{"_buckets": {"deposit": "f3285c57-fbb5-4d55-b6f9-c0f5f03ded44"}, "_deposit": {"created_by": 45, "id": "6267", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "6267"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/6267", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Multidimensional Analysis for Census Data by Applying Star Schema Model", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "In recent years, the high value of multidimensional data has been recognized in both the academic and business communities. Star schemas are the primary storage mechanism for multidimensional data that is to be queried efficiently. It supports relationships between fact and dimension tables and creating combination dimensions with a key, resulted to improve query performance for large quantities of data. This paper is presented for multidimensional data model, that is called star schema to store large amount of census data. This star schema can be used for business related queries on Census data for visualization report. This paper aims to enhance the interactive visualization process with more relevant operations for manipulation of various attributes by using the Pentaho Business Analytics (BA) Suite."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Agglomerative"}, {"interim": "census data"}, {"interim": "clustering"}, {"interim": "K-means"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-19"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Multidimensional Analysis for Census Data by Applying Star Schema Model.pdf", "filesize": [{"value": "1.4 Mb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensefree": "© 2017 ICAIT", "licensetype": "license_free", "mimetype": "application/pdf", "size": 1400000.0, "url": {"url": "https://meral.edu.mm/record/6267/files/Multidimensional Analysis for Census Data by Applying Star Schema Model.pdf"}, "version_id": "1b9633cc-bd43-485a-afaf-f8ee8f1839cc"}]}, "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": "Data Science", "subitem_website": "https://www.uit.edu.mm/icait-2017/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Myint Myint Thein"}, {"subitem_authors_fullname": "Myint Myint Lwin"}, {"subitem_authors_fullname": "Aye Chan Mon"}, {"subitem_authors_fullname": "May Thu Aung"}]}]}, "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": "Multidimensional Analysis for Census Data by Applying Star Schema Model", "item_type_id": "21", "owner": "45", "path": ["1605779935331"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006267", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-19"}, "publish_date": "2020-11-19", "publish_status": "0", "recid": "6267", "relation": {}, "relation_version_is_last": true, "title": ["Multidimensional Analysis for Census Data by Applying Star Schema Model"], "weko_shared_id": -1}