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Direct approach for mining association rules from structured XML data
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Thesis -
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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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Article -
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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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Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset
Published 2018“…The time required for segmentation is 366s. The segmentation results from the algorithm developed are competitive. …”
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Monograph -
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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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Algorithm for robot writing using character segmentation
Published 2023“…In this paper, we are presenting a flexible algorithm that can allow a robot to write. This algorithm is based on character segmentation, where the main idea is to store character information as segments and the segment information can then be used by the robot to write. …”
Conference Paper -
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Machine Vision Application For Automatic Defect Segmentation In Weld Radiographs
Published 2006“…Finally. a defect segmentation algorithm was developed to segment the defects automatically from the image using background subtraction and rank leveling method.…”
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Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Development of a new algorithm for segmentation of flotation froth images
Published 2014“…In the paper, the marker-based watershed method is modified to prevent oversegmentation of large bubbles. The developed algorithm is validated using some froth images captured at different operating conditions, so the results indicate that the method can segment the mixture of big and small bubbles effectively.…”
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Article -
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Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…Performance of the segmentation algorithms is analysed using 20 lung CT images from LIDC dataset. …”
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Proceedings -
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Region-growing based segmentation and bag of features classification for breast ultrasound images
Published 2017“…This study aims to develop a scheme (algorithm) to segment and classify the type of tumor in ultrasound. …”
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Thesis -
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Segmentation of flair magnetic resonance brain images using K-Means Clustering algorithm / Nur Nabilah Abu Mangshor
Published 2010“…A prototype system of brain segmentation is developed by implementing K-Means Clustering algorithm. …”
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Thesis -
15
Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model
Published 2021“…This development then introduces the Se-PSO algorithm in which the particles are segmented to find a local optimal solution at the beginning and later sought by the PSO algorithm. …”
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Thesis -
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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Thesis -
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The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman
Published 2006“…Later in the retrieval development, the segmentation would be used for the indexing part. …”
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Research Reports -
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman
Published 2006“…The inverted file method has been used for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
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Research Reports -
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A video-rate color image segmentation using adaptive and statistical membership function
Published 2010“…Typically, the image segmentation algorithms in video processing system require very high computation power, so it is desirable to develop algorithms for implementation as a real-time system. …”
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