| Title: Blood Transfusion Service Center Data Set |
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| Abstract: Data taken from the Blood Transfusion Service Center in Hsin-Chu City |
| in Taiwan |
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| Data Set Characteristics: Multivariate |
| Number of Instances: 748 |
| Area: Business |
| Attribute Characteristics: Real |
| Number of Attributes: 5 |
| Date Donated: 2008-10-03 |
| Associated Tasks: Classification |
| Missing Values? N/A |
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| Source: |
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| Original Owner and Donor |
| Prof. I-Cheng Yeh |
| Department of Information Management |
| Chung-Hua University, |
| Hsin Chu, Taiwan 30067, R.O.C. |
| e-mail:icyeh 'at' chu.edu.tw |
| TEL:886-3-5186511 |
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| Date Donated: October 3, 2008 |
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| Data Set Information: |
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| To demonstrate the RFMTC marketing model (a modified version of RFM), this study |
| adopted the donor database of Blood Transfusion Service Center in Hsin-Chu City |
| in Taiwan. The center passes their blood transfusion service bus to one |
| university in Hsin-Chu City to gather blood donated about every three months. To |
| build a FRMTC model, we selected 748 donors at random from the donor database. |
| These 748 donor data, each one included R (Recency - months since last |
| donation), F (Frequency - total number of donation), M (Monetary - total blood |
| donated in c.c.), T (Time - months since first donation), and a binary variable |
| representing whether he/she donated blood in March 2007 (1 stand for donating |
| blood; 0 stands for not donating blood). |
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| Attribute Information: |
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| Given is the variable name, variable type, the measurement unit and a brief |
| description. The "Blood Transfusion Service Center" is a classification problem. |
| The order of this listing corresponds to the order of numerals along the rows of |
| the database. |
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| R (Recency - months since last donation), |
| F (Frequency - total number of donation), |
| M (Monetary - total blood donated in c.c.), |
| T (Time - months since first donation), and |
| a binary variable representing whether he/she donated blood in March 2007 (1 |
| stand for donating blood; 0 stands for not donating blood). |
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| Table 1 shows the descriptive statistics of the data. We selected 500 data at |
| random as the training set, and the rest 248 as the testing set. |
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| Table 1. Descriptive statistics of the data |
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| Variable Data Type Measurement Description min max mean std |
| Recency quantitative Months Input 0.03 74.4 9.74 8.07 |
| Frequency quantitative Times Input 1 50 5.51 5.84 |
| Monetary quantitative c.c. blood Input 250 12500 1378.68 1459.83 |
| Time quantitative Months Input 2.27 98.3 34.42 24.32 |
| Whether he/she donated blood in March 2007 binary 1=yes 0=no Output 0 1 1 (24%) 0 (76%) |
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| Citation Request: |
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| NOTE: Reuse of this database is unlimited with retention of copyright notice for |
| Prof. I-Cheng Yeh and the following published paper: |
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| Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, "Knowledge discovery on RFM |
| model using Bernoulli sequence, "Expert Systems with Applications, 2008 |
| (doi:10.1016/j.eswa.2008.07.018). |
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