{ "data_id": "64", "name": "blood-transfusion-service-center", "exact_name": "blood-transfusion-service-center", "version": 1, "version_label": null, "description": "**Author**: Prof. I-Cheng Yeh \n**Source**: UCI\n**Please cite**: 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). \n\nTitle: Blood Transfusion Service Center Data Set\n\nAbstract: Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem.\n\n-----------------------------------------------------\nDate Donated: 2008-10-03\n-----------------------------------------------------\n \nSource:\n \nOriginal Owner and Donor\nProf. I-Cheng Yeh, Department of Information Management, Chung-Hua University, Hsin Chu, Taiwan 30067, R.O.C.\ne-mail:icyeh 'at' chu.edu.tw, TEL:886-3-5186511\nDate Donated: October 3, 2008 \n\n-----------------------------------------------------\n \nData Set Information:\n \nTo 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).\n\n-----------------------------------------------------\n \nAttribute Information:\n \nGiven is the variable name, variable type, the measurement unit and a brief description. The \"Blood Transfusion Service Center\" is a classification problem. 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