... EACH AGE 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 ... is, one customer out of every thousand leaves every day. After a year ( 365 days), this means that about 30 .6 percent of the customers have left. It takes about 69 2 days for half the cu...
Ngày tải lên: 22/06/2014, 04:20
... scaling, 363 – 364 single linkage, 369 soft clustering, 367 SOM (self-organizing map), 372 vectors, angles between, 361 – 362 weighting, 363 – 365 zone boundaries, adjusting, 380 47 064 3 c18.qxd ... 91, 351 distance and similarity, 359– 363 divisive clustering, 371–372 evaluation, 372–373 Gaussian mixture model, 366 – 367 geometric distance, 360 – 361 hard clustering, 367 He...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_2 docx
... 0 .60 7 1.531 R/CO 0.924 0 0 0 0.924 R/FE 0.924 0 .65 4 0 .63 1 0 .60 7 2.8 16 R/JA 0 0 .65 4 0 .63 1 0 .60 7 1.892 R/MI 0 0 .65 4 0 0 0 .62 4 47 064 3 c08.qxd 3/8/04 11:14 AM Page 277 Memory-Based Reasoning and ... New Customer 1 2 3 4 5 NEIGHBORS d sum 1 .66 2 1 .65 9 1.338 1.003 1 .64 0 4,3,5,2,1 d norm 0.554 0.553 0.4 46 0.334 0.547 4,3,5,2,1 d Euclid 0.781 1.052 1.251 0...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_3 ppt
... 2.085 to 2.085 to to 0 .64 7 0 .64 7 1.290 d Euclid 0 .66 9 to 0 0 .66 9 to 0 .66 9 to 1.157 to 1 .60 1 to 0. 562 1. 062 1. 062 1. 062 47 064 3 c09.qxd 3/8/04 11:15 AM Page 288 288 Chapter 9 In this shopping ... 8. 16) . Table 8.15 Attrition Prediction with Weighted Voting K = 1 K = 2 K = 3 K = 4 K = 5 d sum 0.749 to 0 1.441 to 0 1.441 2.085 to 2.085 to to 0 .64 7 0 .64 7 1.290 d...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_4 docx
... NUMBER NUMBER DURATION 1 353- 365 8 350-5 166 00:00:41 2 353-3 068 350-5 166 00:00:23 3 353-4271 353-3 068 00:00:01 4 353-3108 555-1212 00:00:42 5 353-3108 350 -65 95 00:01:22 The Approach Finding ... Eulerian path in honor of the mathematician who posed and solved this problem. 47 064 3 c10.qxd 3/8/04 11: 16 AM Page 3 36 3 36 Chapter 10 Hubs and Authorities in Practice The...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_5 ppt
... and evergreens, and between winter, spring, summer, and fall. People know enough about woodland flora to predict that, of all the hundreds of vari- ables associated with the forest, season and ... 1 through 28, it will appear that flavors 5 and 6 are closely related while flavors 1 and 28 are far apart. These and other data transformation and preparation issues are discus...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_9 pptx
... value. 47 064 3 c 16. qxd 3/8/04 11:29 AM Page 513 Building the Data Mining Environment 16 CHAPTER In the Big Rock Candy Mountains, There’s a land that’s fair and bright, Where the handouts grow ... jobs. In the ideal customer- centric organization, everyone is rewarded for increasing cus- tomer value and understands that this requires learning from each customer 47 064 3...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_11 pptx
... Customer 4 $10,000 14.9% $2,500 $0 $0 $75 $0.00 $25.00 $25.00 Customer 5 $8,000 12.9% $6, 500 $0 $0 $6, 500 $0.00 $65 .00 $65 .00 Customer 6 $5,000 17.9% $0 $4,500 $135 $135 $67 .13 $0.00 $67 .13 ... DIRECT BILL DM 69 ,1 26 51,481 TM 50,105 249,208 WEB 67 ,830 29 ,60 8 47 064 3 c17.qxd 3/8/04 11:29 AM Page 564 564 Chapter 17 Making Progress Although quite rudimentary,...
Ngày tải lên: 22/06/2014, 04:20
Learning Management Marketing and Customer Support_13 pptx
... assembling, 68 business versus residential customers, 561 columns, pivoting, 563 computational issues, 594–5 96 considerations, 564 customer identification, 560 – 562 data for, cataloging, 559– 560 ... assumptions, validating, 67 descriptions, comparing values with, 65 discussed, 64 distributions, examining, 65 histograms, 565 – 566 intuition, 65 question asking, 67 6...
Ngày tải lên: 22/06/2014, 04:20
Data For Marketing Risk And Customer Relationship Management_4 potx
... variables into strong predictors. And every step of the way, I worked through the one-model and two-model approaches. We are now ready to take our final candidate variables and create the winning model. ... coefficients and create an output data set. I am now ready to process my candidate variables in the final model for both Method 1 (one-step model) and Method 2 (two-step model...
Ngày tải lên: 21/06/2014, 13:20