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

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

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

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

“…In this paper, a review on data mining for academic decision support in education field is presented. …”
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Student Enrolment Prediction Model in Higher Education Institution: A Data Mining Approach by Ab Ghani N.L., Che Cob Z., Mohd Drus S., Sulaiman H.

Data Classification and Its Application in Credit Card Approval by Thai , VinhTuan

“…This project demonstrates how data mining can address the need of business intelligence in the process of decision-making. …”
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Intelligent decision support system for employee's performance prediction / Hamidah Jantan … [et al.] by Jantan, Hamidah

“…The hidden and valuable knowledge can be discovered through data mining process. In data mining, classification is one of the major tasks to impart knowledge from huge amount of data. …”
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Mining Sebha University Student Enrolment Data Using Descriptive and Predictive Approach by Abdoulha, Mansour Ali

“…For achieving this quality objective the organizations need deep knowledge assess, evaluate and plan towards better decision making process. Data mining techniques are analysis tools that can be used to extract meaningful knowledge from large databases. …”
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Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu by Pala, Tuba, Camurcu, Ali Yilmaz

“…After the pre-processing stage in the data mining process, in the data classification stage, Support Vector Machines (SVM), Naive Bayes, Decision Trees, Artificial Neural Networks (ANN), Multilayer Perceptron (MLP), Logistic Regression (LR) algorithms have been used. …”
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ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING by ABDUL RAHIM, NURALIAH

“…Hence, this paper contribute to justify by the basic concepts of data mining, described the selected types and models of algorithms, and the process of data mining by using R Tools.…”
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Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia by Qudsi, Dini Hidayatul, Kartiwi, Mira, Saleh, Nurliyana

“…All the steps in data mining process have been performed by a data mining tool, named WEKA. …”
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Examining cultural effects on distributed decision-making processes using keyword analysis and data mining techniques by Zakaria, Norhayati, Cogburn, Derrick L., Khadapkar, Pradnya Satish, Louis, Claudia

“…This empirical study employs a keyword analysis and text mining technique using the Provalis mixed methods research suite to examine the following research question, “What is the impact of cultural context on decision-making processes in global virtual teams (GVTs) of transnational civil society?” …”
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Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance by Tan, Su Sze

“…The next step is involved data pre�processing which includes data selection, data cleaning and data transformation. …”
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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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Data Mining : A Preview by Defit, Sarjon, Md. Sap, Mohd. Noor

“…This paper discusses the importance of data mining, the process of knowledge discovery in database, the kind of data to be mined, the data mining task, data mining prototype and discussion about data mining today and the next future.…”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

“…By implementing soft computing techniques in data mining especially in HR field can enhance the knowledge discovery process for intelligent decision system. …”
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Computational Recognition-Primed Decision Model Based on Temporal Data Mining Approach in a Multiagent Environment for Reservoir Flood Control Decision by Norita, Md Norwawi

“…The 'learning from experience' requirement resembles a computational intelligence procedure called data mining. It can provide an autonomous decision-making capability that can facilitate shorter response time in decision-making. …”
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