IDBSCAN Algorithm Based Proficient Anomaly Detection

Climate change considers as a global issue with some unexpected impact on human being health. The teenager is a promising agent of change to elevate climate change knowledge of the community. However, teenager knowledge on climate change impact is inadequate. Accordingly, developing education media...

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Main Author: Bany Muhammad, Nooh (author)
Published: 2019
Online Access:https://dspace.auk.edu.kw/handle/11675/6641
http://www.ijstr.org/paper-references.php?ref=IJSTR-1019-23322
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author Bany Muhammad, Nooh
author_facet Bany Muhammad, Nooh
author_role author
dc.creator.none.fl_str_mv Bany Muhammad, Nooh
dc.date.none.fl_str_mv 2019-02-10
2021-01-18T07:22:48Z
2021-01-18T07:22:48Z
dc.identifier.none.fl_str_mv Bany Muhammad, N. (2019). IDBSCAN Algorithm Based Proficient Anomaly Detection, International Journal of Scientific & Technology Research, 8(10) Retrieved from http://www.ijstr.org/final-print/oct2019/Idbscan-Algorithm-Based-Proficient-Anomaly-Detection.pdf
https://dspace.auk.edu.kw/handle/11675/6641
http://www.ijstr.org/paper-references.php?ref=IJSTR-1019-23322
dc.publisher.none.fl_str_mv International Journal of Scientific & Technology Research
dc.relation.none.fl_str_mv International Journal of Scientific & Technology Research
dc.title.none.fl_str_mv IDBSCAN Algorithm Based Proficient Anomaly Detection
dc.type.none.fl_str_mv Journal Article
Peer-Reviewed
info:eu-repo/semantics/publishedVersion
description Climate change considers as a global issue with some unexpected impact on human being health. The teenager is a promising agent of change to elevate climate change knowledge of the community. However, teenager knowledge on climate change impact is inadequate. Accordingly, developing education media for a teenager is essential to increase climate change awareness. This research aimed to developed and tested media that is Website, Facebook and Instagram to increase teenager knowledge by following 4 out of 10 research and development steps: researching and collecting information, planning, developing of an initial product, preliminary field testing. Research and Development by recruiting Twelve teenagers aged 16-17 years old from 3 high schools in Yogyakarta City were involved in this trial. Instagram was found as promising media to spread climate change impact information to the teenager. Mass media can be used to educate teenage
id AUKR_9ae46ed2aaeec7f2ef2b8983e5979646
identifier_str_mv Bany Muhammad, N. (2019). IDBSCAN Algorithm Based Proficient Anomaly Detection, International Journal of Scientific & Technology Research, 8(10) Retrieved from http://www.ijstr.org/final-print/oct2019/Idbscan-Algorithm-Based-Proficient-Anomaly-Detection.pdf
network_acronym_str AUKR
network_name_str AU Kuwait Rep
oai_identifier_str oai:dspace.auk.edu.kw:11675/6641
publishDate 2019
publisher.none.fl_str_mv International Journal of Scientific & Technology Research
repository.mail.fl_str_mv
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spelling IDBSCAN Algorithm Based Proficient Anomaly DetectionBany Muhammad, NoohClimate change considers as a global issue with some unexpected impact on human being health. The teenager is a promising agent of change to elevate climate change knowledge of the community. However, teenager knowledge on climate change impact is inadequate. Accordingly, developing education media for a teenager is essential to increase climate change awareness. This research aimed to developed and tested media that is Website, Facebook and Instagram to increase teenager knowledge by following 4 out of 10 research and development steps: researching and collecting information, planning, developing of an initial product, preliminary field testing. Research and Development by recruiting Twelve teenagers aged 16-17 years old from 3 high schools in Yogyakarta City were involved in this trial. Instagram was found as promising media to spread climate change impact information to the teenager. Mass media can be used to educate teenageInternational Journal of Scientific & Technology Research2021-01-18T07:22:48Z2021-01-18T07:22:48Z2019-02-10Journal ArticlePeer-Reviewedinfo:eu-repo/semantics/publishedVersionBany Muhammad, N. (2019). IDBSCAN Algorithm Based Proficient Anomaly Detection, International Journal of Scientific & Technology Research, 8(10) Retrieved from http://www.ijstr.org/final-print/oct2019/Idbscan-Algorithm-Based-Proficient-Anomaly-Detection.pdfhttps://dspace.auk.edu.kw/handle/11675/6641http://www.ijstr.org/paper-references.php?ref=IJSTR-1019-23322International Journal of Scientific & Technology Researchoai:dspace.auk.edu.kw:11675/66412022-01-13T09:22:08Z
spellingShingle IDBSCAN Algorithm Based Proficient Anomaly Detection
Bany Muhammad, Nooh
status_str publishedVersion
title IDBSCAN Algorithm Based Proficient Anomaly Detection
title_full IDBSCAN Algorithm Based Proficient Anomaly Detection
title_fullStr IDBSCAN Algorithm Based Proficient Anomaly Detection
title_full_unstemmed IDBSCAN Algorithm Based Proficient Anomaly Detection
title_short IDBSCAN Algorithm Based Proficient Anomaly Detection
title_sort IDBSCAN Algorithm Based Proficient Anomaly Detection
url https://dspace.auk.edu.kw/handle/11675/6641
http://www.ijstr.org/paper-references.php?ref=IJSTR-1019-23322