Outsourcing of Secure k-Nearest Neighbours Interpolation Method
نویسندگان
چکیده
منابع مشابه
Efficient Secure k-Nearest Neighbours over Encrypted Data
Enterprise customers of cloud services are wary of outsourcing sensitive user and business data due to inherent security and privacy concerns. In this context, storing and computing directly on encrypted data is an attractive solution, especially against insider attacks. Homomorphic encryption, the keystone enabling technology is unfortunately prohibitively expensive. In this paper, we focus on...
متن کاملSemantic Text Categorization using the K Nearest Neighbours Method
In this paper we investigate the influence of semantics in the text categorization. Moreover, we study how the vocabulary size reduction affects this task. The K Nearest Neighbours method was used to perform the categorization. In order to reduce the vocabulary size, the Information Gain technique was employed. A number of different document codification alternatives were tested. The experiment...
متن کاملA K-nearest neighbours method based on imprecise probabilities
K-nearest neighbours algorithms are among the most popular existing classification methods, due to their simplicity and their good performances. Over the years, several extensions of the initial method have been proposed. In this paper, we propose a K-nearest neighbours approach that uses the theory of imprecise probabilities, and more specifically lower previsions. We show that the proposed ap...
متن کاملPresentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition
Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...
متن کاملPresentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition
Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2018
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2018.090446