Name
Abstract | ||
|---|---|---|
We can find potential relationship behind the data by data mining for e-commerce, so adjust dynamically web page structure, improve service, and meet better consumer demand. This paper discusses the data resources used by data mining in e-commerce and their characteristics, gives the basic process of data mining, analysing e-commerce data mining techniques used, at last points out the current problems to be solved, which gives a better foundation for further research. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICEE.2010.1079 | ICEE |
Keywords | Field | DocType |
association rules,last point,current problem,e-commerce data mining technique,data resources,e-commerce,web page structure,multi-agent system,data mining,better consumer demand,better foundation,data resource,electronic commerce,data mining technique,consumer demand,basic process,dynamically web page structure,potential relationship,algorithm design and analysis,internet,multi agent system,clustering algorithms,association rule,web pages,e commerce | Data mining,Data stream mining,Web page,Computer science,Data pre-processing,Association rule learning,Mining feasibility study,Cluster analysis,Database,E-commerce,The Internet | Conference |
ISBN | Citations | PageRank |
978-0-7695-3997-3 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dao-Quan Li | 1 | 2 | 1.47 |
| Hua Yang | 2 | 16 | 8.81 |
| Li-li Li | 3 | 1 | 1.04 |