Search Results - ((((query processing) OR (pre processing))) OR (((_ processing) OR (data processing))))
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PS+Pre/Post: a novel structure and access mechanism for wireless XML stream supporting twig pattern queries
Published 2014“…However, existing indexing methods cannot process twig pattern XML queries. In this paper, we propose a novel structure for streaming XML data called PS+Pre/Post by integrating the path summary technique and the pre/post labeling scheme. …”
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The Design of Pre-Processing Multidimensional Data Based on Component Analysis
Published 2011“…RapidMiner is used for data pre-processing using FastICA algorithm. Kernel K-mean is used to cluster the pre-processed data and Expectation Maximization (EM) is used to model. …”
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System for retrieving similar sentences from Malay translation of the Al-Quran / Nur Farhana Rasip
Published 2019“…The first process was pre-processing the data and used Bigram Language Model to retrieve similar sentences. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…Since analytical queries are complex and take a long time to be processed under normal circumstance, there is a need for a strategy to improve the speed of such queries. …”
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Adaptive model for semantic question answering disambiguation over linked data
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Efficient XML queries and updates encoding scheme in the presence of access control using fractional numbers
Published 2013“…Our proposed XML encoding and labeling scheme is able to determine the structural relationships between two arbitrary XML nodes in the XML tree and to eliminate the process of re-labeling pre-existing nodes during the process of XML updating. …”
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7
User interestingness for pre-fetching in mobile environment
Published 2011“…Due to this complication, new method is introduced where it requires data mining technique to improve the pre-fetching process. …”
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Hadoop MapReduce's InputSplit based Indexing for Join Query Processing
Published 2019“…The use of indexing on Hadoop and its abstractions have resulted in improved performance when processing queries. However, even with the use of some of the indexing approaches, the processing of join query indicates higher overhead, except when the amount of data to processed is reduced by the indexing techniques before the query processing even get started. …”
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K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
Published 2018“…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
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Distributed Join Query Processing for Big RDF Data
Published 2018“…Finally, we offer an evaluation discussion on distributed join query processing for big RDF data.…”
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Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique
Published 2021“…To address this problem, a Join Query Processing Model (JQPro) is introduced for Big RDF data. …”
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A systematic literature review of skyline query processing over data stream
Published 2023“…Although an abundance of skyline query processing techniques have been proposed, there is a lack of a Systematic Literature Review (SLR) on current research works pertinent to skyline query processing over data stream. …”
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Optimizing skyline query processing in incomplete data
Published 2019“…Hence, missing data pose new challenges if the processing skyline queries cannot easily apply those methods that are designed for complete data. …”
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Processing skyline queries in incomplete distributed databases
Published 2016“…In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. …”
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Processing skyline queries in incomplete database: issues, challenges and future trends
Published 2017“…Besides, we also discuss in detail the current challenges in processing skyline queries in the incomplete database and investigate the impact of incomplete data on skyline operation. …”
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Keyword query processing interface model of ontological natural language manipulation
Published 2010“…The process of manipulating both type of natural language (NL) queries are supported by Ontologies. …”
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Efficient top-k continuous query processing over sliding window model (SWM) method on uncertain data stream
Published 2024“…Query processing using the Uncertain Data Stream (UDS) can be complex in many technological scenarios due to inconsistencies, unclear information, and interpretation latency. …”
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A systematic literature review of skyline query processing over data stream
Published 2023“…Although an abundance of skyline query processing techniques have been proposed, there is a lack of a Systematic Literature Review (SLR) on current research works pertinent to skyline query processing over data stream. …”
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Processing skyline queries in incomplete distributed databases
Published 2016“…In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. …”
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Information fusion of text and visual features for multi-modality medical information retrieval / Hizmawati Madzin
Published 2013“…Multi-modality Medical Information Retrieval System (M3IRS) text-based framework consists of four main components which are document pre-processor, query processor, retrieval process and ranking strategies. …”
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