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¿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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