2008 den222222@gmal.com cshwang@faculty.pccu.edu.tw Internet Case-based ReasonngCBR CBR 1
1. () 50%() (doman knowledge) (case base) (smlarty measure) N N : Case-based ReasonngCBR CBR 2. (Internet)(World Wde Wed) 2.1 Ojala, 1997Zall, 2000 (1) (2) 2
2008 (3) 2.2 錄 (Schafer, Konstan and Redl 2000) (nformaton overloadng) 省 (cost) 濾 (effort) Schafer, Konstan and Redl (2000) 錄 濾 Schafer(2000) 錄 錄 濫 臨 (Resnck 1997) 2.3 Case-Based Reasonng, CBR (Rule-Based ReasonngRBR) (Resbeck & Schank 1989) Lan Waston 1997 IBM (SchankAbelson 1977) 臨 (Myllymak 1993) 4RRetreveReuse RevseRetan 3
1.Nearest-Neghbor Retreval 2.Inductve Retreval 1. 2. 3. 1. 2. 3. 3. TT 3-1-1 1. 2. 3. 4
2008 3.2 :1. 2. 3. 3.3 3-3-2 5
3.4 3-4-1 6 3.4.1.1 () 1: 2: 3.4.1.2 0 1 1 0 ( Sm ) : 3-4-1 sm 1 x = y = 0 x y 3-4-1 ( x, y )
2008 3-4-2 sm ( x, y ) x y = 1 n 1 3-4-2 2-1 : ( x, y ) mn n max x ( x ), y ( x, y ) sm = 3-4-3 ( ) () 1 0.7 0.5 () () 1 0.7 0.5 () () 1 0.7 0.5 : : : : 1 0.7 0.5 Kolodner 1993 Case-Based Reasonng 0~1 0 1 1 3-4-4 j= 1 I R (, y ) n Wj sm x j j I R = ( ) = j 1 smlarty x, y 3-4-4 n W j 3.4.2 K TOP N 3.4.3 TOP N 7
0.1 1 0.1 3.4.4 3-4-3 1 0.8 K K < 0.8 K 3.4.5 C th C tot 4 4-1 CBR 錄 CBR 4.2.3 8
4.2.4 4.2.5 CBR & 4.2.5 4.2.5 4.2.6 5. 4.2.7 10
2008 5.1.1 CBR CBR 1 5 Fuhr et al.1989 1.2. 100 100 1. 2. 3. 4. 5. 10 SPSS 12.0 T 60% 11
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