Name
Title | ||
|---|---|---|
Characterization and analysis of sales data for the semiconductor market: An expert system approach |
Abstract | ||
|---|---|---|
Chip purchasing policies of the Original Equipment Manufacturers (OEMs) of laptop computers are characterized by similarity measures and probabilistic rules. Our main goal is to build an expert system for predicting purchasing behavior in the semiconductor market. The probabilistic rules and similarity measures are extracted from data of products bought by the OEMs in the semiconductor market over twenty quarters. We present the data collected and different qualitative data mining approaches to analyze and extract rules from the data that best characterize the purchasing behavior of the OEMs. Our analysis of the similar product selection shows that there are two main groups of OEMs buying similar products. Using our probabilistic rules, we obtain an average score of approximately 95% reconstructing quarterly data for a one year window. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.eswa.2013.08.020 | Expert Syst. Appl. |
Keywords | Field | DocType |
expert system approach,main goal,sales data,similar product,probabilistic rule,purchasing behavior,similarity measure,semiconductor market,chip purchasing policy,main group,different qualitative data mining,quarterly data,data mining,expert systems | Data mining,Laptop,Qualitative property,Computer science,Original equipment manufacturer,Expert system,Product selection,Purchasing,Artificial intelligence,Probabilistic logic,Machine learning | Journal |
Volume | Issue | ISSN |
41 | 3 | 0957-4174 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J.-Emeterio Navarro-Barrientos | 1 | 3 | 1.57 |
| Dieter Armbruster | 2 | 115 | 20.96 |
| Hongmin Li | 3 | 52 | 6.21 |
| Morgan Dempsey | 4 | 0 | 0.68 |
| Karl G. Kempf | 5 | 159 | 39.76 |