Author:
Agarwal Nitin,Haque Ehtesham,Liu Huan,Parsons Lance
Publisher
Springer Berlin Heidelberg
Reference22 articles.
1. Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic subspace clustering of high dimensional data for data mining applications. In: Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, pp. 94–105. ACM Press, New York (1998)
2. Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (1998)
3. Cheng, C.-H., Fu, A.W., Zhang, Y.: Entropy-based subspace clustering for mining numerical data. In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge discovery and data mining, pp. 84–93. ACM Press, New York (1999)
4. Demiriz, A.: Enhancing product recommender systems on sparse binary data. Data Min. Knowl. Discov. 9(2), 147–170 (2004)
5. Deshpande, M., Karypis, G.: Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst. 22(1), 143–177 (2004)
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献