استفاده از نوآوری های یادگیری در محاسبات شناختی با مجموعه داده های عظیم: استفاده از مدارک پاناما در دریای شمال برای کشف الگوها
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|140890||2017||34 صفحه PDF||سفارش دهید|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Computers in Human Behavior, Available online 28 December 2017
Exposing learners to cognitive computing concepts involves new learning strategies. Because cognitive computing is probabilistic, using massive sets of data is fundamental in understanding these concepts. One data set is the release of the Offshore Panama Papers Leaks Database (LeaksDB) in May 2016, in which researchers were able to access this graph database as part of the International Consortium of Investigative Journalists (ICIJ) Offshore Leaks investigation and to draw conclusions about companies, trusts, foundations, and funds incorporated in 21 tax havens. For the purpose of this research, GraphDB Server was installed and configured by faculty members from a mid-western university. In addition, DBPedia and GeoNames repositories were linked to LeaksDB, leading to the discovery of interesting patterns about these Geo facade relationships between Officers (persons or companies) and Countries.