Search Results - (( decisions ((making data) OR (mining data)) processing ) OR ( decision missing data processing ))

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

A framework for evaluating skyline queries over incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Salleh, Norsaremah, Alshaikhli, Imad Fakhri Taha, Alvi, Idrees Mairaj

“…Research interest in skyline queries has been significantly increased over the years, as skyline queries can be utilized in many contemporary applications, such as multi-criteria decision-making system, decision support system, recommendation system, data mining, and personalized systems. …”
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Development Of Output-Based Decision Support Maintenance Model (OBDSMM) For Production Machines by Ahmad, Rosmaini

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

“…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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Optimizing skyline query processing in incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Turaev, Sherzod

“…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 by Mohd Jaya, Mohd Izham, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, A. Jabar, Marzanah

“…The problem of missing values also led to a data quality problem which then resulted inaccurate decisions. …”
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Performance analysis of machine learning algorithms for missing value imputation by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, Emran, Nurul Akmar

“…Data mining requires a pre-processing task in which the data are prepared, cleaned, integrated, transformed, reduced and discretized for ensuring the quality. …”
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Soft sensor modelling for optimization of distribution control system in oil refineries by applying hybrid data mining techniques by Al Jlibawi, Ali Hussein Humod

“…The DCS system is the unit responsible for attaining and providing such data as daily reports for the process, to construct soft sensors utilizing past data from the laboratory observations/measurements and processes data. …”
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Skyline queries computation on crowdsourced- enabled incomplete database by Swidan, Marwa B., Alwan, Ali A., Turaev, Sherzod, Ibrahim, Hamidah, Abualkishik, Abedallah Zaid, Gulzar, Yonis

“…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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Multi-attribute decision-making based on soft set theory: a systematic review by Khameneh, Azadeh Zahedi, Kilicman, Adem

“…Multi-attribute decision-making (MADM) is a cognitive process for evaluating data under various attributes in order to find the best option in terms of the preferences of decision makers. …”
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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 by Badrul Kahar, An Nur Misha, Samsuddin, Nur Ain, Salihin, Nur Syakirah

“…Big data analytics involves analyzing large volumes of data to uncover trends and patterns for informed decision-making. …”
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Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan by Muhammad Sadiq , Khan

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

“…The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. …”
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Decision Making Tool for Process Hazard Evaluation and Risk Assessment During Preliminary Design Stage in Chemical Process Industry by Husin, M.F., Kamarden, H., Hassim, M.H., Ahmad, S.I., Mustafa, I.

“…During the design of the process, mainly the flow diagram of the process, errors may arise due to wrong decisions and basis made such as unsuitable process condition, construction material and etc., which will later cause problems to the following stages of the process lifecycle. …”
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Skyline queries computation on crowdsourced- enabled incomplete database by Swidan, Marwa, Aljuboori, Ali A.Alwan, Turaev, Sherzod, Ibrahim, Hamidah, Zaid Abualkishik, Abedallah, Gulzar, Yonis

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

“…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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Data Mining for Education Decision Support: A Review by Suhirman, Suhirman, Herawan, Tutut, Chiroma, Haruna, Jasni, Mohamad Zain

“…Data minings to support decision making are well suited methods to provide decision support in the education environments, by generating and presenting relevant information and knowledge towards quality improvement of education processes. …”
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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

“…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 by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

“…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 by Adzman, Hasan Khair, Hassan, Raini, Dwi Handayani, Dini Oktarina

“…They are widely used in decision-making, recommendation systems, and data filtering. …”
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