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

Refine Results
  1. 1

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    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. …”
    Get full text
    Get full text
    Thesis
  3. 3

    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. …”
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4

    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. …”
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    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. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10

    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. …”
    Get full text
    Get full text
    Get full text
    Book Section
  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 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. …”
    Get full text
    Get full text
    Student Project
  12. 12

    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. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    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. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    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. …”
    Get full text
    Get full text
    Thesis
  15. 15

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16

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

    Published 2016
    “…Risk management is an important part of the decision-making process in construction project management, particularly regarding the project’s integration, scope, time, cost, quality, human resources, communications and procurement. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    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. …”
    Get full text
    Get full text
    Article
  18. 18

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

    Published 2017
    “…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. …”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

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

    Published 2012
    “…It can be mentioned that factors influencing between internet service of all Broadband Services providers in Songkhla Province in Thailand, quality, speed of internet and price are influential for the decision making process of the customers to select the Broadband Services providers in Songkhla Province in Thailand. …”
    Get full text
    Get full text
    Get full text
    Thesis
  20. 20

    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. …”
    Get full text
    Get full text
    Get full text
    Book Chapter