Search Results - (( _ application acs algorithm ) OR ( its application ((mining algorithm) OR (means algorithm)) ))*
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An improved ACS algorithm for data clustering
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Sequential pattern mining using PrefixSpan with pseudoprojection and separator database
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Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…The performance matrix of the AMGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its efficiency.…”
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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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Parsing algorithms for grammars with regulated rewriting
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A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…The future recommendation for this project is to build a classification model for Malay reviews and explore other algorithms which could gain better accuracy by capturing more contextual meanings in the reviews such as BERT.…”
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Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…Since rerunning mining algorithms from scratch is very costly and time-consuming, researchers have introduced interactive mining of frequent patterns. …”
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Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means
Published 2005“…The objective of this paper is to describe a rough sets and fuzzy c-means algorithms and discuss its usage to detect intrusion in a computer network. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…Traditionally, age estimation is dependent on radiographic examinations, and its application requires human competence. Demirjian's technique is one of the most frequently used methods to establish an individual's age. …”
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Stylometric authorship balanced attribution prediction method
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Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases
Published 2008“…Application of data mining to the World Wide Web referred as Web mining is at the cross road of research from several research communities which can be divided into three branches: Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices
Published 2024“…Recently, there has been a significant increase in the use of deep learning and low-computing edge devices for analysis of video-based systems, particularly in the field of intelligent transportation systems (ITS). One promising application of computer vision techniques in ITS is in the development of low- computing and accurate vehicle counting systems that can be used to eliminate dependence on external cloud computing resources. …”
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