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Variable Selection in Data Analysis: A Synthetic Data Toolkit
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
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An enhanced quorum selection algorithm
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An Improved Quorum Selection Algorithm
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An improved quorum selection algorithm (IQSA). (c2007)
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Development of an Optimization Algorithm for Internet Data Traffic
Published 2020“…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …”
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UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
Published 2018“…CDG is utilized to aggregate data en-route from a large set of sensor nodes to selected projection nodes acting as cluster heads in order to reduce the number of needed transmissions leading to notable energy savings and extended network lifetime. …”
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Data mining approach to predict student's selection of program majors
Published 2019“…There is an opportunity to apply data mining to arrive at a model to predict student selection of a major. …”
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A genetic algorithm for testable data path synthesis
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Nested ensemble selection: An effective hybrid feature selection method
Published 2023“…The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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Multi-marker-LD based genetic algorithm for tag SNP selection
Published 2014“…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…”
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Energy-aware adaptive compression for mobile devices. (c2009)
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A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization
Published 2021“…The objective is to answer adjacency queries as accurately as possible and to achieve an effective compression. We examine several heuristic algorithms in an attempt to achieve these two main objectives and conduct a thorough experimental analysis providing evidence of the effectiveness of our graph mapping approach. …”
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …”
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Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
Published 2024“…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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