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3 p p 62 - 71 2 37 3 0 D a t a W a r e h o u s e Implementation R1 Chapter 2.4 pp 71-85 2 38 3 1 M a p p i n g T h e D a t a W a r e h o u s e To Multiprocessor Architecture R2 Part II Chap. 2 p p 44-62 2 35 2 9 D a t a W a r e h o u s e A r c h i t e c t u r e R 1 C h a p t e r 2. DATA WAREHOUSING 2 7 D a t a W a r e h o u s i n g C o m p o n e n t s R 4 C h a p t e r 1 1 3 3 2 8 M u l t i D i m e n s i o n a l D a t a M o d e l R 1 C h a p t e r 2. 4 p p 348-354 1 31 2 6 H i e r a r c h i c a l M e t h o d s R 1, C h a p t e r 8. 8 p p 319-322 1 27 2 2 C l u s t e r s A n a l y s i s R 1, C h a p t e r 8.ġ p p 335-338 1 28 2 3 T y p e s O f D a t a I n C l u s t e r Analysis R1, Chapter 8.2 pp 338-346 1 29 2 4 C a t e g o r i z a t i o n O f M a j o r Clustering Methods R1, Chapter 8.3 pp 346-348 1 30 2 5 P a r t i t i o n i n g M e t h o d s R 1, C h a p t e r 8.
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7 p p 314-319 1 26 2 1 P r e d i c t i o n R 1, C h a p t e r 7. 1 p p 279-282 1 21 1 7 I s s u e s R e g a r d i n g C l a s s i f i c a t i o n And Prediction R1, Chapter 7.2 pp 282-284 1 22 1 8 C l a s s i f i c a t i o n B y D e c i s i o n T r e e Induction R1, Chapter 7.3 pp 284-296 2 24 1 9 B a y e s i a n C l a s s i f i c a t i o n R 1, C h a p t e r 7.Ĥ p p 296-302 1 25 2 0 O t h e r C l a s s i f i c a t i o n M e t h o d s R 1, C h a p t e r 7. PREDICTIVE MODELING 1 6 C l a s s i f i c a t i o n A n d P r e d i c t i o n R 1, C h a p t e r 7. 2 p p 5-9 1 4 5 A r c h i t e c t u r e O f A T y p i c a l D a t a Mining Systems R1, Chapter 1.2 pp 5-9 1 5 6 C l a s s i f i c a t i o n O f D a t a M i n i n g Systems R1, Chapter 1.6 pp 28-30 1 6 7 O v e r v i e w O f D a t a M i n i n g Techniques R3, Chapter pp 44-48 1 7. 4 p p 21-26 1 3 4 S t e p s I n D a t a M i n i n g P r o c e s s R 1, C h a p t e r 1.
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1 I n t r o d u c t i o n t o D a t a m i n i n g and knowledge discovery R3, Chapter pp 37-39 1 1 2 R e l a t i o n T o S t a t i s t i c s, Databases R3, Chapter pp 39-40 1 2 3 D a t a M i n i n g F u n c t i o n a l i t i e s R 1, C h a p t e r 1. Sean Ke lly, 'Da ta War ehousing In Ac tion', J ohn W iley & Sons I nc., 1997. Ralph K imball, 'The Da ta Ware house Lif e Cycle T oolkit', J ohn Wil ey & Sons Inc., 1998. Us am a M.F ay ya d, G re go ry Pi at et sk y - S ha pi ro, Pa dh ra i Sm yt h A nd R am as am y Uthurusamy, 'Advances In Knowledge Discovery And Data Mining', The M.I.T Press, 1996. Sm ith, “Dat a Warehou sing, Dat a Mining,& OLA P”, Tata Mcg raw- Hill, 2004. Ji aw ei Ha n, Mi che li ne Ka mb er, 'D at a Mi nin g: Co nce pt s and Te chn iqu es ', Mo rg an Kaufmann Publishers, 2002. In addition to providing a detailed overview and strategic analysis of the available data warehousing technologies,the book serves as a practical guide to data warehouse database design,star and snowflake schema approaches,multidimensional and mutirelational models,advanced indexing techniques,and data mining. GMT data warehousing mining and olap pdf. Data warehousing mining and olap management alex berson.