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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ÇÐȸÁö > µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)

µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)

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ÇѱÛÁ¦¸ñ(Korean Title) ºñ Á¤·Ä ÀÌ»ê µ¥ÀÌÅÍ °ø°£¿¡¼­ °Å¸®±â¹ÝÀÇ °ø°£ º¯È¯À» À§ÇÑ µ¥ÀÌÅÍ µ¶¸³ÀûÀÎ ºóƼÁö Æ÷ÀÎÆ® »ý¼º ±â¹ý
¿µ¹®Á¦¸ñ(English Title) Data Independent Vantage Point Selection method for Distance-Based Space Transformation in Non-ordered Discrete Data Space
ÀúÀÚ(Author) ±è»ó±Ù   Á¤¼º¿ø   Sangkeun Kim   Sungwon Jung  
¿ø¹®¼ö·Ïó(Citation) VOL 32 NO. 03 PP. 0087 ~ 0096 (2016. 12)
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(Korean Abstract)
ÃÖ±Ù ¹üÀ§ ÁúÀǸ¦ ÀÌ¿ëÇÑ ÀÀ¿ëºÐ¾ß¿¡¼­ µ¥ÀÌÅͺ£À̽ºÀÇ Å©±â°¡ Áõ°¡ÇÏ°í µ¥ÀÌÅÍ °´Ã¼°¡ °®´Â ¼Ó¼º °ªÀÌ ´Ù¾çÇØÁü¿¡ µû¶ó¼­ È¿°úÀûÀÎ ¹üÀ§ ÁúÀǾî 󸮸¦ À§ÇÑ ±â¼ú °³¹ßÀÌ ¿ä±¸µÇ°í ÀÖ´Ù. ±×Áß ºñ Á¤·Ä ÀÌ»ê µ¥ÀÌÅÍ´Â ¼ø¼­°¡ Á¸ÀçÇÏÁö ¾Ê±â ¶§¹®¿¡ ¹üÀ§ ÁúÀǾî 󸮸¦ È¿À²ÀûÀ¸·Î ÇÒ ¼ö ÀÖ´Â ±âÁ¸ÀÇ µ¥ÀÌÅÍ Àε¦½Ì ¹æ¹ýÀ» »ç¿ëÇÒ ¼ö ¾ø´Â ¹®Á¦Á¡ÀÌ ÀÖ´Ù. ÇÑÆí ºóƼÁö Æ÷ÀÎÆ®¿¡ ÀÇÇÑ °ø°£ º¯È¯Àº µ¥ÀÌÅÍ °´Ã¼°£ÀÇ º¹ÀâÇÑ °Å¸® °è»êÀÌ ÇÊ¿ä ¾ø´Â È¿À²ÀûÀÎ À¯»ç ÁúÀǾî 󸮿¡ ÀûÇÕÇÑ °Å¸® ±â¹Ý º¤ÅÍ °ø°£À¸·Î º¯È¯½ÃŲ´Ù. ±×·±µ¥ ±âÁ¸¿¡ Á¦¾ÈµÈ °ø°£ º¯È¯ ±â¹ýµéÀº ºñ Á¤·Ä ÀÌ»ê °ø°£ µ¥ÀÌÅÍ¿¡´Â Àû¿ëÇϱ⠾î·Æ´Ù´Â ¹®Á¦°¡ ÀÖ¾ú´Ù. À§¿Í °°Àº ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÏ¿© º» ³í¹®¿¡¼­´Â ¸ÕÀú °Å¸® Ä«µð³Î¸®Æ¼¸¦ ÃÖ´ë·ÎÇϴ Ž¿åÀû ¾Ë°í¸®Áò ±â¹ÝÀÇ ºóƼÁö Æ÷ÀÎÆ® ¼±Åà ±â¹ý NDVPS¸¦ Á¦¾ÈÇÏ°í, º¯È¯µÈ °ø°£¿¡¼­ÀÇ ¹üÀ§ ÁúÀǾî ó¸® ¾Ë°í¸®ÁòÀ» °³¹ßÇÏ¿´´Ù. ½ÇÇè °á°ú´Â Á¦¾ÈµÈ ±â¹ýÀÌ ±âÁ¸ ºñ Á¤·Ä ÀÌ»ê °ø°£¿¡¼­ÀÇ ¹üÀ§ ÁúÀǾî ó¸® ¼º´É¿¡ ºñÇØ ´õ È¿°úÀûÀÎ ¼º´ÉÀ» º¸¿©ÁØ´Ù.
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(English Abstract)
On the application field of range query, the size of database is increasing and the attribute value of data objects is becoming various. Accordingly, a request for development on the technology to process range query is rising. Among them, NDDS(Non-ordered Discrete Data Spaces) has the problem of not being able to use the existing data indexing method which can effectively process range query, because the data does not have any orders. On the other hand, space transformation by vantage point convert into vector space which is appropriate for efficient range query since it does not require complex distance calculations between data objects. However, space transformation method that previously suggested had a problem that is hard to apply on NDDS. To solve this type of problem, this paper proposes a vantage point selection method NDVPS with maximum cardinality based on greedy-algorithm, and developed a range query processing algorithm in the transformed space. The experiment result shows that our proposed method processes range query more efficiently in NDDS than the existing works.
Å°¿öµå(Keyword) ¸ÖƼ¹Ìµð¾î µ¥ÀÌÅͺ£À̽º   ºñ Á¤·Ä ÀÌ»ê °ø°£   ¹üÀ§ ÁúÀǾ ºóƼÁö Æ÷ÀÎÆ®   °Å¸®±â¹Ý °ø°£ º¯È¯   multimedia database   Non-ordered Discrete Data Spaces   range query   vantage points   distance-based space transformation  
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