Search Results - evolution ((((visualization techniques) OR (estimation techniques))) OR (mining techniques))
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
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Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
Published 2019“…PCA is a dimensionality reduction technique that is robust and ease the visualization task. …”
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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Mixed Unscented Kalman Filter and differential evolution for parameter identification
Published 2013“…This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. …”
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Information visualization techniques usage model
Published 2013“…However, information visualization tool must be appropriately used in context of the data to be visualized, and the information intended to be conveyed in order not to mislead or confuse the users.In view of guiding designers of information visualization tools in making appropriate choice with regards to visualization and interaction techniques that fit in, this study employs content analysis of past researches on information visualization to present a usage model for information visualization techniques.…”
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Conference or Workshop Item -
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Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells
Published 2012“…Since 2550 - 2315 BC, the technology of drilling has been evolved with new techniques and materials parallel to the increasing number of ideas and human population. …”
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Final Year Project -
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Two level Differential Evolution algorithms for ARMA parameters estimatio
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Proceeding Paper -
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…The Genetic Algorithm is an area in the field of Artificial Intelligence that is founded on the principles of biological evolution. Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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Global Trends of Educational Data Mining in Online Learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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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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Channel quality indicator for long term evolution system based on adaptive threshold feedback compression scheme
Published 2014“…Hence, CQI calculations highly depend on the accuracy of the channel estimation process. A precious channel estimation scheme is necessary to indicate the instantaneous channel condition. …”
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An adaptive threshold feedback compression scheme based on channel quality indicator (CQI) in long term evolution (LTE) system
Published 2015“…Channel quality indicator (CQI) feedback in long-term evolution (LTE) system is an essential technique in describing the instantaneous channel state information. …”
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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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Book Chapter -
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Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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Proceeding Paper