Search Results - (( java implication force algorithm ) OR ( user extraction _ algorithm ))
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1
A Rule Extraction Algorithm That Scales Between Fidelity and Comprehensibility
Published 2012“…Since the needs of comprehensibility or fidelity may vary depending on the user or application, this paper presented a significance based rule extraction algorithm that allows a user set parameter to scale between the desired degree of fidelity and comprehensibility of the rules extracted. …”
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2
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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Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
Published 2017“…To solve this problem, online Clothing Shopbots via Web Content Extraction is developed so it can help user to reduce the time and money consumed to compare the prices because all the items and prices from multiple websites can be compared in just one website to ease the user or customer. …”
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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
Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat
Published 2019“…Aspect extraction, also known as opinion target extraction, is the fine-grained identification of users’ opinion targets, such as the extraction of opinionated product aspects from customer reviews. …”
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6
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“…Recently, several effective supervised and unsupervised machine learning methods have been developed in the domain of topics extraction. However, less works have been conducted in applying multiobjective based algorithm for topic extraction. …”
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8
Factors influencing graphical user algorithm for mobile banking user authentication: a systematic literature review
Published 2014“…With the increasing number of mobile users, which currently is estimated to be about 500million users by 2015 according to a study done by the Yankee Group in 2011, the main objective of this study is to review studies on mobile banking usability factors and graphical user authentication algorithms on the suitable algorithm to be adopted for mobile banking user authentication. …”
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9
HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
Published 2011“…In the query process, accuracy is determined by the number of feature vector elements, data extraction, and similarity measurement algorithm. A user testing to validate the framework shows that users’ perception of haptic feedback differs depending on the different type of rendering algorithm. …”
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10
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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A new classification model for online predicting users' future movements
Published 2008“…We can exploit Web Usage Mining for Knowledge extracting based on user behavior during the web navigation. …”
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12
An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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13
Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Recently, several effective supervised and unsupervised machine learning methods have been developed in the domain of topics extraction. However, less works have been conducted in applying multiobjective based algorithm for topic extraction. …”
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Detection and extraction features for signatures images via different techniques
Published 2019“…Signature is used as a feature to identify the user by extracting a set of features. Over time, a number of techniques have been developed to identify and extract a set of features from the signature image. …”
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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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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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Spam image filtering algorithm / Muhammad Hazim Shahimi
Published 2015“…It has shown that the proposed algorithm is good in classifying the images. There are some improvements that can be suggested for future works such as use more data, apply the better OCR technique, use another image feature extraction, and use another classifier.…”
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18
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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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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Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)
Published 2023“…Once the face is successfully recognized, a classifier model is employed to predict the user's age and gender based on the extracted features. …”
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Undergraduates Project Papers