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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
Published 2017“…The related sub-objectives are: 1) to define coalition and social factors to form a coalition formation model, 2) to develop a knowledge representation scheme to store knowledge of formed coalitions, and 3) to develop an effective algorithm to optimize the coalition which can also be treated as a clustering problem. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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A New Cell Formation Method Considering Operation Sequences And Production Volumes
Published 2013“…This research, presents an algorithm for cell formation to minimize intercellular movements. …”
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Thesis -
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Evaluation of Formation Damage from Transient Pressure Analysis: Unsteady State Skin Factor
Published 2011“…The developed model and the correlation charts can be used to evaluate the formation damage from well test analysis around the well by estimating both the skin permability and the depth of invasion in the damaged zone. …”
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A new correlation for oil formation volume factor of oil and gas mixture using Group Method of Data Handling; an empirical approach
Published 2014“…Trend analyses have confirmed that this new model for oil formation volume factor at bubble point pressure is physically correct.…”
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Final Year Project -
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…It evaluates system formation methods, hierarchical structures, and leader selection criteria, comparing various parameters to identify factors influencing node formation and routing. …”
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Thesis -
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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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Thesis -
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New correlation for oil formation volume factor
Published 2014“…In this work, a new correlation for estimating oil formation volume factor (βo) using a Group Method of Data Handling (GMDH) technique was developed. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…Following this, at the formational level, various local mechanisms are investigated in the context of the biological development of the proposed neural architectures. …”
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Thesis -
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A new multi-frames watermarking technique for tamper detection and recovery
Published 2017“…The higher speed up factor in TALLOR indicated that the performance of the proposed multi-frames watermarking scheme is affected by the algorithm complexity of the adopted watermarking scheme and the number of frames in medical images processed.…”
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Thesis -
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Prediction of PVT properties in crude oil systems using support vector machines
Published 2023Subjects:Conference paper -
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Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique
Published 2017“…Results showed that the model developed was within the acceptable range and could be used to understand ozone formation and identify potential sources of ozone for estimating O3 concentrations during daytime and nighttime Results indicated that the wind speed, wind direction, relative humidity, and temperature were the most dominant variables in terms of influencing ozone formation. …”
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Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
Published 2023“…The results revealed that wind speed, humidity, Nitrogen Oxide, Carbon Monoxide and Nitrogen Dioxide have significant influence on ozone formation. Boosted Decision Tree outperformed Linear regression and Neural Network algorithms for all stations. …”
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