Name
Title | ||
|---|---|---|
Research on Data Mining Algorithms for Automotive Customers' Behavior Prediction Problem |
Abstract | ||
|---|---|---|
This paper extracts automotive marketing information, constructs data warehouse, adopts an improved ID3 decision tree model and an association rule model to do data mining, and then obtains prediction information of automotive customers' behavior. Experimental and comparative results verify the validity and accuracy of the prediction results. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICMLA.2008.23 | ICMLA |
Keywords | Field | DocType |
id3 decision tree model,time-series segmentation,automotive customers,data warehouses,fundamental problem,data mining algorithms,data warehouse,bayesian approach,automotive customers' behavior prediction,linear gaussian,automotive marketing information extraction,segmentation model,behavior prediction problem,behavioural sciences computing,unsupervised scenario,association rule model,automotive customer behavior prediction problem,data mining,decision tree model,decision trees,automotive engineering,association rule,association rules,decision tree,data models,classification algorithms | Data warehouse,Decision tree,Data modeling,Data mining,Computer science,Decision tree model,Association rule learning,Artificial intelligence,ID3,Statistical classification,Machine learning,Automotive industry | Conference |
ISBN | Citations | PageRank |
978-0-7695-3495-4 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huang Lan | 1 | 10 | 13.31 |
| Chunguang Zhou | 2 | 543 | 52.37 |
| Yu-qin Zhou | 3 | 0 | 0.34 |
| Zhe Wang | 4 | 1 | 0.71 |