Search Results - (( java application mining algorithm ) OR ( knowledge segmentation method algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
Published 2010“…A two-fold fuzzy segmentation algorithm based on Bayesian method is proposed in this paper. …”
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Conference or Workshop Item -
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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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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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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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Region-growing based segmentation and bag of features classification for breast ultrasound images
Published 2017“…Therefore, there appears to be a gap between the knowledge of region growing segmentation and ultrasound tumors segmentation. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Multi-layer perceptron (MLP) neural network trained using backpropagation algorithm is used to segment the color image. The results of color segmentation show that the algorithm is able to segment the images reliably with less appearance of small blobs. …”
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Thesis -
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Determination of tree height based on tree crown using algorithm derived from UAV imagery / Suzanah Abdullah ... [et al.]
Published 2021“…As a conclusion, this study has contributed to the knowledge extension in this area and presented the result of the tree height values according to the segmentation algorithm at the different flying height data.…”
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Conference or Workshop Item -
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A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…Our results infer that our approach demands more labels from under-represented groups than the baselines, thus enhancing their efficiency and mitigating the class imbalance. Our method's performance is superior to the conventional deep learning models in detecting 8 out of 11 classes on the Camvid road segmentation scene dataset. …”
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Old Jawi manuscript: Digital recognition / Zaidi Razak
Published 2016“…The literature review in this research looks at works conducted in the past on line and character segmentation as well as recognition systems. The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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Coronary artery segmentation in angiograms with pattern recognition techniques - a survey
Published 2013“…Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. …”
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Conference or Workshop Item -
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Effective predicate identification algorithm for XML retrieval
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Segmenting microcalcifications using enhanced distance active contour (EDAC) / Siti Salmah Yasiran
Published 2010“…This study sets out to explore the Active Contour models to segment object boundaries using the Distance Active Contour (DAC) method. …”
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Segmenting the right ventricle cavity from 4D echocardiography images for stroke volume measurement
Published 2014“…By reviewing most of the previous work in the literature, there are different methods used to segment the right ventricle (RV) cavity, such as boundary based detection, texture, and regional segmentation methods. …”
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A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework
Published 2019“…Observing network traffic flow for anomalies is a common method in Intrusion Detection. More effort has been taken in utilizing the data mining and machine learning algorithms to construct anomaly based intrusion detection systems, but the dependency on the learned models that were built based on earlier network behaviour still exists, which restricts those methods in detecting new or unknown intrusions. …”
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Article -
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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
Published 2005“…For overall, the back-propagation algorithm has been proved as a method that can be used for recognition areas.…”
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