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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Áö½ÃÀû ºÐ¼® ±â¹Ý ¿ª·® °­È­ ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title) Research Capability Enhancement System Based on Prescriptive Analytics
ÀúÀÚ(Author) ±èÀå¿ø   Á¤ÇѹΠ  Á¤µµÇå   ¼Û»ç±¤   Ȳ¸í±Ç   Jangwon Gim   Hanmin Jung   Do-Heon Jeong   Sa-Kwang Song   Myunggwon Hwang  
¿ø¹®¼ö·Ïó(Citation) VOL 21 NO. 01 PP. 0046 ~ 0051 (2015. 01)
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(Korean Abstract)
Æø¹ßÀûÀ¸·Î Áõ°¡ÇÏ´Â µ¥ÀÌÅÍ¿Í ±Þº¯ÇÏ´Â ±â¼úÀû ¹ßÀüÀº °ú°Å¿Í ÇöÀ縦 ³Ñ¾î ¹Ì·¡¸¦ ¿¹°ßÇÏ°í ´ëÀÀÇÒ ¼ö ÀÖ´Â »õ·Î¿î ºÐ¼® Æз¯´ÙÀÓÀ» ¿ä±¸ÇÑ´Ù. Áö½ÃÀû ºÐ¼®Àº ¸ñÇ¥¸¦ ¼³Á¤ÇÏ°í À̸¦ ´Þ¼ºÇϱâ Àü·«À» ¼ö¸³ÇÔÀ¸·Î½á ºÐ¼® °á°úÀÇ Á¦½Ã¿¡ ±×Ä¡´Â °Ô ¾Æ´Ï¶ó »ç¿ëÀÚ¿¡°Ô ¸ñÇ¥ ´Þ¼ºÀ» À§ÇÑ ±¸Ã¼Àû Çൿ°ú ±× °á°ú¸¦ ¿ä±¸ÇÑ´Ù´Â Á¡¿¡¼­ ±âÁ¸ÀÇ ±â¼úÀû ºÐ¼®, ¿¹ÃøÀû ºÐ¼®°ú ±Ùº»ÀûÀÎ Â÷ÀÌÁ¡À» º¸¿©ÁØ´Ù. ±×·¸Áö¸¸, ¾ÆÁ÷±îÁö ±¸Ã¼ÀûÀÎ ±¸Çö ¹æ¾ÈÀÌ ³Î¸® ¿¬±¸µÇ°í ÀÖÁö ¾Ê°í ÀÖ´Ù. º» ¿¬±¸¿¡¼­´Â ¿¬±¸ ¿ª·® °­È­¸¦ ¸ñÀûÀ¸·Î °³¹ßµÇ°í ÀÖ´Â InSciTe Advisory »ç·Ê¸¦ ÅëÇØ °í·ÁÇÒ »çÇ×°ú ¾î¶² °³¹ß ¿ä¼ÒµéÀÌ ÇÊ¿äÇÑ Áö¸¦ »ìÆ캽À¸·Î½á ÇØ´ç ¿¬±¸ ºÐ¾ßÀÇ ±â¹ÝÀ» Á¦½ÃÇÏ°íÀÚ ÇÑ´Ù. InSciTe Advisory ½Ã½ºÅÛÀº 5W1H ¹æ¹ý·ÐÀ» Áß½ÉÀ¸·Î ¿¬±¸ÀÚ°¡ ·Ñ ¸ðµ¨ ±×·ì¿¡ µµ´ÞÇϱâ À§ÇÑ Àü·«À» ¼ö¸³ÇÒ ¼ö ÀÖÀ½À» º¸À̸ç, Æò°¡ ¸ðµ¨À» ÅëÇØ Elsevier SciVal°ú ºñ±³ÇÏ¿© 126.5%¶ó´Â ºñ±³ ¿ìÀ§Àû Æò°¡ °á°ú¸¦ ¾ò¾ú´Ù.
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(English Abstract)
The explosive growth of data and the rapidly changing technical social evolution new analysis paradigm for predicting and reacting the future the past and present ig data. Prescriptive analysis has a fundamental difference because can support specific behaviors and results according to user¡¯s goals with defin researchers establish judgments and activities achiev the goals. However research methods not widely implemented and even the terminology, Prescriptive analysis, is still unfamiliar. This paper thus propose an infrastructure in the prescriptive analysis field with key considerations for enhancing capability of researchers through a case study based on InSciTe Advisory developed with scientific big data. InSciTe Advisory system s developed in 2013, and offers a prescriptive analytics report which contains various As-Is analysis results and To-Be analysis results 5W1H methodology. InSciTe Advisory therefore shows possibility strategy aims to reach a target role model group. Through the availability and reliability of the measurement model the evaluation results obtained relative advantage of 118.8% compared to Elsevier SciVal.
Å°¿öµå(Keyword) Áö½ÃÀû ºÐ¼®   ¿¬±¸ ¿ª·® °­È­ ¸ðµ¨   Áö´ÉÇü ¼Ö·ç¼Ç   ÀλçÀÌÆ® ¾îµå¹ÙÀÌÀú¸®   ¿¹Ãø ºÐ¼®   prescriptive analytics   research capability enhancement model   artificial solution   InSciTe advisory   predictive analytics  
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