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  1. 1

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

    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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    Thesis
  2. 2

    Development of near-infrared hyperspectral-based smart interface for glutinous rice quality detection by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

    Published 2025
    “…The tool simplifies the HSI data processing and glutinous rice quality prediction, featuring data upload, preprocessing, model execution and result visualization through a click-and-run button. …”
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    Article
  3. 3

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

    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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  4. 4

    Process analysis of mercury adsorption onto chemically modified rice straw in a fixed-bed adsorber by Song, S.-T., Hau, Y.-F., Saman, N., Johari, K., Cheu, S.-C., Kong, H., Mat, H.

    Published 2016
    “…The adsorption isotherm data were best fitted to the Langmuir isotherm model, while the breakthrough data were found to be in good agreement with the Thomas and Yoon-Nelson models. …”
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    Article
  5. 5

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

    Published 2018
    “…Finally, we offer an evaluation discussion on distributed join query processing for big RDF data.…”
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  6. 6

    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

    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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    Article
  7. 7

    Keyword query processing interface model of ontological natural language manipulation by Hasany, Syed Muhammad Noman

    Published 2010
    “…The process of manipulating both type of natural language (NL) queries are supported by Ontologies. …”
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    Thesis
  8. 8

    Processing skyline queries in incomplete database: issues, challenges and future trends by Gulzar, Yonis, Aljuboori, Ali A.Alwan, Salleh, Norsaremah, Alshaikhli, Imad Fakhri Taha

    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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    Article
  9. 9

    Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique by Nahla Mohammedelzein, Elawad Babiker

    Published 2021
    “…To address this problem, a Join Query Processing Model (JQPro) is introduced for Big RDF data. …”
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    Thesis
  10. 10
  11. 11

    Optimizing skyline query processing in incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Turaev, Sherzod

    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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    Article
  12. 12

    Processing skyline queries in incomplete distributed databases by Alwan, Ali Amer, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah

    Published 2016
    “…In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. …”
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    Article
  13. 13

    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

    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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    Article
  14. 14

    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

    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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    Article
  15. 15

    Preparation and characterization of nanosilica rice husk ash (RHA)/linear low density polyethylene (LLDPE) composites / Yusnita Yaacob by Yaacob, Yusnita

    Published 2014
    “…The investigation was successful in providing such interesting set of data for a new class of nanomaterial obtained from rice husk ash powder.…”
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    Thesis
  16. 16

    Processing skyline queries in incomplete distributed databases by Alwan, Ali Amer, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah

    Published 2016
    “…In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. …”
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    Article
  17. 17

    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

    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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  18. 18

    A model for processing skyline queries over a database with missing data by Alwan, Ali Amer, Ibrahim, Hamidah, Udzir, Nur Izura

    Published 2015
    “…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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  19. 19

    An overview of query processing on crowdsourced databases by Swidan, Marwa, Alwan, Ali Amer, Gulzar, Yonis, Abualkishik, Abedallah Zaid

    Published 2020
    “…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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    Article
  20. 20

    Experimental comperative study between tabular and non tabular databases on halal supply chain system for poultry based product by Siti Noor Izatul Shafiqah, Zulkepli

    Published 2019
    “…The Query processing for each databases compared by measured the query processing time for database. …”
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    Undergraduates Project Papers