Search Results - (( solution selection technique ) OR ( evolution ((computing techniques) OR (mining techniques)) ))
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1
Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
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2
Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…This thesis presents an efficient and reliable DE based solution applied to the Harmonics Elimination Pulse Width Modulation (HEPWM) switching technique for three phase voltage source inverters. …”
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3
A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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4
A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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5
Game-theoretic differential evolution for multiobjective optimization of green sand mould system
Published 2016“…Then the most desirable options with respect to the industrial circumstances and online operating conditions are selected. In this work, the trade-off solutions are obtained using the weighted-sum approach. …”
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6
A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS
Published 2016“…This improvement stems from the highly reliable cell-selection technique that leads to increased throughput of the cell with a successful handover. …”
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Review of adaptive cell selection techniques in LTE-advanced heterogeneous networks
Published 2016“…By contrast, a cell selection technique based on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias-based approaches. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Mobile edge computing (MEC) is a well-known technique to support delay-sensitive applications at the edge of mobile networks. …”
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9
PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
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10
Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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11
A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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12
Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…In evolution and ubiquitous computing systems, accelerometer-based human activity recognition has huge potential in a large number of application domains. …”
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Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed
Published 2019“…In the last three decades, significant research has been done to develop an efficient control technique for eliminating unwanted harmonics. The preliminary review of existing control techniques revealed that the Bio-inspired intelligent algorithms (BIAs) based selective harmonic elimination pulse width modulation (SHEPWM) are more proficient to eliminate the loworder harmonics. …”
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14
Improvement of SCTP congestion control in the LTE-A network
Published 2015“…The ranking can be achieved by adding a value which selection is based on a multi-criteria problem. Concretely we used the multi-criteria decision-making (MCDM) technique, especially the utilization of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). …”
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15
Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…In order to store these huge volumes with heterogenous data categories, cloud computing became the mainstream solution to provide multiple services to keep safe, process and distribute the data. …”
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16
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…The second improvement involves the incorporation of evolutionary operators from Differential Evolution algorithm at the end of each WOA iteration including mutation, crossover, and selection operators. In addition, we also used Information Gain (IG) as a filter features selection technique with WOA using Support Vector Machine (SVM) classifier to reduce the search space explored by WOA. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The performance of DE algorithm depends heavily on the selected mutation strategy and its associated control parameters. …”
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18
Mobility management for seamless handover in carrier aggregation heterogeneous networks deployment scenario of long term evolution-advanced
Published 2018“…Attaining an optimal solution for HCPs selection is subjected to compromise between LBO and HPO functions, thus leading to inefficient handover decision making. …”
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19
Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain
Published 2017“…Finally, this research proposed hybrid embedding methods by integrating the above RMDR and PBPVD techniques to achieve the optimal steganography objectives. …”
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20
Overview and future opportunities of sentiment analysis approaches for big data
Published 2016“…SA studies are predicted to be expanded into approaches that utilise scalability, possess high adaptability for source variation, velocity and veracity to maximise value mining for the benefit of the users.…”
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