1. D. Caragea, Learning Classifiers from Distributed, Semantically Heterogeneous, Autonomous Data Sources, PhD Thesis, Iowa State University, 2004.
2. Creating ensembles of classifiers;Chawla;IEEE Int. Conf. Data Min.,2001
3. Feature selection algorithm for multiple classifier systems: a hybrid approach;Delimata,2008
4. M. Ester, H. Kriegel, J. Sander, X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, in: Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining, Portland, 1996, pp. 226–231.
5. A comparative study of game theoretic and evolutionary models of bargaining for software agents;Fatima;Artif. Intell. Rev.,2005