{"_buckets": {"deposit": "ef4193f6-60be-42ab-aa44-9afa4dcbd5a1"}, "_deposit": {"created_by": 45, "id": "6388", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "6388"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/6388", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Parallel PAM Clustering Algorithm for Learning Analytics", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Learning Analytics (LA) is defined as an area of\nresearch and application and is related to academic\nanalytics, action analytics, and predictive analytics.\nThis paper focuses the handling huge amount of data for\nbetter analysis. The challenges facing LA are regarding\nthe need to increase the scope of data capture so that\nthe complexity of the learning process can be more\naccurately reflected in analysis. This paper focuses on\nhandling huge amount of data for better analysis.\nPartition Around Medoids (PAM) algorithm is one of\nthe partition clustering algorithms. It tackles the\nproblem in an iterative. However, it is not widely used\nfor large data because of its high computational\ncomplexity. Parallelization technique can solve this\nproblem. So, this paper proposed parallel PAM\nalgorithm which is implemented by using Spark\nframework. This paper showed that the partition\nalgorithm on Spark is slightly better than execution time\ntradition PAM algorithm."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Clustering"}, {"interim": "PAM"}, {"interim": "Spark"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-20"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Parallel PAM Clustering Algorithm for Learning Analytics.pdf", "filesize": [{"value": "529 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 529000.0, "url": {"url": "https://meral.edu.mm/record/6388/files/Parallel PAM Clustering Algorithm for Learning Analytics.pdf"}, "version_id": "51da9550-dcc3-4a1a-a40b-98b6994715ae"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICAIT-2017", "subitem_c_date": "1-2 November, 2017", "subitem_conference_title": "1st International Conference on Advanced Information Technologies", "subitem_place": "Yangon, Myanmar", "subitem_session": "Workshop Session", "subitem_website": "https://www.uit.edu.mm/icait-2017/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nway Yu Aung"}, {"subitem_authors_fullname": "Swe Zin Hlaing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-11-02"}, "item_title": "Parallel PAM Clustering Algorithm for Learning Analytics", "item_type_id": "21", "owner": "45", "path": ["1605779935331"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006388", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-20"}, "publish_date": "2020-11-20", "publish_status": "0", "recid": "6388", "relation": {}, "relation_version_is_last": true, "title": ["Parallel PAM Clustering Algorithm for Learning Analytics"], "weko_shared_id": -1}