DocumentCode
2150959
Title
Revealing sales trends through data mining
Author
Plessas-Leonidis, Spyros ; Leopoulos, Vrassidas ; Kirytopoulos, Konstantinos
Author_Institution
Mech. Eng. Dept., Nat. Tech. Univ. of Athens, Athens, Greece
Volume
1
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
682
Lastpage
687
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.
Keywords
data mining; pattern clustering; publishing; data mining; data patterns; publishing industry; revealing sales trends; valuable tool; Data mining; Economic forecasting; Engineering management; Financial management; Marketing and sales; Mechanical engineering; Mining industry; Predictive models; Pricing; Publishing; case study; data mining; sales forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451296
Filename
5451296
Link To Document