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8、g 5 b3.9 3B hn s f #hn+ | P ?C 8shn TYVB TBs H LBZ ?sB f ? 3yiF 6BZ VN/ “LV 398s 8ba yp Bi51.n| 3 v J 8%s B b sB 3n =hnQ M YVn L= f ?C Es BCyBb 9 +1 + S 3 L 7 B 98 3 o1M7 O%s p 3 3 o1 9 Mi ON 4eCM1 yN f i bLm B , . V j8 J. S/v ,2014,1(35):91-101.8 . _ V jZE#M1/ D. +:v,2006.9 Ben Fry.f ,r. V j M. :02
9、 . V j bW !8 J bW,2009,6(7):10-14.11. V j 0J. S/ f 7?6 ,2006,16(5):188-190.12 . V j/ # Z J.0Z % ,1999(6):3-9.13bS, ,Z , . V jY s J.q v :Y S ,2004,10(5):668-670.14 , . . V j/ 8 J9 .2006(4):4-9.15Julie Steele, Noah Iliinsky, : ,r. V j M. :k . ?ZEV#p/ . e2002,9 41-6.20Jonathan D.Cryer & Kung-Sik Chan.
10、HW s# R 2 M.S 2011.21Inselberg A.Dimsdale B. Parallel coordinatesAHuman-Machine InteractiveSystemsC.Berlin:Springer,1991,199-233.22Daniel R M, Dianne C. Visualization of dataJ.Current Opinion InBiotechnology,2000,11(1):89-96.23Inselberg A.The plane with parallel coordinatesJ The VisualComputer,1985,
11、1(2):69-91.24Fua Y H, Ward M O, Rundensteiner E A. Hierarchical parallel coordinates forexploration of large datasetsA Proceedings of the Conference onVisualization99:Celebrating Ten YearsC. Los Alamitos: IEEE Computer SocietyPress,1999,443-508.25InselbergA.The plane with parallel coordinatesJThe Vi
12、sual.2626Saito T, Miyamura H N, Yamamoto M, et al. Two-tone pseudo-coloring:Compact visualization for one-dimensional dataA. Proceedings of the 2005 IEEESymposium on Information VisualizationC.Washington DC: IEEE ComputerSociety, 2005. 173-180.27HawkinsD.M.Identification of outliers.Champman and Hall 1980.28Barnett V,Lewis T.Outliers in Statistical Data M.NewYork:John Wiley .29 GAYNOC P E,KIRKPATRICK R C.Introducion to time seriesmodeling and forecasting inbusiness and economicsM. NewYork:McGrawHill,1994.
