Search Results - (( decision tracking data processing ) OR ( decisions mining data processing ))
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1
Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
Published 2009“…Digital protective relay, instead of a host of other intelligent electronic devices, is the only device for analysis in this work because it sufficiently provides virtually most attributes needed for data mining process in KDD. Unlike some artificial intelligence aproaches like artificial nueral network and decision tree in which the data mining analysis is "population-based" and single since it is common to the entire population of training data set, the rough set approach adopts an "individually-event-based" paradigm in which detailed time tracking analysis of relay operation has been successfully performed.…”
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Article -
2
Stock price monitoring system
Published 2024“…The methodology used in this project is Cross-Industry Standard Process for Data Mining (CRISP-DM), which is a common standard for data mining projects. …”
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Final Year Project / Dissertation / Thesis -
3
Application of Fuzzy Logic in Medicine
Published 2016“…The image mining in particular is gaining new momentum among health practitioners and researchers for example to improve diagnostic accuracy, identify high risk patients and track concepts from unstructured data. …”
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Monograph -
4
Data Mining for Education Decision Support: A Review
Published 2014“…In this paper, a review on data mining for academic decision support in education field is presented. …”
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Article -
5
Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…The ontology developed is not limited to just a knowledge base to store data in structured format but it plays an important role as an inference sources in the decision making of the buying and selling of stock by performing fundamental analysis. …”
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Thesis -
6
Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…The ontology developed is not limited to just a knowledge base to store data in structured format but it plays an important role as an inference sources in the decision making of the buying and selling of stock by performing fundamental analysis. …”
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Thesis -
7
Student Enrolment Prediction Model in Higher Education Institution: A Data Mining Approach
Published 2023Conference Paper -
8
Data Classification and Its Application in Credit Card Approval
Published 2004“…This project demonstrates how data mining can address the need of business intelligence in the process of decision-making. …”
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Final Year Project -
9
Intelligent decision support system for employee's performance prediction / Hamidah Jantan … [et al.]
Published 2010“…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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Research Reports -
10
Fostering STEM Interest for Engineering: Determinants Impacting Additional Mathematics Enrollment in East-Coast Malaysia
Published 2025“…Utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology, empirical findings underscore the importance of educational discipline, gender, PT3 mathematics achievements, mathematics self-efficacy, peer influence, and teacher influence as key determinants shaping enrolment decisions among urban secondary students in Additional Mathematics. …”
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Article -
11
Mining Sebha University Student Enrolment Data Using Descriptive and Predictive Approach
Published 2008“…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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Thesis -
12
Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…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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Article -
13
ANALYSIS OF CUSTOMER SERVICE BUSINESS PROCESS USING DATA MINING
Published 2020“…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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Final Year Project -
14
Predictive data mining of chronic diseases using decision tree: A case study of health insurance company in Indonesia
Published 2017“…All the steps in data mining process have been performed by a data mining tool, named WEKA. …”
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Article -
15
Examining cultural effects on distributed decision-making processes using keyword analysis and data mining techniques
Published 2012“…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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Article -
16
Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance
Published 2019“…The next step is involved data pre�processing which includes data selection, data cleaning and data transformation. …”
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Monograph -
17
Data Mining : A Preview
Published 2000“…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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Article -
18
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…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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Research Reports -
19
Computational Recognition-Primed Decision Model Based on Temporal Data Mining Approach in a Multiagent Environment for Reservoir Flood Control Decision
Published 2004“…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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Thesis -
20
Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining
Published 2025Subjects:Conference paper
