Search Results - (( usage optimization means algorithm ) OR ( java application mining algorithm ))
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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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Conference or Workshop Item -
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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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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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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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Development of genetic algorithm for optimization of yield models in oil palm production
Published 2018“…Moreover, models were built on the basis of variables that have been selected by the GA. Across the optimization, procedures obtained the best Two Factor Interaction (2FI) models to achieve the best model of oil palm productivity prediction with a value of R2 of 0.948, mean squared error of 0.022, and the model P-value of < 0.0001 in Sabah. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…Finally, the proposed Self-decision Route Selection scheme reduces the transmission energy usage by up to 64%, while the reception energy usage is reduces by up to 67%.…”
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Artificial neural network technique for modeling of groundwater level in Langat Basin, Malaysia
Published 2016“…Precise water level prediction assists in practical and optimal usage of water resources. The main objective of using an artificial neural network (ANN) was to investigate the feasibility of feed-forward, Elman and Cascade forward neural networks with different algorithms to estimate groundwater levels in the Langat Basin from 2007 to 2013. …”
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Hybrid LTE-VANETs Based Optimal Radio Access Selection
Published 2018“…This paper proposed an ancient hybrid optimal radio access selection algorithm (ORAS) which combines the LTE and VANET networks with accomplishing high data packet delivery ratios and low delay, while maintaining the minimum level of cellular infrastructure usage by means of increasing the stability of link transmission and reducing the number of hopes per route. …”
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Book Chapter -
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A dynamic eLearning prediction modelbased on incomplete activities of eLearning system
Published 2020“…Hence, this study demonstrates that using data from incomplete activities of eLearning systems provides an appropriate means for predictable learning outcomes. The prediction model contributes to an optimal number of classes and data set where two classes received the highest accuracy ratio. …”
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Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
Published 2013“…The Least Square Error (LSE) and Discrete Fourier Transform (DFT) BER are not shown because these are other CE techniques and Mean Square Error (MSE) is used just by applying the algorithm from Least Square Error (LSE) and converted into MSE with combination of few complex matrix correlations.…”
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A new technique for FACTS devices placement via stability index-load tracing / Z. Hamid ...[et al.]
Published 2012“…Because of that, this paper promotes a new technique for identifying the most suitable load bus to be selected for shunt element placement by means of Fast Voltage Stability Index Load Tracing (FVSI-LT) via a new hybrid algorithm, Blended Crossover Continuous Ant Colony Optimization (BX-CACO). …”
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Biological-based semi-supervised clustering algorithm to improve gene function prediction
Published 2011“…The framework consists of threestages: (i) preparation of Gene Ontology (GO) datasets, functional annotation databases, and testing datasets, (ii) a fuzzy c -means clustering to find the optimal clusters; and (iii) analysis of computational evaluation and biological validation from theresults obtained. …”
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Tailoring the energy harvesting capacity of zinc selenide semiconductor nanomaterial through optical band gap modeling using genetically optimized intelligent method
Published 2021“…This present work provides novel ways whereby the wide energy band gap of zinc selenide can be effectively modulated and tuned for light energy harvesting capacity enhancement by hybridizing a support vector regression algorithm (SVR) with a genetic algorithm (GA) for parameter combinatory optimization. …”
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A design of precision linear z-transverse antenna positioner
Published 2006“…Based on calibrated data, it was then optimized to yield more accurate result by mean of correction through software compensation. …”
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