Search Results - (( its application learning algorithm ) OR ( its applications mining algorithm ))
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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A study on classification learning algorithms to predict crime status.
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ANALYSIS OF STOCK PRICE PREDICTION USING DATA MINING APPROACH
Published 2012“…The aim of this project is to study the data mining approach on predicting stock price that offers accuracy and sustains its reliability in the system. …”
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Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks
Published 2019“…Experiment results on several multimedia applications have shown that the proposed algorithm is competitive compared with the other single-view feature selection algorithms.…”
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Improved GART neural network model for pattern classification and rule extraction with application to power systems
Published 2023“…In this paper, we propose an improved GART model (IGART), and demonstrate its applicability to power systems. IGART enhances the dynamics of GART in several aspects, which include the use of the Laplacian likelihood function, a new vigilance function, a new match-tracking mechanism, an ordering algorithm for determining the sequence of training data, and a rule extraction capability to elicit if-then rules from the network. …”
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Analysis using data mining techniques: the exploration and review data of diabetes patients / Syarifah Adilah Mohamed Yusoff ... [et al.]
Published 2025“…These trends are not only enhancing the efficiency and accuracy of data mining but also expanding its applications across different industries. …”
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RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system
Published 2015“…This paper illustrates architecture to handle which latches into the existing framework and its eco-systems. The proposed architecture provides future researchers to validate their algorithm and get the provisioned output for the teaching-learning added for intelligent applications Keywords; Educational Data, Big Data, Data Analytics, Data Mining, Knowledge Discovery…”
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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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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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Mining Indirect Least Association Rule from Students' Examination Datasets
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Conference or Workshop Item
