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

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  1. 1
    Novel mechanism to improve Hadith classifier performance

    Novel mechanism to improve Hadith classifier performance by Aldhlan, Kawther A., Zeki, Akram M., Zeki, Ahmed M., Alreshidi, Hamad

    Published 2012
    “…Whilst some attributes were indicated as null values, or missing values. A novel mechanism called missing data detector (MDD) was employed to handle these missing data. …”
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  2. 2
    Rough Set Significant Reduction and Rules of Intrusion Detection System

    Rough Set Significant Reduction and Rules of Intrusion Detection System by Noor Suhana, Sulaiman, Rohani, Abu Bakar

    Published 2016
    “…Intrusion Detection System deals with huge amount of data which contains irrelevant and redundant features causing slow training and testing process, also higher resource consumption as well as poor detection rate. …”
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  3. 3
    Enhanced mechanism to handle missing data of Hadith classifier

    Enhanced mechanism to handle missing data of Hadith classifier by Aldhlan, Kawther A., Zeki, Ahmed M., Zeki, Akram M.

    Published 2011
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  4. 4
    Improving knowledge extraction of Hadith classifier using decision tree algorithm

    Improving knowledge extraction of Hadith classifier using decision tree algorithm by Aldhaln, Kawther, Zeki, Akram M., Zeki, Ahmed M., Alreshidi, Hamad

    Published 2012
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  5. 5
    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
    “…The problem of missing values also led to a data quality problem which then resulted inaccurate decisions. …”
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  6. 6
    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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  7. 7
    Performance analysis of machine learning algorithms for missing value imputation

    Performance analysis of machine learning algorithms for missing value imputation by Ismail, Amelia Ritahani, Zainal Abidin, Nadzurah, Emran, Nurul Akmar

    Published 2018
    “…Data mining requires a pre-processing task in which the data are prepared,cleaned,integrated,transformed,reduced and discretized for ensuring the quality.Missing values is a universal problem in many research domains that is commonly encountered in the data cleaning process.Missing values usually occur when a value of stored data absent for a variable of an observation.Missing values problem imposes undesirable effect on analysis results,especially when it leads to biased parameter estimates.Data imputation is a common way to deal with missing values where the missing value’s substitutes are discovered through statistical or machine learning techniques. …”
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  8. 8
    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
    “…Most importantly, the skylines derived from incomplete databases are also incomplete in which some values are missing. Retrieving skylines with missing values is undesirable, particularly, for recommendation and decision-making systems. …”
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  9. 9
    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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  10. 10
    Performance analysis of machine learning algorithms for missing value imputation

    Performance analysis of machine learning algorithms for missing value imputation by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, Emran, Nurul Akmar

    Published 2018
    “…Missing values is a universal problem in many research domains that is commonly encountered in the data cleaning process. …”
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  11. 11
    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
    “…Missing data leads to loss of information, causes biasness in data analysis and hence results to inaccurate decision-making for project management and implementation. …”
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  12. 12
    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
    “…Most importantly, the skylines derived from incomplete databases are also incomplete in which some values are missing. Retrieving skylines with missing values is undesirable, particularly, for recommendation and decision-making systems. …”
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  13. 13
    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
    “…Soft sets with incomplete data cannot be used in applications. Few researchers have worked on data filling and recalculating incomplete soft sets, and the current research focuses on predicting missing values and decision values from non-missing data or aggregates. …”
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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
    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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  16. 16
    A Study on determinants of Customer Satisfaction Towards Broadband Services in Songkhla Province

    A Study on determinants of Customer Satisfaction Towards Broadband Services in Songkhla Province by Laeheem, Miss Fateemoh

    Published 2012
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  17. 17
    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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  18. 18
    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
    “…They are widely used in decision-making, recommendation systems, and data filtering. …”
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  19. 19
    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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  20. 20
    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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