Search Results - solution ((validation technique) OR (mining techniques))

Application of data mining on polynomial based approach for ECG biometric by Sidek, Khairul Azami, Khalil, Ibrahim

“…QRS complexes from each dataset was divided into two parts, the training and the testing dataset which was used to prove the validity of the data mining technique applied. Experimental results was classified using Multilayer Perceptron (MLP) in order to confirm the identity of an individual and was compared with the previous research using polynomials without the use of data mining technique. …”
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Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar by Almalawi, A., Khan, A.I., Alqurashi, F., Abushark, Y.B., Alam, M.M., Qaiyum, S.

“…Besides, deep belief network (DBN) model was employed for prediction and the efficiency of the DBN model is optimally adjusted with utilize of RO technique. The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods. …”
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Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar by Almalawi, A., Khan, A.I., Alqurashi, F., Abushark, Y.B., Alam, M.M., Qaiyum, S.

“…Besides, deep belief network (DBN) model was employed for prediction and the efficiency of the DBN model is optimally adjusted with utilize of RO technique. The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods The experimental validation of the RODL-HMSEP technique ensured the promising performance of the RODL-HMSEP technique on the prediction of sorption efficiency onto biochar over other methods. …”
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Modelling reservoir water release decision using temporal data mining and neural network by Wan Ishak, Wan Hussain, Ku-Mahamud, Ku Ruhana, Md Norwawi, Norita

“…These experiences provide valuable information on the decision when the reservoir water should be released. Temporal data mining technique has been applied to extract temporal pattern from the reservoir operational record and neural network has been applied as the modeling tool. …”
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A review on optimization of least squares support vector machine for time series forecasting by Yusof, Yuhanis, Mustaffa, Zuriani

“…This paper presents a review on techniques used to optimize the parameters based on two main classes; Evolutionary Computation and Cross Validation.…”
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Analysis of traffic accidents using association rules mining technique / Abdullah Murshid Abdul Rahim by Abdul Rahim, Abdullah Murshid

“…Analysis of traffic accidents using data mining techniques is a project to identify the traffic accident pattern analysis using data mining techniques. …”
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Medical diagnosis using data mining techniques / Shaiful Nizam Zamri by Shaiful Nizam , Zamri

“…Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. …”
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Bioleaching and biosorption of heavy metals from gold mine tailings by Aspergillus fumigatus in Penjom, Malaysia by Jalili Seh Bardan, Bahi

“…The ability of A. fumigatus to remove As, Fe, Mn, Pb and Zn from synthetic solutions and from leachate derived from gold mine during bioleaching was assessed. …”
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Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks by Farah Liyana, Azizan, Saratha, Sathasivam, Majid Khan, Majahar Ali, Nurshazneem, Roslan, Caicai, Feng

“…The suggested network’s performance was trained and validated using Matlab 2020b. The hybrid techniques significantly obtain better results in terms of error analysis, efficiency evaluation, energy analysis, similarity index, and computational time. …”
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Neutralisation state driven single-agent search strategy for solving constraint satisfaction problem / Saajid Akram Ahmed Abuluaih by Ahmed Abuluaih, Saajid Akram

“…Therefore, most of the recent research in the field is devoted to improving the problem solvers that utilize search strategies and techniques. Since Constraint Satisfaction Problem (CSP) is an NP-complete problem, brute-force search algorithms such as Backtracking algorithm (BT) are required as the guarantee to find a solution, when there is one. …”
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Text mining in bioinformatics: past, present and future by Faiiazee, Hadee, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Abdullah, Rusli, Samsudin, Khairulmizam

“…Dealing with this situation needs to deploy innovative methods and techniques. In this paper, we identify the current heavily used methods for biomedical text mining, their capabilities and developments, some proposed solution and how to evaluate performance. …”
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Uncovering Hidden Information Within R&D Department's Ticket Using Data Mining Clustering Approach by Azmi, Abu Bakar

“…In this study the data extracted is clustered using two different types of data mining techniques i.e. K-Means and Kohonen Network. …”
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A numerical method for frequent pattern mining by Mustapha, Norwati, Nadimi-Shahraki, Mohammad-Hossein, Mamat, Ali, Sulaiman, Md. Nasir

“…Frequent pattern mining is one of the active research themes in data mining. …”
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Improving intrusion detection using genetic algorithm by Hashemi, V. Moraveji, Muda, Zaiton, Yassin, Warusia

“…The validity of this approach is verified using Knowledge Discovery and Data Mining Cup 1999 (KDD Cup ’99) dataset. …”
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Review of firewall optimization techniques by Shakirah, Saidin, Mohamad Fadli, Zolkipli

“…Minimizing firewall rules by removing anomalies in the policy proven to be one of the solutions. Firewall performance can also be optimized using data mining technique and optimization based on traffic awareness. …”
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Accelerated mine blast algorithm for ANFIS training for solving classification problems by Mohd Salleh, Mohd Najib, Hussain, Kashif

“…Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. …”
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Predictive crime mapping model using association rule mining for crime analysis by Asmai, S. A., Rosmiza Wahida, Abdullah, Sabrina, Ahmad

“…After training the data, the rules of relationship between attributes were generated. Here, the technique of association rule mining is being used. …”
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Intrusion detection system with data mining approach: a review by Khalilian, Majdid, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…Recently many researchers have focused on intrusion detection system based on data mining techniques as an efficient strategy. The main problem in intrusion detection system is accuracy to detect new attacks therefore unsupervised methods should be applied. …”
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Text mining in mosquito-borne disease: A systematic review by Ong, Song Quan, Maisarah Mohamed Pauzi, Keng, Hoon Gan

“…In this review, we survey the recent works in the text mining techniques used in combating mosquito-borne diseases. …”
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The future of money: cryptocurrency is the way to go in Malaysia / Dr. Zuraidah Mohamed Isa, Dr. Dahlia Ibrahim and Dr. Mohamad Hanif Abu Hassan by Mohamed Isa, Zuraidah, Ibrahim, Dahlia, Abu Hassan, Mohamad Hanif

“…Cryptocurrency is a system that uses computers to mine it, where mining requires the solution of several mathematical algorithms. …”
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