fast nearest neighbor search
Fast Nearest Neighbor Search With Keywords
... keyword-augmented nearest neighbor search in time that is at the order of dozens of ...commercial search engine that applies massive parallelism, implying its immediate industrial ...
7
Analysis on Fast Nearest Neighbor Search with Keywords
... typical search engine indexing algorithm. A goal of a search engine performance is to optimize the speed of the query: find the documents where word ...
5
Survey of Efficient and Fast Nearest Neighbor Search For Spatial Query on Multidimensional Data
... Chandrashekhar [5] has presented some features of data mining like fast analysis, complex data set, etc., and also has briefly presented data mining applications, operations, techniques and algorithms. The author ...
10
Fast Nearest Neighbor Search with Keywords Using IR2-Tree
... usual search engine indexing algorithms. A goal of a search engine presentation is optimize the speed of the ...1.1.2 Nearest neighbor search (NNS) ...
10
FAST NEAREST NEIGHBOR SEARCH WITH KEYWORDS
... keyword search on spatial ...keyword search and location-based search, the problem of supporting both types of search simultaneously has received little ...to search the resulting index ...
11
Nearest Neighbor Search with Keywords Using Spatial Inverted Index
... This method is used to retrieve a group of spatial web objects such that the query’s keywords are cover by group’s keywords and objects are near to the query location and have the lowest inter object distances. This ...
7
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 ...
6
A Deterministic K means Algorithm based on Nearest Neighbor Search
... cluster center. Arthur and Vassilvitskii [5] proposed k- means++, a careful seeding for initial cluster centers to improve clustering results. Recently, an initialization method for K-means algorithm using reverse ...
5
k-Expected Nearest Neighbor Search over Gaussian Objects
... distance-based nearest neighbor search, which finds closest objects to a given query point, has extensive applications in various ...extend nearest neighbor search over ...
11
Keyword Search For Nearest Neighbor Using IR 2 - TREE
... database search and Information Retrieval ...keyword search algorithm, which is inspired by the work of Hjaltason and Samet , exploits this information to locate the top query results by accessing a minimal ...
7
An Initialization Method for the K means Algorithm using RNN and Coupling Degree
... reverse nearest neighbor (RNN) search retrieves all points in a given data set whose nearest neighbor is a given query point ...
6
Presentation of a Parallel Algorithm for Nearest Neighbor Search on GPU Using CUDA
... Parallelism Nearest Neighbor Search Algorithm The aim is reducing runtime for nearest neighbor search algorithm using the technology of ...the nearest neighbor ...
5
Improving nearest neighbor classifier using tabu search and ensemble distance metrics
... Furthermore we hypothesise that these choices are best co- adapted, rather than learnt separately, as co-adaptation may permit implicit tackling of the problem of achieving ensem- ble diversity. In order to do this, and ...
9
Prediction of Student’s Performance based on Incremental Learning
... Generalised exemplars are the one which is representation of more than one of the actual instances in the training set. There are generalization methods such as nested, overlapped etc. Non-Nested Generalised Exemplars ...
7
Well-organized Estimation of Range Aggregates against Uncertain Location-Based Queries
... A fast and accurate distance computation between uncertain objects is important to many uncertain query evaluation ...and nearest-neighbor queries) and uncertain data mining tasks ...
7
ProtNN: fast and accurate protein 3D-structure classification in structural and topological space
... In the following, we evaluate the classification accuracy of P ROT NN on each of the six benchmark datasets using different numbers of nearest neighbors k ∈ [1,10]. For the sake of generalization, we perform the ...
17
Feature selection using intensified tabu search for supervised classification
... tabu search based algorithms for feature se- lection problems and have compared with other sequential feature selection ...Tabu search is refined with respect to traditional approaches: A feature ...
13
Title: A Practical Approach to Faster Spatial Queries with Keywords
... We planned a new method for professional neighboring state look for in a set of high-dimensional point. Our method is based on the precipitation of the solution freedom of any chance „nearest neighbor ...
8
#9 pdf
... or fast approximate similar- ity search [16], have been developed for efficient computation of k-nearest neighbor distance that make use of the structure in the data to avoid having to compute ...
11
Keyword Search for Quick Finding of Nearest Neighbor
... the nearest objects closest to a specified location that contains ...keyword search would instead searches the keywords and shows the nearest hotels that having those ...In nearest ...
7