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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Plessas-Leonidis, S. Leopoulos, V. Kirytopoulos, K. |
| Copyright Year | 2010 |
| Description | Author affiliation: Financial & Management Engineering, Dept. University of the Aegean, Chios, Greece (Kirytopoulos, K.) || Mechanical Engineering Dept., National Technical University of Athens, Greece (Plessas-Leonidis, S.; Leopoulos, V.) |
| Abstract | Data mining is defined as the process of discovering patterns in data. This paper presents a case study of the implementation of data mining techniques in revealing sales trends within the publishing industry. Conclusions of this research, based on successful and unsuccessful trials, indicate that data mining is indeed a valuable tool, however, selection of the appropriate variables - data to be used in relevant models is the only parameter that can define the predictive success or not of the algorithms. |
| Starting Page | 682 |
| Ending Page | 687 |
| File Size | 127516 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424455850 |
| e-ISBN | 9781424455867 |
| DOI | 10.1109/ICCAE.2010.5451296 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-26 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | sales forecasting data mining Predictive models Financial management Data mining Mechanical engineering case study Publishing Engineering management Pricing Economic forecasting Marketing and sales Mining industry |
| Content Type | Text |
| Resource Type | Article |
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