S. Güden And U. T. GÜRSOY, "Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis," ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects , vol.7987, New York, United States Of America, pp.127-136, 2013
Güden, S. And GÜRSOY, U. T. 2013. Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis. ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects , (New York, United States Of America), 127-136.
Güden, S., & GÜRSOY, U. T., (2013). Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis . ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects (pp.127-136). New York, United States Of America
Güden, Serhat, And Umman Tuğba GÜRSOY. "Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis," ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects, New York, United States Of America, 2013
Güden, Serhat And GÜRSOY, Umman T. . "Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis." ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects , New York, United States Of America, pp.127-136, 2013
Güden, S. And GÜRSOY, U. T. (2013) . "Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis." ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects , New York, United States Of America, pp.127-136.
@conferencepaper{conferencepaper, author={Serhat Güden And author={Umman Tuğba GÜRSOY}, title={Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis}, congress name={ICDM'13 - 13th International Conference on Advances in Data Mining: Applications and Theoretical Aspects}, city={New York}, country={United States Of America}, year={2013}, pages={127-136} }