Search Results - (( data application using algorithm ) OR ( data estimation mining algorithm ))*
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Estimating 1-MCP application for Kampuchea guava with data mining technology
Published 2018“…The classification models can then be used for estimating the 1-MCP application fast whenever there are new data available. …”
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Datasets Size: Effect on Clustering Results
Published 2013“…We modeled each subset of our data using EM clustering algorithm; two different numbers of partitions (k) were estimated and used for each experiment. …”
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Conference or Workshop Item -
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Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
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Proceeding Paper -
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Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
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Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm
Published 2020“…We believe that the result could be better by improving the data, algorithms, algorithm tuning or ensemble methods for the future experiments…”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Thesis -
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Density subspace clustering: a case study on perception of the required skill
Published 2014“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
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Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry
Published 2008“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. …”
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Mining The Basic Reproduction Number (R0) Forecast For The Covid Outbreak
Published 2022“…Waikato Environment for Knowledge Analysis (WEKA) version 3.8 was adopted for data mining analysis at two levels of classification stages. …”
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Monograph -
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Tree-based contrast subspace mining method
Published 2020“…In addition, the tree-based method is extended to mine contrast subspaces of query object in categorical data. …”
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Thesis -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Two publicly activity datasets are used; Wireless Sensor Data Mining (WISDM) and Physical Activity Monitoring for Aging People (PAMAP2). …”
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Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
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Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
Published 2024Subjects:Conference Paper -
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Computerized Maintenance Management System for Food Processing Industries
Published 2007“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…The present practise is also arguably biased toward subjective grading, as dental age assessment is performed manually by forensic odontologists using a scoring system. The advancement of technologies in medical imaging facilitates the development of computer-based applications in which machine learning is used to leverage data mining in the medical industry to improve the reliability and speed of diagnosis while also increasing reproducibility. …”
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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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