Sturt University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2d5d49235ebcc6398addf41eb1ab9d1e
https://researchoutput.csu.edu.au/en/publications/b6106299-bed4-4255-b761-8b965009064f
https://researchoutput.csu.edu.au/en/publications/b6106299-bed4-4255-b761-8b965009064f