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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…In the last decades, emerging data mining technology has been introduced to assist humankind in generating relevant decisions. Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…In the last decades, emerging data mining technology has been introduced to assist humankind in generating relevant decisions. Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Results show that the best feature selection is term frequency and trimming of the feature with a frequency greater than 95%. The best news classification approach is based on Deep Learning techniques that provide the most accurate classification. …”
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Book Section -
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…We present another modification of fuzzy decision tree (FDT) classification techniques that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. …”
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An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…The experiment was executed by using k-fold cross validation techniques for predicting the classification algorithm performance. …”
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Thesis -
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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 simulation results show the effectiveness of the ARDE method over other conventional techniques, transcending the limits of the existing state-of-the-art algorithms in estimating the parameters of robot. …”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Thus, to deal with huge dataset, data mining technique can be improved by introducing discretization algorithm to increase classification performance. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…The expected end is to automatically generate dengue classification. The evaluation conducted in this project has shown a promising accuracy. …”
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Differential evolution technique of HEPWM for three-phase voltage source inverter
Published 2016“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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Evaluation of multibeam echosounder backscatter for classifying seafloor sediment using unsupervised and supervised technique at navigational channel / Muhammad Hafizuddin Mohmad N...
Published 2023“…Future work may consider ground truthing samples from the site to refine the classification further, employing techniques such as Random Forest. …”
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Student Project -
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A WEB-BASED TOOL FOR TEST BANK QUESTIONS SELECTION BASED ON CLASSIFICATION MODEL
Published 2015“…Therefore, this project aims to develop a web-based question generator tool by using predictive data mining techniques. …”
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Final Year Project Report / IMRAD -
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times
Published 2016“…The proposed technique is able to find a least spent travel time path between two nodes in a bus network with time-dependence.Graph algorithm is used to generate all possible paths to reveal the distances.Classification technique is then used to analysis traffic situation in different period of the time.By analysis traffic situation, date, time, week, month, location are used as a main factor for training process in classification technique.From the experimental studies, the proposed technique is able to show the best route from any given node to the final destination depending on the different period of the time.The proposed technique provides significant benefit for traveler to select the best bus route, which is short distance and fast, among generated routes…”
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A comparative study in classification techniques for unsupervised record linkage model
Published 2011“…Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. …”
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Dynamic rule refinement strategy of associative classifier for effective mammographic image classification
Published 2016“…The existing associative classification techniques that are used in Computer Aided Diagnosis (CADx) have proved their efficiency in mammogram classification. …”
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Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo
Published 2014“…We evaluated the models generated from seven classification algorithms with two simple data balancing techniques. …”
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Multiclass classification for chest x-ray images based on lesion location in lung zones
Published 2015“…Innovation in radiology technology has generated numerous kinds of medical images like the chest X-ray (CXR).This image is used to find common problem in lung like the lesion through scanning process in lung area which is divided into six zones.By classifying the CXR images with common feature like the lesion location, we can ensure efficient image retrieval.Recently, Support Vector Machine (SVM) has turn out to be a well-known method for image classification.While many previous studies have reported the achievement of SVM in classifying images, yet there is still problem with this technique for multiclass classification.Since SVM is a binary classification technique, its ability is limited to classifying features between two classes at one time. …”
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