%0 Journal Article %1 journals/nca/AhmedASAK20 %A Ahmed, Mahreen %A Afzal, Hammad %A Siddiqi, Imran %A Amjad, Muhammad Faisal %A Khurshid, Khawar %D 2020 %J Neural Comput. Appl. %K dblp %N 8 %P 3237-3251 %T Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry. %U http://dblp.uni-trier.de/db/journals/nca/nca32.html#AhmedASAK20 %V 32

@article{journals/nca/AhmedASAK20, added-at = {2020-09-10T00:00:00.000+0200}, author = {Ahmed, Mahreen and Afzal, Hammad and Siddiqi, Imran and Amjad, Muhammad Faisal and Khurshid, Khawar}, biburl = {https://www.bibsonomy.org/bibtex/253971ce6792b797e0e915d2167d17264/dblp}, ee = {https://doi.org/10.1007/s00521-018-3678-8}, interhash = {1cf0ba2114dff024e6d7baa77f567101}, intrahash = {53971ce6792b797e0e915d2167d17264}, journal = {Neural Comput. Appl.}, keywords = {dblp}, number = 8, pages = {3237-3251}, timestamp = {2020-09-11T11:37:57.000+0200}, title = {Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry.}, url = {http://dblp.uni-trier.de/db/journals/nca/nca32.html#AhmedASAK20}, volume = 32, year = 2020 }