Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 4 pdf

... is 100 percent wrong. As the 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 40 0 42 0 44 0 46 0 48 0 500 520 540 560 580 47 0 643 c07.qxd 3/8/ 04 11:36 AM Page 217Artificial Neural Networks ... 56.6% 43 .4% 99 39.2% 60.8% 148 40 .4% 59.6% 57 27.0% 73.0% 44 0 27.9% 72.1% 218 < 0.18 < 4, 855 ≥ 88 ,45 5 67.3% 32.7% 110 66.0% 34. 0% 47 70.9% 29.1% 55 52.0% 48 .0% ... allowed to become 100 120 140 160 180 200 220 240 260 280 300 Proportion of Event in Top Ranks (10%) 320 340 360 380 40 0 42 0 44 0 46 0 48 0 500 520 540 560 580 The formula for the adjusted error...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 8 pdf

... the customer relationship evolves over time. Although each 47 0 643 c 14. qxd 3/8/ 04 11:18 AM Page 45 7 Data Mining throughout the Customer Life Cycle 45 7 business is different, the customer relationship ... Forced Figure 14. 3 The customer life cycle progresses through different stages. 47 0 643 c 14. qxd 3/8/ 04 11:18 AM Page 46 9 Data Mining throughout the Customer Life Cycle 46 9 existing base forecast ... allow users to slice and dice data, and sometimes to drill down to the customer level. 47 0 643 c15.qxd 3/8/ 04 11:20 AM Page 47 4 47 4 Chapter 15 believe that, over time, informed decisions lead...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 2 pps

... 38 40 41 42 43 44 45 46 47 48 00 10 20 30 40 01 11 21 31 41 02 12 22 32 42 03 13 23 33 43 04 14 24 34 44 05 15 25 35 45 06 16 26 36 46 07 17 27 37 47 08 ... longer-lasting customers. 47 0 643 c 04. qxd 3/8/ 04 11:10 AM Page 87 Data Mining Applications in Marketing and Customer Relationship Management 4 CHAPTER Some people find data mining techniques ... (2003) 43 500 43 000 42 500 42 000 41 500 41 000 40 500 40 000 August September October Figure 3.2 Did sales drop off in October? 47 0 643 c03.qxd 3/8/ 04 11:09 AM Page 43 and Best Practices 3 Data...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 3 pps

... 0.0219%*1.96=0. 042 9% 4. 46% 4. 54% 4. 6% 900,000 0.0221% 1.96 0.0221%*1.96=0. 043 3% 4. 56% 4. 64% 4. 7% 900,000 0.0223% 1.96 0.0223%*1.96=0. 043 7% 4. 66% 4. 74% 4. 8% 900,000 0.0225% 1.96 0.0225%*1.96=0. 044 1% ... low. 47 0 643 c05.qxd 3/8/ 04 11:11 AM Page 145 The Lure of Statistics: Data Mining Using Familiar Tools 145 Size of Sample The formulas for the standard error of a proportion and for the standard ... 0.0225%*1.96=0. 044 1% 4. 76% 4. 84% 4. 9% 900,000 0.0228% 1.96 0.0228%*1.96=0. 044 7% 4. 86% 4. 94% 5.0% 900,000 0.0230% 1.96 0.0230%*1.96=0. 045 1% 4. 95% 5.05% 5.1% 900,000 0.0232% 1.96 0.0232%*1.96=0. 045 5%...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 5 pot

