k-nearest-neighbor queries
Reasonable Estimated K Nearest Neighbor Queries with Locality and Query Privacy
... (the usage of a few encoding methodology) previous to transmitting it to the lbs. an authorized consumer that possesses the name of the game transformation keys issues an encoded query to the lbs. both the database and ...
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Embedding k-Nearest Neighbor Queries into Relational Database Management Systems
... ă k ą ] construction means that k tuples must be returned from the corresponding select operator, and there is no way to specify whether k distinct values or k tuples is the expected ...for ...
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Abnormal Moving Object Detection Using Sparse Based Graph K Nearest Neighbour(SGk-NN)
... processing k-nearest neighbour queries is most important in moving object related ...of k-nearest neighbor Queries in centralized setting ...concurrent queries that ...
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Handling Multiple K Nearest Neighbor Query Verifications on Road Networks under Multiple Data Owners
... This paper studied the query verification problem for k- nearest-neighbor queries on road networks. The paper also implemented the Multiple Data Owners and Multiple Query services. While ...
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Züfle, Andreas (2013): Similarity search and mining in uncertain spatial and spatio-temporal databases. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... (k)-Nearest Neighbor (R(k)NN) queries on certain data have been studied for a long time [104, 173, 180, 185, 204, 206] including some work that I have been directly in- volved in ([108, ...
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Survey paper on query optimization techniques in the cloud
... of Nearest Neighbor (NN) queries, the central class of queries utilized as a part of a large number of the area based administrations, covering the query keeping in mind the end goal of this ...
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k-Expected Nearest Neighbor Search over Gaussian Objects
... commonest queries over location information, the distance-based nearest neighbor search, which finds closest objects to a given query point, has extensive applications in various ...extend ...
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KNN Query Processing 0f Secured Multi Data Owner Using Voronoi Diagram
... client queries the cloud service provider gives the encrypted result set with the help of private key client decrypts the ...network k-nearest- neighbor query verification technique is ...
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Retrieving Datasets with Nearest Neighbor Search using Spatial Queries
... The strength of IR-tree is ability to perform document searching a document, computational document relevance, and the document ranking in an integrated fashion. At this point, an IR-tree index both the documents of ...
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Nearest Neighbor Queries with Counting Aggregate-based Conditions
... similarity queries is the k-Nearest Neighbor query (k-NNq), which returns the k elements most similar to a given reference ...basic nearest neighbor search, which ...
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Spatio-Temporal Query Processing on Weighted Timestamp Data Environment
... Jestes et al. [12] study aggregate top-k queries on temporal data with a piecewise linear representation. The goal is to find the top-k objects with the highest aggregation scores in a given time ...
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Exact fuzzy k Nearest neighbor classification for big datasets
... the most effective methods in supervised learning problems. It classifies unseen cases comparing their similarity with the training data. Nevertheless, it gives to each labeled sample the same importance to classify. ...
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Generalized Mean Distance-based k Nearest Centroid Neighbor Classifier
... Non-parametric classifiers provide simple and effective strategies in pattern classification. Especially, the conventional k nearest neighbor (kNN) (Stevens et al., 1967) has been widely used in the ...
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Steam Based Multimedia Willing Security Scheme
... Effects on question efficiency: Allow us to start with the query overall performance with admire to the range of key phrases |wq|. For this reason, we will restoration the parameter k to ten, i.e., every question ...
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Location And Query Privacy In K Nearest Neighbour Queries
... So far, we have considered approximate consultations, for which there is an inherent compromise between the amount of POI disclosed and the accuracy of the results. The most popular POI increases the probability that one ...
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Well-organized Estimation of Range Aggregates against Uncertain Location-Based Queries
... We have described the limitation of expected distance, and the importance of calculating and representing the distance distribution between an uncertain object pair in queries and data mining applications. We have ...
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Pruned fuzzy K nearest neighbor classifier for beat classification
... Simple K-Nearest Neighbor (SKNN) classifier used in our previous work offers many advantages over other classifiers including simplicity and ease of parallel implementation, adaptability and online ...
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Evaluating the Performance of Dual Weighted K Nearest Neighbor Classifier
... This paper presents an attractive new dual weighted KNN algorithm based on attribute weighting as well as instance weighting technique. The proposed algorithm addresses the problems of KNN such as curse of ...
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A Deterministic K means Algorithm based on Nearest Neighbor Search
... proposed k- means++, a careful seeding for initial cluster centers to improve clustering ...for K-means algorithm using reverse nearest neighbor search and coupling degree was proposed by ...
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A Review on Plant Texture Analysis Using Leaf Images
... the nearest neighbour (1NN) and kNN classifiers, it can be found that the MMC classifier can not only save the storage space but also reduce the classification ...
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