data mining techniques for customer relationship management pdf

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

... that, on a technical level, the data mining effort is working and the data is reasonably accurate. This can be quite comforting. If the data and the data mining techniques applied to it are powerful ... this ideal, but the corporate data warehouse is still the most important source of data for analytic customer relationship management. The Role of Data Mining The data warehouse provides the ... What Is Data Mining? 1 Analytic Customer Relationship Management 2 The Role of Transaction Processing Systems 3 The Role of Data Warehousing 4 The Role of Data Mining 5 The Role of the Customer...

Ngày tải lên: 07/04/2014, 11:16

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

... before. The newly discovered relationships suggest new hypotheses to test and the data mining process begins all over again. Lessons Learned Data mining comes in two forms. Directed data mining ... independent of the data 470643 c04.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 interesting ... California based on data that excludes calls to Los Angeles. Step Six: Transform Data to Bring Information to the Surface Once the data has been assembled and major data problems fixed, the data...

Ngày tải lên: 21/06/2014, 04:20

... channel B customer a figure that is as valuable as the cost- per-response measures often used to rate channels. Data Mining for Customer Relationship Management Customer relationship management ... Page 109 Data Mining Applications 109 Start Tracking Customers before They Become Customers It is a good idea to start recording information about prospects even before they become customers. ... customer data by beginning to track customers from their first response, even before they become customers, and gathering and storing additional information when customers are acquired. Once customers...

Ngày tải lên: 21/06/2014, 04:20

... of real data to use for training sets. Consequently, they spent much time and effort trying to coax the last few drops of information from their impoverished datasets—a problem that data miners ... Trees as a Data Exploration Tool During the data exploration phase of a data mining project, decision trees are a useful tool for picking the variables that are likely to be important for predict- ing ... binomial formula was posthu- mously published. So there are well-known formulas for determining what it means to have observed E occurrences of some event in N trials. In particular, there is a formula...

Ngày tải lên: 21/06/2014, 21:20

... significant improvement. The Data Cellular telephone data is similar to the call detail data seen in the previous case study for finding fax machines. There is a record for each call that includes ... Study: Segmenting Cellular Telephone Customers This case study applies link analysis to cellular telephone calls for the purpose of segmenting existing customers for selling new services. 1 Analyses ... from dedicated or data lines, we assumed that any number that calls information—411 or 555-1212 (directory assistance services)—is used for voice communications, and is therefore a voice line...

Ngày tải lên: 21/06/2014, 21:20

Ngày tải lên: 21/06/2014, 21:20

... level data, 96 publications Building the Data Warehouse (Bill Inmon), 474 Business Modeling and Data Mining (Dorian Pyle), 60 Data Preparation for Data Mining (Dorian Pyle), 75 The Data ... 89–90 metadata repository, 484, 491 methodologies data correction, 72–74 data exploration, 64–68 data mining process, 54–55 data selection, 60–64 data transformation, 74–76 data translation, ... dumping data, 594 forced attrition, 118 forecasting EBCF (existing base churn forecast), 469 NSF (new start forecast), 469 survival analysis, 415–416 former customers, customer relationships,...

Ngày tải lên: 21/06/2014, 04:20

... analyzing data on the information. can provide value. into actionable information using data mining techniques. Identify Transform data 1 2 3 4 5 6 7 8 9 10 Measure the results of the efforts ... of data mining in practice. Figure 2.1 shows the four stages: 1. Identifying the business problem. 2. Mining data to transform the data into actionable information. 3. Acting on the information. ... for the first time. These parallel database server platforms provide an excellent environ- ment for large-scale data mining. Interest in Customer Relationship Management Is Strong Across a wide...

Ngày tải lên: 21/06/2014, 04:20

... else for the champion. ■■ Use the 5 percent lowest and 5 percent highest value customers for the challenger, and everyone else for the champion. ■■ Use the 10 percent most recent customers for ... in several areas: ■■ Data miners tend to ignore measurement error in raw data. ■■ Data miners assume that there is more than enough data and process- ing power. ■■ Data mining assumes dependency ... 11:11 AM Page 159 The Lure of Statistics: Data Mining Using Familiar Tools 159 statisticians use similar techniques to solve similar problems, the data mining approach differs from the standard...

Ngày tải lên: 21/06/2014, 04:20

... test set to see how well it performs. 7. Apply the model generated by the network to predict outcomes for unknown inputs. Fortunately, data mining software now performs most of these steps auto- matically. ... subset of customers who receive all three offers but are only allowed to respond to one of them. It intends to use this information to build a model for predicting customer affin- ity for each ... and learn from data mimics, in some sense, our own ability to learn from experience. This ability is useful for data mining, and it also makes neural networks an exciting area for research,...

Ngày tải lên: 21/06/2014, 04:20