... $41 .00 3 3 $39.25 4 4 $39.75 5 5 $40 .50 6 1 $40 .50 7 2 $40 .75 8 3 $41 .25 9 4 $42 .00 10 5 $41 .50 47 0 643 c08.qxd 3/8/ 04 11: 14 AM Page 2 64 2 64 Chapter 8 1 0.9 0.8 0.7 0.6 0.5 0 .4 ... 2,5,3 ,4, 1 2,5,3 ,4, 1 3 3,2,5 ,4, 1 3,2,5 ,4, 1 3,2,5 ,4, 1 4 4,1,5,2,3 4, 1,5,2,3 4, 1,5,2,3 5 5,2,3 ,4, 1 5,2,3 ,4, 1 5,2,3 ,4, 1 47 0 643 c07.qxd 3/8/ 04 11:37 AM Page 245 Artificial Neural Networks 245 or ... = 4 K = 5 dsum 0. 749 to 0 1 .44 1 to 0 1 .44 1 2.085 to 2.085 to to 0. 647 0. 647 1.290 dEuclid 0.669 to 0 0.669 to 0.669 to 1.157 to 1.601 to 0.562 1.062 1.062 1.062 47 0 643 c08.qxd 3/8/04...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 7 ppt

... RANGE 35–39 yrs 0.16% 40 44 yrs 0. 24% 45 49 yrs 0.36% 50– 54 yrs 0.52% 55–59 yrs 0.80% 60– 64 yrs 1.26% 65–69 yrs 1.93% 70– 74 yrs 2.97% 75–79 yrs 4. 56% 80– 84 yrs 7 .40 % 85+ yrs 15.32% A ... 2.5% 3.0% Hazard 0-1 yrs1 -4 yrs5-9 yrs10- 14 yrs15-19 yrs20- 24 yrs25-29 yrs30- 34 yrs35-39 yrs 40 -44 yrs 45 -49 yrs50- 54 yrs55-59 yrs60- 64 yrs65-69 yrs70- 74 yrs Age (Years) Figure ... period. Table 12.2 Tenure Data for Several Customers 5CUSTOMER CENSORED TENURE2 N 4 3 N 3 4 Y 3 5 N 2 6 Y 1 7 N 1 47 0 643 c12.qxd 3/8/ 04 11:17 AM Page 40 6 40 6 Chapter 12 At any point...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 9 pptx

... single customer loyalty model, and shared definitions of such terms as customer start, new customer, loyal customer, and valuable customer. 47 0 643 c17.qxd 3/8/ 04 11:29 AM Page 5 64 5 64 Chapter ... customer model is complicated and takes into account sales, billing, and business hierarchy information. 47 0 643 c17.qxd 3/8/ 04 11:29 AM Page 549 Preparing Data for Mining 549 Figure 17.5 SAS Enterprise ... produced by equal-width bins in this case, is useless for data mining purposes 47 0 643 c17.qxd 3/8/ 04 11:29 AM Page 543 Preparing Data for Mining 543 Histograms, such as those in Figure 17.2, shows...

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 10 pps

... functions, 42 4 mutation, 43 1 43 2 neural networks and, 43 9 44 0 optimization, 42 2 overview, 42 1 42 2 resource optimization, 43 3 43 5 response modeling, 44 0 44 3 schemata, 43 4, 43 6 43 8 selection ... 89–90 metadata repository, 48 4, 49 1 methodologies data correction, 72– 74 data exploration, 64 68 data mining process, 54 55 data selection, 60– 64 data transformation, 74 76 data translation, ... 548 derived variables, 542 discussed, 542 identification, 548 ignored, 547 input, 547 with one value, 544 – 546 target, 547 with unique values, 546 – 547 weight, 548 comparisons, 83 for...

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition

... Chapter 17 Preparing Data for Mining 539 What Data Should Look Like 540 The Customer Signature 540 The Columns 542 Columns with One Value 544 Columns with Almost Only One Value 544 Columns with ... The Role of Data Warehousing 4 The Role of Data Mining 5 The Role of the Customer Relationship Management Strategy 6 What Is Data Mining? 7 What Tasks Can Be Performed with Data Mining? 8 Classification ... Team-Fly® 47 0 643 c03.qxd 3/8/ 04 11:09 AM Page 49 Data Mining Methodology and Best Practices 49 Learning Things That Are Already Known Data mining should provide new information. Many...

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