Search Results - (( java implementation phase algorithm ) OR ( causing process mining algorithm ))
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1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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2
An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease
Published 2019“…This disease is not epidemic but it re-mains the single most common cause of death. This research used an im-proved C4.5 data mining algorithm for the diagnosis of CAD. …”
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3
Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset
Published 2019“…With the increased interest into data mining as an important tool for data processing and analysis, the researchers are concerned into data mining for real decision making, data mining helps in the organizational decision making, inaccurate information can mislead decisionmakers and cause costly errors. …”
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4
Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2023“…The PNDT consists of five components: agent's belief base; observation process; Potential Norms Mining Algorithm (PNMA) to detect the potential norms and identify the normative protocol; verification process, which verifies the detected potential norms; and updating process, which updates the agent's belief base with new normative protocol. …”
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Analysis of Feature Selection Methods for Sentiment Analysis Concerning Covid-19 Vaccination Issues
Published 2023“…Sentiment analysis is one of the most active research areas in natural language processing, data mining, information retrieval, and web mining. …”
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6
An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…In addition, exponential growth of data causes high computational costs in Apriori-like algorithms. …”
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7
Identifying significant features and data mining techniques in predicting cardiovascular disease / Mohammad Shafenoor Amin
Published 2018“…Researchers have often focused towards the diagnosis by using different algorithms, sometimes even using the hybrid algorithm. …”
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8
Automatic clustering of gene ontology by genetic algorithm
Published 2006“…However, the increase in size of the Gene Ontology has caused problems in maintaining and processing them. …”
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9
Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System
Published 2011“…Artificial Immune Recognition System is one of the several immune inspired algorithms that can be used to perform classification, a data mining task. …”
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10
Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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11
Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
Published 2024“…This assists medical practitioners to detect a disease at early stage especially diabetes that causes further health complications. The diversity and availability of healthcare datasets supports medical practitioners to use computer applications in the diagnosis process. …”
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12
Profiling network traffic of Sultan Idris Shah building (BSIS) using data mining technique / Rusmawati Ishak
Published 2018“…Based on the trend shows more activities done during the holiday and the attacking activity also frequently happen during the weekend or public holiday. Data mining process lead to reveal the information gather for profiling purposes and identify type of traffic passing through the BSIS network. …”
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13
An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…Experimental results are compared with other alternative online/offline hybrid density-based clustering algorithms. The average processing time for data point in the data stream is about 2 milliseconds which is much lower than the aligned clustering algorithms in literature. …”
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14
Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2013“…The PNDT consists of five components: agent’s belief base; observation process; Potential Norms Mining Algorithm (PNMA) to detect the potential norms and identify the normative protocol; verification process, which verifies the detected potential norms; and updating process, which updates the agent’s belief base with new normative protocol. …”
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15
Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…Such a finding indicates that the exploitation of bio-inspired algorithms with ideal combination of wrapper/filtered method can contribute in finding the optimal features to be used in data mining model construction.…”
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A Predictive Classification Model For Running Injury
Published 2022“…The J48, SMO, Random Forest, and Simple Logistic algorithms were used for 10-fold cross validation mode classification benchmarked on the ZeroR baseline algorithm. …”
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18
Student performance classification using support vector machine (SVM) with polynomical kernel on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]
Published 2023“…The increasing usage of classification algorithms has encouraged researchers to explore many topics, including academic-related topics. …”
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19
Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…There are several data mining tasks such as classification, clustering, prediction, summarization and others. …”
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20
Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming
Published 2024“…To address these challenges, an innovative Artificial Intelligence-based (AI-based) predictive algorithm has been proposed, leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) data science framework. …”
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