Search Results - (( emotion detection system algorithm ) OR ( user identification mining algorithm ))
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An efficient fuzzy clustering algorithm for mining user session clusters on web log data
Published 2021“…This paper proposes an efficient Fuzzy Clustering algorithm for mining client session clusters from web access log information to find the groups of client profiles. …”
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Real-time system for facial emotion detection using GPSO algorithm
Published 2012Get full text
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A prototype for context identification of scientific papers via agent-based text mining
Published 2023Conference Paper -
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Context identification of scientific papers via agent-based model for text mining (ABM-TM)
Published 2023“…In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. …”
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Facial emotion detection using GPSO and Lucas-Kanade algorithms
Published 2010Get full text
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Human Spontaneous Emotion Detection System
Published 2018“…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Therefore, this paper aims to analyze and cluster the log file data to get useful information that helps understand the users' behavior. A variety of data mining techniques were used to address the problem; three steps of data pre-processing were applied, namely the cleaning of data, the identification of users, and the identification of sessions. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Secondly, a modified πRKM algorithm is proposed to partition the user session data. …”
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An analysis of text mining factors enhancing the identification of relevant studies
Published 2023“…In this paper, we analyze the literature and identify the text mining factors that influence the identification of relevant studies. …”
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Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
Published 2009Get full text
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Stress Level Detection using Fuzzy Logic / Nor Husna Nabila Khuzaini
Published 2020“…This fuzzy logic system were successful develop. The result indicate in stress level detection based on fuzzy logic system that provide the symptom of stress and the facial emotion. …”
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Detecting emotions and depression through voice
Published 2021“…A deep learning algorithm can detect emotion, including depression, using a voice signal. …”
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Dominance analyses reduction in skyline query processing over data stream with data mining technique
Published 2025“…DAR employs the Apriori algorithm, one of the most prevalent data mining algorithms, to identify the frequently occurring dominance analyses. …”
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