[PDF] Top 20 Retrieving Datasets with Nearest Neighbor Search using Spatial Queries
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Retrieving Datasets with Nearest Neighbor Search using Spatial Queries
... geographic search engine has been receiving a lot of attention from ...conventional search engines, In order to quickly return documents of high relevance in both textual and spatial aspects to a ... See full document
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FAST NEAREST NEIGHBOR SEARCH WITH KEYWORDS
... answer spatial keyword ...a search engine that is able to efficiently support novel forms of spatial queries that are integrated with keyword ...such queries either incur prohibitive ... See full document
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Fast Nearest Neighbor Search With Keywords
... real nearest neighbor lies quite faraway from the query point, while all the closer neighbors are missing at least one of the query ...keywords. Spatial queries with keywords have not been ... See full document
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Fast Nearest Neighbor Search with Keywords Using IR2-Tree
... of search engines has made it realistic to write spatial queries in a brand new ...Conventionally, queries focus on objects’ geometric properties only, such as whether a point is in a ... See full document
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Analysis on Fast Nearest Neighbor Search with Keywords
... Spatial queries with keywords have not been extensively ...keyword search in relational ...for nearest neighbor search with keywords is due to Felipe et ...popular spatial ... See full document
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Nearest Keyword Set Search In multidimensional Datasets
... of nearest neighbor search on spatial data and keyword search on text data have been extensively studied ...answer spatial keyword queries, that is, queries that ... See full document
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Keyword Search for Quick Finding of Nearest Neighbor
... of search engines has made it realistic to write spatial queries in a brand new ...Conventionally, queries focus on objects’ geometric properties only, for instance whether a point is in a ... See full document
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Nearest Keyword Set Search in Multidimensional Datasets
... dimensions nearest neighbor queries become unstable: the difference of the distances of farthest and nearest points to some query point does not increase as fast as the minimum of the two, ... See full document
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Survey of Efficient and Fast Nearest Neighbor Search For Spatial Query on Multidimensional Data
... collective spatial keyword query, the combined notion of keyword search with reverse nearest neighbor query, hybrid indexing structure bR*-tree, efficient method to answer top-k spatial ... See full document
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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, 64, 5, 107, ... See full document
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OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain
... to search WMSN data efficiently over blockchain ...approximate nearest neighbor binary query for querying binary hybrid data in the form of WMSN multimedia data (containing two hybrid types of data, ... See full document
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IJCSMC, Vol. 2, Issue. 12, December 2013, pg.278 – 282 RESEARCH ARTICLE A STUDY ON PATH AND DISTANCE BASED QUERY PROCESSING IN MOBILE SYSTEMS
... the search space. The solution to several variations of VRNN queries, including: 1) visible reverse k-nearest neighbor (VRkNN) search, which finds the points in P that have q as one of ... See full document
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Keyword Search For Nearest Neighbor Using IR 2 - TREE
... Conventional spatial queries, such as range search and nearest neighbour retrieval, involve only conditions on objects’ geometric ...of queries that aim to find objects satisfying both ... See full document
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Quick Search of the Nearest Neighbor with Words
... Like R-trees, the IR2 - tree preserves objects’ spatial proximity, which is the key to solving spatial queries efficiently. On the other hand, like signature files, the IR2 -tree is able to filter a ... See full document
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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 would allow ... See full document
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Nearest Neighbor Search with Keywords Using Spatial Inverted Index
... of nearest neighbor queries which is constrained by the properties of spatial ...Keyword search is very popular on the internet so these applications allow users to give list of ... See full document
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Nearest Neighbor Search with Keywords in Spatial Databases
... the spatial inverted index that extends the conventional inverted index to cope with multidimensional data, and comes with algorithms that can answer nearest neighbor queries with keywords in ... See full document
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Steam Based Multimedia Willing Security Scheme
... range search may be deployed to find all eating places in a sure region, while nearest neighbor retrieval can discover the eating place closest to a given ...guide queries that combine ... See full document
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Fast Concept Mention Grouping for Concept Map based Multi Document Summarization
... et al. (2017) further induce a transitive relation from the predictions to obtain a valid partitioning of M . They note that simply ignoring conflicting negative classifications by building the transitive closure over ... See full document
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Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
... 3. src-tgt.txt is a full dictionary that includes the above two dictionaries and much more src-to- tgt translations. In later experiments, we will use it as a large test dictionary by excluding from it the items in ... See full document
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