Search Results - (( decision using data processing ) OR ( decision ((missing data) OR (using data)) processing ))

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  1. 1
    Optimizing skyline query processing in incomplete data

    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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  2. 2
    Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines

    Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines by Ahmad, Rosmaini

    Published 2012
    “…This literature finding can be argued according to the three application criteria; data required and collection, data analysis/modelling and decision process. …”
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  3. 3
    Skyline queries computation on crowdsourced- enabled incomplete database

    Skyline queries computation on crowdsourced- enabled incomplete database by Swidan, Marwa B., Alwan, Ali A., Turaev, Sherzod, Ibrahim, Hamidah, Abualkishik, Abedallah Zaid, Gulzar, Yonis

    Published 2020
    “…This process aims at reducing the number of values to be estimated using the crowd when local estimation is inappropriate. …”
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  4. 4
    Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model

    Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model by Mohd Jaya, Mohd Izham, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, A. Jabar, Marzanah

    Published 2019
    “…In portfolio management, asset valuation prediction model is used to aid the decision making process. Additionally, we adopted MissForest method in the OFFDM which aim to improve the OFFDM. …”
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  5. 5
    Data Cleaning in Knowledge Discovery Database (KDD)-Data Mining

    Data Cleaning in Knowledge Discovery Database (KDD)-Data Mining by Fauziah Abdul Rahman, Mohammad Ishak Desa, Antoni Wibowo, Norhaidah Abu Haris

    Published 2014
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  6. 6
    Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan

    Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan by Muhammad Sadiq , Khan

    Published 2018
    “…Uncertain data cannot be processed by using the regular tools and techniques of clear data. …”
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  7. 7
    An enhanced robust association rules method for missing values imputation in Arabic language data set

    An enhanced robust association rules method for missing values imputation in Arabic language data set by Salem, Awsan Thabet

    Published 2023
    “…In data quality, missing values is one form of data completeness problem faced by people who deal with data. …”
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  8. 8
    Development of an imputation technique - INI for software metric database with incomplete data

    Development of an imputation technique - INI for software metric database with incomplete data by Wasito, Ito, Olanrewaju, Rashidah F.

    Published 2007
    “…This technique was used for estimating missing data in a software engineering database (PROMISE). …”
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  9. 9
    Skyline queries computation on crowdsourced- enabled incomplete database

    Skyline queries computation on crowdsourced- enabled incomplete database by Swidan, Marwa, Aljuboori, Ali A.Alwan, Turaev, Sherzod, Ibrahim, Hamidah, Zaid Abualkishik, Abedallah, Gulzar, Yonis

    Published 2020
    “…This process aims at reducing the number of values to be estimated using the crowd when local estimation is inappropriate. …”
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  10. 10
    Towards personalized intensive care decision support using a Bayesian network: A multicenter glycemic control study

    Towards personalized intensive care decision support using a Bayesian network: A multicenter glycemic control study by Abu-Samah A., Razak N.N.A., Suhaimi F.M., Jamaludin U.K., Chase J.G.

    Published 2023
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  11. 11
    Big data analytics and its role in election – a case study on Malaysia General Election 15 / An Nur Misha Badrul Kahar, Nur Ain Samsuddin and Nur Syakirah Salihin

    Big data analytics and its role in election – a case study on Malaysia General Election 15 / An Nur Misha Badrul Kahar, Nur Ain Samsuddin and Nur Syakirah Salihin by Badrul Kahar, An Nur Misha, Samsuddin, Nur Ain, Salihin, Nur Syakirah

    Published 2023
    “…Questionnaires were distributed to the selected sample size to collect respondents' preferences. The collected data underwent a data cleansing process to identify missing or erroneous data. …”
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  12. 12
    Diagnosis of Coronary Artery Disease Using Artificial Intelligence Based Decision Support System

    Diagnosis of Coronary Artery Disease Using Artificial Intelligence Based Decision Support System by SETIAWAN, NOOR AKHMAD

    Published 2009
    “…RST rule inq'u ction is applied to ANNRST imputed data sets. Numerical values are discretized using Boolean reasoning method. …”
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  13. 13
    Efficient skyline query processing in incomplete graph databases using machine learning techniques

    Efficient skyline query processing in incomplete graph databases using machine learning techniques by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

    Published 2025
    “…Processing skyline queries in such massive, incomplete graphs is computationally intensive due to missing values and high-dimensional data. …”
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  14. 14
    A systematic review of recurrent neural network adoption in missing data imputation

    A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

    Published 2025
    “…It is often resulting from human error, system faults, and respondent non-response. Failing to address missing data can lead to inaccurate results during data analysis, as incomplete data sequences introduce biases and compromise the distribution of the synthesized data, and cause a negative impact on the decision-making process. …”
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  15. 15
    GNN-based skyline query processing for large-scale and incomplete graphs

    GNN-based skyline query processing for large-scale and incomplete graphs by Adzman, Hasan Khair, Hassan, Raini, Dwi Handayani, Dini Oktarina

    Published 2026
    “…Skyline queries are crucial in database management, selecting optimal points from multi-dimensional datasets based on dominance relationships. They are widely used in decision-making, recommendation systems, and data filtering. …”
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  16. 16
    Facilitate risk management in construction process by using hierarchical risk breakdown structure

    Facilitate risk management in construction process by using hierarchical risk breakdown structure by Chaher, Zid Chaher, Soomro, Ali Raza

    Published 2016
    “…But eventually, these methods have showed up a weak and sometimes a fatal data missing which may lead to affect directly on the risk management and success of project. …”
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  17. 17
    Petroleum reservoir analogues

    Petroleum reservoir analogues by Ganat, T.A.-A.O.

    Published 2020
    “…Therefore, the technical team, geologist and reservoir engineers must evaluate all accessible data types such as seismic, well logs, well testing, production data, cores and analogues data available, to make the best technical and business decisions in exploration and production operations process. …”
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  18. 18
    The importance of human capital perspective in the learning management system (LMS) decision making process at universities

    The importance of human capital perspective in the learning management system (LMS) decision making process at universities by Khairudin, Norhaiza, Khairudin, Rozainee, Abdul Hamid, Mohd Noor, Hancock, Phillip, McGill, Tanya, Ahmad Zamani, Zainah

    Published 2016
    “…A descriptive coding method using thematic analysis was used for the data coding. …”
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  19. 19
    The importance of human capital perspective in the Learning Management System (LMS) decision making process at universities

    The importance of human capital perspective in the Learning Management System (LMS) decision making process at universities by Norhaiza Khairudin, Rozainee Khairudin, Mohd Noor Abdul Hamid, Hancock, Philip, McGill, Tanya, Zainah Ahmad Zamani

    Published 2016
    “…A descriptive coding method using thematic analysis was used for the data coding. …”
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  20. 20
    Intelligent Iraqi Health System (IIHS) using Online Analytical Process (OLAP) model

    Intelligent Iraqi Health System (IIHS) using Online Analytical Process (OLAP) model by Khraibet, Hayder Naser, Mousa, Ayad Hameed, Abu Bakar, Muhamad Shahbani

    Published 2013
    “…Intelligent Iraqi Health System (IIHS) is an intelligence system using a set of methodologies, architectures, processes, and business intelligence technology.These technologies integrate huge amounts of right data and present the information in the given time.IIHS analyzes the data from operational systems into meaningful and useful information by using data warehousing technologies.The main function of IIHS technology is to produce analytical report, which helps the management make right decision making. …”
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