Creat membership Creat membership
Sign in

Forgot password?

Confirm
  • Forgot password?
    Sign Up
  • Confirm
    Sign In
Creat membership Creat membership
Sign in

Forgot password?

Confirm
  • Forgot password?
    Sign Up
  • Confirm
    Sign In
Collection
For ¥0.57 per day, unlimited downloads CREATE MEMBERSHIP Download

toTop

If you have any feedback, Please follow the official account to submit feedback.

Turn on your phone and scan

home > search >

[IEEE 2011 International Conference on Management and Service Science (MASS 2011) - Wuhan, China (2011.08.12-2011.08.14)] 2011 International Conference on Management and Service Science - Research of Data Mining Technology in Electronic Commerce

Author:
Pan, QingChao  


Issue Date:
2011


Abstract(summary):

The characteristics of e-commerce are described. The function and technology of data mining are analyzed. The processes of data mining in electronic commerce are discussed. A new improved algorithm is proposed through analyzing the advantages and disadvantages of Fp-growth association rules mining. It is proved that the improved algorithm has higher efficiency and lesser memory cost than Fp-growth algorithm by the experimental results.


VIEW PDF

The preview is over

If you wish to continue, please create your membership or download this.

Create Membership

Similar Literature

Submit Feedback

This function is a member function, members do not limit the number of downloads