Name
Abstract | ||
|---|---|---|
In recent years, the competitions among the catering enterprises are becoming aggressive, which makes managers require for a higher standard to the operating ability and profitability. The company operation will not be significantly improved simply via the expanding of business volumes. Company inner control mechanism can be an effective means of strengthening competitiveness. Normative service system and management mode can effectively reduce the unnecessary coast and profit loss. In this paper, we propose a loss prevention method for the catering enterprises based on machine learning algorithm. With large amount of real data from a famous restaurant in China, we can obtain solid features related to the restaurant operations. And based on the Bayesian method the exceptional events during the operation process and the service process can be identified. The experiment results show that our method can effectively identify the exceptional events which could cause losses to the restaurant. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10586-017-0961-x | Cluster Computing |
Keywords | Field | DocType |
Loss prevention, Catering management, Commercial data mining, Business assistant | Catering industry,Computer science,Normative,Simulation,Service system,Risk analysis (engineering),Profitability index,Bayesian probability,Distributed computing | Journal |
Volume | Issue | ISSN |
21 | 1 | 1573-7543 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qindong Sun | 1 | 25 | 9.59 |
| Yimin Qiao | 2 | 0 | 0.34 |
| Hongyi Zhou | 3 | 0 | 0.34 |
| Jiamin Wang | 4 | 0 | 0.34 |
| Nan Wang | 5 | 93 | 27.47 |