MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "80783a9b-0b95-43f4-b94e-c7e6e7d9238e"}, "_deposit": {"id": "4580", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4580"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4580", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Real-time Big Data Analytics for Feature Selection on Apache Spark", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Real-time data analysis is a key research in many domains. It can be applied to pre-existing orprescriptive models. The effective result is that monitor the account and review on a real-time action. Apachespark machine learning library Mllib can be distinct display place for real-time assessment foe extracting,transforming and selecting features and classification, clustering and frequent pattern mining. Featureselection is the detection in a group of feature what are the most relevant and removing the redundant data.Specifically, we made using the Apache spark tool and analyze the streaming time-series data using Mllib toextract the high qualitative feature in efficiently to get qualitative and high performance model."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "feature selection"}, {"interim": "apache spark"}, {"interim": "filter method"}, {"interim": "real-time data"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-03-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "LwinMayThant.pdf", "filesize": [{"value": "178 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 178000.0, "url": {"url": "https://meral.edu.mm/record/4580/files/LwinMayThant.pdf"}, "version_id": "822e3257-bcbb-4cb6-9ee5-f30f1389703b"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thant, Lwin May"}, {"subitem_authors_fullname": "Phyu, Sabai"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2020-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "ISBN 978-981-14-4787-7"}, "item_title": "Real-time Big Data Analytics for Feature Selection on Apache Spark", "item_type_id": "21", "owner": "1", "path": ["1597824175385"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004580", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-13"}, "publish_date": "2020-03-13", "publish_status": "0", "recid": "4580", "relation": {}, "relation_version_is_last": true, "title": ["Real-time Big Data Analytics for Feature Selection on Apache Spark"], "weko_shared_id": -1}
Real-time Big Data Analytics for Feature Selection on Apache Spark
http://hdl.handle.net/20.500.12678/0000004580
http://hdl.handle.net/20.500.12678/000000458057097ecb-7e05-4f25-b9c6-2b12d3182e02
80783a9b-0b95-43f4-b94e-c7e6e7d9238e
Name / File | License | Actions |
---|---|---|
LwinMayThant.pdf (178 Kb)
|
|
Publication type | ||||||
---|---|---|---|---|---|---|
Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Real-time Big Data Analytics for Feature Selection on Apache Spark | |||||
Language | en | |||||
Publication date | 2020-02-28 | |||||
Authors | ||||||
Thant, Lwin May | ||||||
Phyu, Sabai | ||||||
Description | ||||||
Real-time data analysis is a key research in many domains. It can be applied to pre-existing orprescriptive models. The effective result is that monitor the account and review on a real-time action. Apachespark machine learning library Mllib can be distinct display place for real-time assessment foe extracting,transforming and selecting features and classification, clustering and frequent pattern mining. Featureselection is the detection in a group of feature what are the most relevant and removing the redundant data.Specifically, we made using the Apache spark tool and analyze the streaming time-series data using Mllib toextract the high qualitative feature in efficiently to get qualitative and high performance model. | ||||||
Keywords | ||||||
feature selection, apache spark, filter method, real-time data | ||||||
Identifier | ISBN 978-981-14-4787-7 | |||||
Journal articles | ||||||
Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |