Search Results - (( decision missing data processing ) OR ( decisions tracking data processing ))*
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Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model
Published 2019“…The problem of missing values also led to a data quality problem which then resulted inaccurate decisions. …”
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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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Performance analysis of machine learning algorithms for missing value imputation
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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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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An enhanced robust association rules method for missing values imputation in Arabic language data set
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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Operational design and modelling of fire event tracking system in wireless sensor networks
Published 2016“…Whenever the temperature in a premise increases, the system deploys cooperative centralized control functions to collect and process data statistics related to the fire. It exchanges direction, velocity, and/or position to take proper decision such as evacuating people from fire areas to a safe exit.…”
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Performance analysis of machine learning algorithms for missing value imputation
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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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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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“…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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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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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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GNN-based skyline query processing for large-scale and incomplete graphs
Published 2026“…They are widely used in decision-making, recommendation systems, and data filtering. …”
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Efficient skyline query processing in incomplete graph databases using machine learning techniques
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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TrashTrack
Published 2025“…The Arduino Uno R3 microcontroller serves as the primary hardware platform, interfacing with sensors and transmitting real-time data to a web-based monitoring dashboard. The software component processes and visualizes the collected data using tables and charts for easy interpretation. …”
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Air Traffic Controllers’ Decision-Making Processes and Conflict Resolution Strategies during Aircraft Arrivals
Published 2025“…Information gathered through observation were also compared with data collected from the semi-structured interviews to further understand the decision-making processes. …”
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Enhancing UX Design Through Eye-Tracking and Image Processing: Practical Insights and Applications
Published 2025“…This study investigates the intersection of eye-tracking and image processing, focusing on how insights derived from eye-tracking data can enhance UX design. …”
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E-Fibroid Patient Tracking System
Published 2004“…The objectives of e-Fibroid Patient Tracking System is to allow information on fibroid patients' to be generated, updated, archived, routed and used for decision making and strategic information analysis with the combined benefits of smart card to support mobility in a pocket coupled with the ubiquitous access which presents a new paradigm for medical information access system. …”
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Final Year Project
