Àüü
ÀüÀÚ/Àü±â
Åë½Å
ÄÄÇ»ÅÍ
·Î±×ÀÎ
ȸ¿ø°¡ÀÔ
About Us
ÀÌ¿ë¾È³»
¿¬±¸¹®Çå
±¹³» ³í¹®Áö
¿µ¹® ³í¹®Áö
±¹³» ÇÐȸÁö
Çмú´ëȸ ÇÁ·Î½Ãµù
±¹³» ÇÐÀ§ ³í¹®
³í¹®Á¤º¸
¹é¼
±³À°Á¤º¸
¿¬±¸ ù°ÉÀ½
ÇаúÁ¤º¸
°ÀÇÁ¤º¸
µ¿¿µ»óÁ¤º¸
E-Learning
¿Â¶óÀÎ Àú³Î
½ÉÈÁ¤º¸
¿¬±¸ ¹× ±â¼úµ¿Çâ
Áֿ俬±¸ÅäÇÈ
ÁÖ¿ä°úÁ¦ ¹× ±â°ü
Çؿܱâ°ü °ü·ÃÀÚ·á
¹ÙÀÌ¿À Á¤º¸±â¼ú
ÁÖ¿ä Archive Site
Æ÷Ä¿½ºiN
¿¬±¸ÀÚ Á¤º¸
¶óÀÌ¡½ºÅ¸
ÆÄ¿öiNÅͺä
¼¼ÁßÇÑ
¿¬±¸ÀÚ·á
¹®ÀÚ DB
¿ë¾î»çÀü
¾Ë¸²¸¶´ç
ºÎ½Ç ÇмúÈ°µ¿ ¿¹¹æ
³í¹®¸ðÁý
´ëȸ¾È³»
What's New
¿¬±¸ºñÁ¤º¸
±¸ÀÎÁ¤º¸
°øÁö»çÇ×
CSERIC ±¤Àå
Post-Conference
¿¬±¸ÀÚ Ä«Æä
ÀÚÀ¯°Ô½ÃÆÇ
Q&A
´Ý±â
»çÀÌÆ®¸Ê
¿¬±¸¹®Çå
±¹³» ³í¹®Áö
¿µ¹® ³í¹®Áö
±¹³» ÇÐȸÁö
Çмú´ëȸ ÇÁ·Î½Ãµù
±¹³» ÇÐÀ§ ³í¹®
³í¹®Á¤º¸
¹é¼
±³À°Á¤º¸
¿¬±¸ ù°ÉÀ½
ÇаúÁ¤º¸
°ÀÇÁ¤º¸
µ¿¿µ»óÁ¤º¸
E-Learning
¿Â¶óÀÎ Àú³Î
½ÉÈÁ¤º¸
¿¬±¸ ¹× ±â¼úµ¿Çâ
Áֿ俬±¸ÅäÇÈ
ÁÖ¿ä°úÁ¦ ¹× ±â°ü
Çؿܱâ°ü °ü·ÃÀÚ·á
¹ÙÀÌ¿À Á¤º¸±â¼ú
ÁÖ¿ä Archive Site
ÄÄÇ»ÅÍiN
¿¬±¸ÀÚ Á¤º¸
¿¬±¸ÀÚ·á
¹®ÀÚ DB
Ȧ·Î±×·¥ DB
¿ë¾î»çÀü
¾Ë¸²¸¶´ç
ºÎ½Ç ÇмúÈ°µ¿ ¿¹¹æ
³í¹®¸ðÁý
´ëȸ¾È³»
What's New
¿¬±¸ºñ Á¤º¸
±¸ÀÎÁ¤º¸
°øÁö»çÇ×
IT Daily
CSERIC ±¤Àå
Post-Conference
¿¬±¸ÀÚ Ä«Æä
ÀÚÀ¯°Ô½ÃÆÇ
Q&A
¼ºñ½º ¹Ù·Î°¡±â
¼³¹®Á¶»ç
¿¬±¸À±¸®
°ü·Ã±â°ü
Please wait....
¿¬±¸¹®Çå
±¹³» ³í¹®Áö
¿µ¹® ³í¹®Áö
±¹³» ÇÐȸÁö
Çмú´ëȸ ÇÁ·Î½Ãµù
±¹³» ÇÐÀ§ ³í¹®
³í¹®Á¤º¸
¹é¼
±¹³» ÇÐȸÁö
Ȩ > ¿¬±¸¹®Çå > ±¹³» ÇÐȸÁö >
µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)
µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)
Current Result Document :
1
/ 2
´ÙÀ½°Ç
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)
Çѱ۳»¿ë
(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.
¿µ¹®³»¿ë
(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§ ÁúÀǾî
ºóƼÁö Æ÷ÀÎÆ®
°Å¸®±â¹Ý °ø°£ º¯È¯
multimedia database
Non-ordered Discrete Data Spaces
range query
vantage points
distance-based space transformation
ÆÄÀÏ÷ºÎ
PDF ´Ù¿î·Îµå
¸ñ·Ï
Copyright(c)
Computer Science Engineering Research Information Center
. All rights reserved.