[PDF] Top 20 A Survey on K-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data
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A Survey on K-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data
... their data particularly in the way they store, access and process ...their data to the ...When data are highly sensitive, the data need to be encrypted before outsourcing to the ...when ... See full document
5
K-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data
... ABSTRACT: Data Mining has wide applications in many areas such as banking, medicine, scientific research and among government ...agencies. Classification is one of the commonly used tasks in data ... See full document
7
Enhancement in Classification of Semantically Secure Encrypted Data
... the data clustering this algorithm firstly proposed by the Peter Kriegel , Martin Ester Hans-,Jörg Sander and Xiaowei Xu in the year of ...density data also in large density data access is the major ... See full document
5
AES Based Classification over Semantically Secured Encrypted Relational Data in Cloud
... Privacy-Preserving Data Mining (PPDM) (either perturbation or Secure Multi-Party Computation (SMC) based approach) cannot solve the DMED ...Perturbed data do not possess semantic security, so ... See full document
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PRIVACY PRESERVING TECHNIQUE USING K-NN CLASSIFICATION IN OUTSOURCES ENVIRONMENT
... novel secure k-nearest neighbor query protocol over encrypted data that protects data confidentiality, user’s query privacy, and hides data access ...namely ... See full document
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Secure Encrypted Relational Data with using K Nn Classification Bhaskar S & D Beulah Pretty
... the classification drawback since it's one among the foremost common data processing ...every classification technique has their own advantage, to be concrete, this paper concentrates on capital ... See full document
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Secure K Nearest Regional Query In Excess of Semantically Protected Encrypted Relational Data S Md Ismail, Mr Mohd Anwar Ali & Vankudoth Saidulu
... develop data-management strategies to reduce reliance on expensive operations such as ...census data, we show the resulting al- gorithm can find optimal anonymizations under two rep- resentative cost ... See full document
6
An Efficient Fuzzy Logic Classification over Semantically Secure Encrypted Data
... ABSTRACT: Data mining is the method of extraction of hidden and useful information from huge ...massive data sets. Classification is one of the ordinarily used tasks in data mining ...the ... See full document
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Privacy Preserving and K Nearest Means Clustering over Relational Data
... queries over encrypted data [2], [3]. For one, the intermediate k- nearest neighbors in the classification process, should not be disclosed to the cloud or any ...the k- ... See full document
5
Privacy Preserving Classification over Semantically Secure Encrypted Relational Data in Cloud Environment
... of nearest neighbors (k) from 5 to ...as, K=512 and ...For K=512, SDkNCL takes 14.7 minutes to 57.5 minutes when k is change from 5 to 20, ...with k. Fig. 1 shows this linear ... See full document
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K-Nearest Neighbor Classification Mechanism of Secure Encrypted Relational Data
... issue over scrambled information. Specifically, we propose a protected k-NN classifier over encoded information in the ...proposed k-NN convention secures the classification of the ... See full document
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Title: AN ADVANCE APPROACH IN CLUSTERING HIGH DIMENSIONAL DATA
... grouping data objects into a tree of ...the data space that are separated by regions of low ...dimensional data, a new algorithm which is based on combination of kernel mappings [7] and hubness ... See full document
5
Pruned fuzzy K nearest neighbor classifier for beat classification
... beat classification that can offer reduced computational complexity and simple incremental ...the data effi- ciently in less computational time without compromising the accuracy of the ...beat ... See full document
10
Performance Evaluation of SVM and K Nearest Neighbor Algorithm over Medical Data set
... of data to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule ...the data which ... See full document
5
A Hybridized Model for Efficient Query-Dependent Ranking and Information Retrieval in Large Databases
... K-nearest neighbor has a major drawback when used to retrieve information alone. This is because the greater percentage of its computation usually takes place after the query has been submitted to ... See full document
10
Exact fuzzy k Nearest neighbor classification for big datasets
... the nearest neighbors and obtain the final k closest ...training data. Thus, each map obtain k candidates to be the k closest ...final k neighbors and then it will classify with ... See full document
6
Pseudometrics for Nearest Neighbor Classification of Time Series Data
... the k -NN algorithm is easy to implement by computing the distances from the test sample to all stored vectors, but it is computationally intensive, especially when the size of the training set is ...scale ... See full document
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Nearest Neighbor Voting in High Dimensional Data: Learning from Past Occurrences
... Prof. Dr. Dunja Mladeni ´c works as a researcher and a project manager at J. Stefan Institute, leading Artificial Intelligence Laboratory and teaching at J. Stefan International Postgraduate School. She is an expert on ... See full document
22
OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain
... (2) For the OPR method for Hamming space, it is difficult to directly define its multi-probe version. As a result, we use the feature hashing approach convert it to a feature vector through an intermediate mapping. The ... See full document
14
Nearest Neighbor Classification with Locally Weighted Distance for Imbalanced Data
... parameters k and I. It first finds the k nearest neighbor of the query instance, and then among them it finds the I most informative ...of k and I have very less effect on the final ... See full document
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