Search Results - (( user extraction method algorithm ) OR ( using codification based algorithm ))
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
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2
Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
Published 2017“…An algorithm vision based page segmentation algorithm will be implemented in this system to extract the data from multiple websites and will be displayed in new website. …”
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3
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
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4
Agent-based extraction algorithm for computational problem solving
Published 2015“…The results show that the extraction algorithm has been able to extract 100 % of the information correctly. …”
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5
Jogging activity recognition using k-NN algorithm
Published 2022“…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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Academic Exercise -
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Text Extraction Algorithm for Web Text Classification
Published 2010“…This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. …”
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7
Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
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8
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…In addition, this research does not require any pre-stored database to train the algorithm. This research requires the supervision from the users to train the algorithm by naming the region. …”
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Final Year Project / Dissertation / Thesis -
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BRAIN ACTIVITIES FOR MOTOR MOVEMENT
Published 2012“…The Feature extraction method MVAAR couldn’t extract the actual feature for the four movements so we couldn’t classify between them.…”
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Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
Published 2022“…In this context, keyphrase extraction algorithms can extract information from news articles. …”
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An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The threshold adaptation was achieved by using the mean value, the standard deviation, and the L1-norm instead of the comparison of user summaries evaluation method to obtain a fully automatic video summarisation algorithm, and by eliminating the conditions in selecting the final key frames to reduce the complexity of the algorithm. …”
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A review on classifying and prioritizing user review-based software requirements
Published 2024“…However, extracting and analyzing user requirements from user reviews is ineffective due to the large volume, unstructured nature, and varying quality of the reviews. …”
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Spam image filtering algorithm / Muhammad Hazim Shahimi
Published 2015“…The algorithm in this project will help the existing current spam filtering to enhance the method in filtering spam images. …”
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14
Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging
Published 2021“…Unlike earlier work which adopts a single social media data with open and close vocabulary extraction method, the proposed work uses multiple social media data sources namely Facebook and Twitter and produce a predictive model for each trait using bidirectional context feature combine with extraction method. …”
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Food tour recommendation using modified ant colony algorithm
Published 2015“…Food tour is popular and becomes one of the most dynamic and creative segments of tourism.Popular itinerary of food tour can be extracted from the information in the Internet, but preference of the user must also be taken into consideration.This paper proposed a modified Ant Colony algorithm to find best possible itineraries through approximation and heuristic method by taking majority preferences of users into account when computing the recommended itinerary.The experiments were conducted on a food tour of restaurants in Yaowarat, a Bangkok’s China-town of Thailand.The results show that our proposed algorithm can recommend itineraries with rank-accuracy 0.88-0.97, which is better than the original Ant Colony algorithm with rank-accuracy 0.61-0.63.…”
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Conference or Workshop Item -
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Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…The active contour method (Chan-Vese) was utilized to extract the ROI parameters (hippocampus). …”
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17
Applying empirical thresholding algorithm for a keystroke dynamics based authentication system
Published 2019“…The password training database for each user is constructed using the extracted features. …”
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Handwriting recognition using webcam for data entry
Published 2014“…Several distinctive feature from each character is extracted using a few feature extraction methods, in which a comparison between three types of feature extraction modules were used. …”
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Final Year Project -
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata
Published 2019“…We have proposed a clustering algorithm named Ordered Clustering with a specific characteristic that allows multiple membership in clusters which reflects the news nature and user behavior. …”
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