Name
Title | ||
|---|---|---|
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. |
Abstract | ||
|---|---|---|
Clustering of customer transaction data is an important procedure to analyze customer behaviors in retail and e-commerce companies. Note that products from companies are often organized as a product tree, in which the leaf nodes are goods to sell, and the internal nodes (except root node) could be multiple product categories. Based on this tree, we propose the “personalized product tree”, named pu... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TKDE.2017.2763620 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | Field | DocType |
Clustering algorithms,Clustering methods,Measurement,Computational complexity,Companies,Knowledge discovery,Data engineering | Data mining,Market segmentation,Computer science,Metric (mathematics),Knowledge extraction,Information engineering,Artificial intelligence,Cluster analysis,Database transaction,Transaction data,Machine learning,Computational complexity theory | Journal |
Volume | Issue | ISSN |
30 | 3 | 1041-4347 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojun Chen | 1 | 1298 | 107.51 |
| Yixiang Fang | 2 | 227 | 23.06 |
| Min Yang | 3 | 155 | 41.56 |
| Feiping Nie | 4 | 7061 | 309.42 |
| Zhou Zhao | 5 | 773 | 90.87 |
| Joshua Zhexue Huang | 6 | 1365 | 82.64 |