Search Results - ((good processing) OR (((query processing) OR (((_ processing) OR (data processing))))))

Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian by Talebian, Seyed Hamid

“…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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Hadoop MapReduce's InputSplit based Indexing for Join Query Processing by Ahmad, R., Zakaria, M.N., Abdullahi, A.U.

“…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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Distributed Join Query Processing for Big RDF Data by Elzein, Nahla Mohammed, Mazlina, Abdul Majid, Fakherldin, Mohammed, Hashem, Ibrahim Abaker Targio

“…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 by Nahla Mohammedelzein, Elawad Babiker

“…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 by Mohamud, Mudathir Ahmed, Ibrahim, Hamidah, Sidi, Fatimah, Rum, Siti Nurulain Mohd, Dzolkhifli, Zarina Binti, Xiaowei, Zhang, Lawal, Ma’aruf Mohammed

“…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 by Gulzar, Yonis, Alwan, Ali Amer, Turaev, Sherzod

“…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 by Alwan, Ali Amer, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah

“…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 by Gulzar, Yonis, Aljuboori, Ali A.Alwan, Salleh, Norsaremah, Alshaikhli, Imad Fakhri Taha

“…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 by Hasany, Syed Muhammad Noman

“…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 by Wahab, Raja Azhan Syah Raja, Rum, Siti Nurulain Mohd, Ibrahim, Hamidah, Ishak, Iskandar

“…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 by Mudathir Ahmed, Mohamud, Hamidah D., Ibrahim, Fatimah, Sidi, Siti Nurulain, Mohd Rum, Zarina, Dzolkhifli, Xiaowei, Zhang, Lawal, Ma'aruf Mohammed

“…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 by Alwan, Ali Amer, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah

“…In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. …”
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A model for processing skyline queries over a database with missing data by Alwan, Ali Amer, Ibrahim, Hamidah, Udzir, Nur Izura

“…This paper proposed a model to process skyline queries for incomplete data with the aim of avoiding the issue of cyclic dominance in deriving skylines. …”
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An overview of query processing on crowdsourced databases by Swidan, Marwa, Alwan, Ali Amer, Gulzar, Yonis, Abualkishik, Abedallah Zaid

“…This paper surveys and examines the leading studies conducted on the area of query processing for both traditional and preference queries in crowd-sourcing databases. …”
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D-SKY: a framework for processing skyline queries in a dynamic and incomplete database by Gulzar, Yonis, Alwan, Ali Amer, Ibrahim, Hamidah, Xin, Qin

“…Processing skyline queries in incomplete data is challenging, particularly, for a database with dynamic contents in which the database is frequently updated. …”
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A skyline query processing approach over interval uncertain data stream with K-means clustering technique by Dzolkhifli, Zarina, Ibrahim, Hamidah, Sidi, Fatimah, Affendey, Lilly Suriani, Mohd Rum, Siti Nurulain, Alwan, Ali Amer

“…Only recently, a few methods have been proposed to process uncertain data stream, however data uncertainty in these works is restricted to objects having many instances. …”
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K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata by Md Shah, Wahidah, Othman, Mohd Fairuz Iskandar, Hussian Hassan, Ali Abdul, Talib, Mohammed Saad, Mohammed, Ali Abdul Jabbar

“…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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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

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A model for processing skyline queries in crowd-sourced databases by Swidan, Marwa, Alwan, Ali Amer, Turaev, Sherzod, Gulzar, Yonis

“…Therefore, an efficient approach processing skyline queries with partial incomplete data in crowd-sourcing database is needed. …”
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Efficient skyline query processing in incomplete graph databases using machine learning techniques by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

“…Processing skyline queries in such massive, incomplete graphs is computationally intensive due to missing values and high-dimensional data. …”
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