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ÇѱÛÁ¦¸ñ(Korean Title) |
À¥ ¸¶ÀÌ´×À» À§ÇÑ ÀÔ·Â µ¥ÀÌŸÀÇ Àü󸮰úÁ¤¿¡¼ »ç¿ëÀÚ±¸ºÐ°ú ¼¼¼Çº¸Á¤ |
¿µ¹®Á¦¸ñ(English Title) |
User Identification and Session completion in Input Data Preprocessing for Web Mining |
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¿ø¹®¼ö·Ïó(Citation) |
VOL 30 NO. 09 PP. 0843 ~ 0849 (2003. 10) |
Çѱ۳»¿ë (Korean Abstract) |
À¥ ÀÌ¿ë ¸¶ÀÌ´×Àº °Å´ëÇÑ À¥ ·Î±×µéÀ» ÀÌ¿ëÇÏ¿© À¥ »ç¿ëÀÚÀÇ ÀÌ¿ë ÆÐÅÏÀ» ºÐ¼®ÇÏ´Â µ¥ÀÌŸ ¸¶ÀÌ´× ±â¼úÀÌ´Ù. ÀÌ·¯ÇÑ À¥ ÀÌ¿ë ¸¶ÀÌ´× ±â¼úÀ» »ç¿ëÇϱâ À§Çؼ´Â Àüó¸® °úÁ¤ ÁßÀÇ »ç¿ëÀÚ¿Í ¼¼¼ÇÀ» Á¤È®ÇÏ°Ô ±¸ºÐÇØ¾ß Çϴµ¥, Ç¥ÁØ À¥ ·Î±× Çü½ÄÀÇ ·Î±× ÆÄÀϸ¸À¸·Î´Â ¿ÏÀüÈ÷ ±¸ºÐÇÒ ¼ö ¾ø´Ù. »ç¿ëÀÚ¿Í ¼¼¼ÇÀ» ±¸ºÐÇϱâ À§Çؼ´Â ·ÎÄÃij½Ã, ¹æȺ®, ISP, »ç¿ëÀÚ ÇÁ¶óÀ̹ö½Ã, ÄíÅ° µî°ú °°Àº ¸¹Àº ¹®Á¦µéÀÌ ÀÖÁö¸¸, ÀÌ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÑ ¸íÈ®ÇÑ ¹æ¹ýÀº ¾ÆÁ÷ ¾ø´Ù. ƯÈ÷, ·ÎÄÃij½Ã ¹®Á¦´Â À¥ ¸¶ÀÌ´× ½Ã½ºÅÛÀÇ ÀÔ·ÂÀ¸·Î »ç¿ëµÇ´Â »ç¿ëÀÚ ¼¼¼ÇÀ» ±¸ºÐÇϴµ¥ °¡Àå ¾î·Á¿î ¹®Á¦ÀÌ´Ù. º» ¿¬±¸¿¡¼´Â ÂüÁ¶ ·Î±×¿Í ¿¡ÀÌÀüÆ® ·Î±×, ±×¸®°í ¾×¼¼½º ·Î±× µîÀÇ ¼¹öÃø Ŭ¸¯½ºÆ®¸² µ¥ÀÌŸ¸¸À» ÀÌ¿ëÇÏ¿© ·ÎÄÃij½Ã ¹®Á¦¸¦ ÇØ°áÇÏ°í, »ç¿ëÀÚ ¼¼¼ÇÀ» ±¸ºÐÇÏ°í ¼¼¼ÇÀ» º¸Á¤ÇÏ´Â ÈÞ¸®½ºÆ½ ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Web usage mining is the technique of data mining that analyzes web users´ usage patterns by large web log. To use the web usage mining technique, we have to classify correctly users and users session in preprocessing, but can´t classify them completely by only log files with standard web log format. To classify users and user session there are many problems like local cache, firewall, ISP, user privacy, cookey etc., but there isn´t any definite method to solve the problems now. Especially local cache problem is the most difficult problem to classify user session which is used as input in web mining systems. In this paper we propose a heuristic method which solves local cache problem by using only click stream data of server side like referrer log, agent log and access log, classifies user sessions and completes session. |
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