Search Results - (( decisions making data processing ) OR ( decision ((missing data) OR (using data)) processing ))
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Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines
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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Optimizing skyline query processing in incomplete data
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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Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model
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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Skyline queries computation on crowdsourced- enabled incomplete database
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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Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
Published 2018“…Uncertain data cannot be processed by using the regular tools and techniques of clear data. …”
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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
Published 2023“…Big data analytics involves analyzing large volumes of data to uncover trends and patterns for informed decision-making. …”
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Student Project -
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An enhanced robust association rules method for missing values imputation in Arabic language data set
Published 2023“…The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. …”
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Development of an imputation technique - INI for software metric database with incomplete data
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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Book Section -
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Skyline queries computation on crowdsourced- enabled incomplete database
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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The importance of human capital perspective in the learning management system (LMS) decision making process at universities
Published 2016“…This research examined how managers in universities incorporate non-financial measures in their Learning Management Systems decision-making processes and particularly focused on the importance of the Human Capital perspective in LMS decision making processes. …”
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The importance of human capital perspective in the Learning Management System (LMS) decision making process at universities
Published 2016“…This research examined how managers in universities incorporate non-financial measures in their Learning Management Systems decision-making processes and particularly focused on the importance of the Human Capital perspective in LMS decision making processes. …”
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A systematic review of recurrent neural network adoption in missing data imputation
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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Efficient skyline query processing in incomplete graph databases using machine learning techniques
Published 2025“…Skyline queries play a critical role in multi-criteria decision-making systems by retrieving non-dominated data points from large datasets. …”
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GNN-based skyline query processing for large-scale and incomplete graphs
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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Fuzzy rule-based approach with z-numbers in solving group multi-attribute decision making problems
Published 2021“…Multi-Attribute Decision Making (MADM) process is the most well-known branch of decision making and it is one of the most important tasks that have received a lot of attentions in many areas. …”
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A study of decision making process in crude palm oil trading: TH Plantations Berhad / Mohd Hafiz Zakaria
Published 2010“…As for this study, it expected that the THP decision making on selecting a buyer could be derive based on the decisions making process analysis. …”
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Student Project -
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Petroleum reservoir analogues
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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Supplier selection model for decision making in railway information system
Published 2022“…In today's world, the decision-making process is widely used as it facilitates decision-makers to perform strategized solutions for various kinds of scenarios in organizations. …”
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Supplier selection decision support model: a case study of Giant Hypermarket in Selangor / Raja Nazim Raja Abdullah
Published 2016“…Conflict of interest occurred when personal history is influenced by individual decision by decision makers. Hence, there are four types of multi criteria decision-making (MCDM) methods to solve decision problem and one of the decision models under MCDM is analytical hierarchy process (AHP), developed by Saaty (1980), is a tool for decision-making process continuously be the extensively decision-making theory to be employed. …”
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