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Ç¥ÁعøÈ£ | TTAK.KO-10.1339 | ±¸Ç¥ÁعøÈ£ | |
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Á¦°³Á¤ÀÏ | 2021-12-08 | ÃÑÆäÀÌÁö | 26 |
ÇѱÛÇ¥Áظí | ÁöµµÇнÀÀ» À§ÇÑ µ¥ÀÌÅÍ Ç°Áú °ü¸® ¿ä±¸»çÇ× | ||
¿µ¹®Ç¥Áظí | Requirements for Data Quality Management of Supervised Learning | ||
Çѱ۳»¿ë¿ä¾à | ÁöµµÇнÀ °è¿ÀÇ ÀΰøÁö´É ±â¼ú¿¡ È°¿ëµÇ´Â µ¥ÀÌÅÍ°¡ »ç¿ëÀÚ¿¡°Ô Á¦°øµÇ´Â °úÁ¤À» ¼³°è, ȹµæ, Á¤Á¦, ¶óº§¸µ °úÁ¤ÀÇ 4°¡Áö·Î Á¤ÀÇÇÑ´Ù. ±×¸®°í ÁöµµÇнÀ¿¡ È°¿ëµÇ´Â µ¥ÀÌÅÍ°¡ °®Ãç¾ß ÇÒ Ç°Áú °ü¸® ¿ä¼Ò¸¦ Á¤ÀÇÇÑ´Ù. ÀÌ¿¡ µû¶ó µ¥ÀÌÅÍ Á¦°ø °úÁ¤º°·Î Ç°Áú °ü¸® ¿ä¼Ò¸¦ ±â¹ÝÀ¸·Î ¿ä±¸µÇ´Â È°µ¿°ú »êÃâ¹°À» ¿ä±¸»çÇ×À¸·Î Á¦½ÃÇÑ´Ù. | ||
¿µ¹®³»¿ë¿ä¾à | The standard defines the process of providing data for supervised learning as four stages: design, acquisition, refinement, labelling. And also defines the elements of data quality management. Based on the process and the elements, we specify required activities and outputs as requirements for data quality management | ||
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