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Toplam kayıt 186, listelenen: 181-186
A novel shilling attack detection method
(Elsevier Science BV, 2014)
Recommender systems provide an impressive way to overcome information overload problem. However, they are vulnerable to profile injection or shilling attacks. Malicious users and/or parties might construct fake profiles ...
Privacy-Preserving Collaborative Filtering on Overlapped Ratings
(IEEE Computer Soc, 2013)
To promote recommendation services through prediction quality, there are some privacy-preserving collaborative filtering (PPCF) solutions enabling e-commerce parties to collaborate on partitioned data. It is almost probable ...
Similar or Dissimilar Users? Or Both?
(IEEE Computer Soc, 2009)
E-commerce sites utilize collaborative filtering (CF) techniques to offer recommendations to their customers. To recruit new customers and keep the current ones, it is imperative for online vendors to provide accurate ...
Modeling and prediction with a class of time delay dynamic neural networks
(Elsevier Science BV, 2007)
In this paper, we propose a time delay dynamic neural network (TDDNN) to track and predict a chaotic time series systems. The application of artificial neural networks to dynamical systems has been constrained by the ...
A Fuzzy Wavelet Neural Network Model for System Identification
(IEEE, 2009)
In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part ...
Time delay dynamic fuzzy networks for time series prediction
(Springer-Verlag Berlin, 2005)
This paper proposes a Time Delay Dynamic Fuzzy Network (TDDFN) that can be used for tracking and prediction of chaotic time series. TDDFN considered here has unconstrained connectivity and dynamical elements in its fuzzy ...