Search Results - ((data preprocessing) OR (data processing))

An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability by Bouke, Mohamed Aly, Abdullah, Azizol

“…Data leakage, also known as pattern leakage, occurs during data preprocessing when information from the testing set is used in training, leading to overfitting and inflated accuracy scores. …”
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The effect of data preprocessing on the performance of artificial neural networks techniques for classification problems by Atomi, Walid Hasen

“…The performance of Multi-layer Perceptron (MLP) trained with back-propagation artificial neural network (BP-ANN) method is highly influenced by the size of the data-sets and the data-preprocessing techniques used. …”
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Towards preprocessing on criminal chatting corpus. by Marjuni, Siti Hanom, Mahmod, Ramlan, Abd Ghani, Abdul Azim, Md Zain, Abdullah, Sidi, Fatimah

“…Two processes of cleaning data are required in this research. …”
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Region-Based Distance Analysis of Keyphrases: A New Unsupervised Method for Extracting Keyphrases Feature from Articles by Miah, Mohammad Badrul Alam, Suryanti, Awang, Md.Saiful, Azad

“…The proposed method comprises six phases: data acquisition and preprocessing, data processing, distance calculation, average distance, curve plotting, and curve fitting. …”
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Association ruleset formulation for cyberattack attribution process in cyber threat intelligence using apriori algorithm by Abu, Md Sahrom

“…In data preprocessing, a clean and useful data is produced and become as an input for association analysis process. …”
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Keyphrase distance analysis technique from news articles as a feature for keyphrase extraction: An unsupervised approach by Miah, Mohammad Badrul Alam, Suryanti, Awang, Rahman, Md Mustafizur, Sanwar Hosen, A. S. M.

“…This preprocessed data is then employed in the data processing phase, where it is routed to the keyphrase searching, distance computation, and distance averaging phases. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Pei, Chun Lin

“…This study aims to bridge this gap by presenting a comprehensive framework tailored to efficiently handle uncertainty during the preprocessing stage. The proposed framework not only acknowledges the importance of data preprocessing but also offers a systematic approach to processing fuzzy random data, thus providing a robust foundation for portfolio selection algorithms. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

“…This study aims to bridge this gap by presenting a comprehensive framework tailored to efficiently handle uncertainty during the preprocessing stage. The proposed framework not only acknowledges the importance of data preprocessing but also offers a systematic approach to processing fuzzy random data, thus providing a robust foundation for portfolio selection algorithms. …”
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Automated exploration data analysis tool by Koh, Yu Bin

“…Text preprocessing features, such as tokenization and stop word removal are incorporated to handle textual data more effectively. …”
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Computer big data analysis and predictive maintenance based on deep learning by Jing, Gao, Ismail, Normala, Yanjun, Gao

“…Theoretical research results such as computer big data analysis and machine learning are essential support for the design of convenient and effective deep learning models, however, existing studies seldom viewed this problem from the perspectives of computer big data sampling, parallel processing optimization, data preprocessing, and predictive maintenance. …”
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Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

Subjects: “…Electronic data processing. Maple (Computer file)…”
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RELMARK: An innovative algorithm for preprocessing of transactional business data by Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini, Hashim, Kamarul Faizal

“…Association rule mining is a popular research topic due to many useful applications.The initial task in producing association rule is to ensure that only suitable data formats are fed into the mining process.Providing a correct data format for association rule mining is an essential and crucial task as wrong data will yield wrong results and interpretations.In this research work, an efficient algorithm for converting relational data format into transactional data format is presented.This transactional data format suited the SAS Enterprise Miner Software for association rule mining technique. …”
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APPLICATIONS OF MULTIVARIATE MODELING IN THE HYDROCARBON INDUSTRY by V. R. , Radhakrishnan, H., Zabiri, D. T. , Van

“…However careful variable selection and data preprocessing is required for developing adequate models from this data. …”
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Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

“…Text preprocessing ensures consistent data representation and facilitates validation. …”
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Error-Control Truncated SVD Technique for In-Network Data Compression in Wireless Sensor Networks by Alam, M.K., Aziz, A.A., Latif, S.A., Aziz, A.A.

“…Inconsistency of data and high computational process in cluster formation remain to be challenging issues of in-network data compression particularly for energy-constraint WSNs. …”
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Error-Control Truncated SVD Technique for In-Network Data Compression in Wireless Sensor Networks by Alam, M.K., Aziz, A.A., Latif, S.A., Aziz, A.A.

“…Inconsistency of data and high computational process in cluster formation remain to be challenging issues of in-network data compression particularly for energy-constraint WSNs. …”
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Feature selection for financial data classification: Islamic finance application by Kartiwi, Mira, Gunawan, Teddy Surya, Arundina, Tika, Omar, Mohd. Azmi

“…The rapid growth of computing technology to process vast amount of data has impelled more interest in data mining. …”
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Preprocessing And Pretraining Of Multilayer Feed Forward Neural Network by Asadi, Roya

“…It consists of a new preprocessing technique which combines data preprocessing and pre-training that offer a number of advantages; training cycle, gradient of mean square error function, and updating weights are not needed in this model. …”
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Training process reduction based on potential weights linear analysis to accelerate back propagation network. by Asadi, Roya, Mustapha, Norwati, Sulaiman, Md. Nasir

“…One good data preprocessing technique for accelerating BPN classification is dimension reduction technique but it has problem of missing data. …”
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Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan by Muhammad Sadiq , Khan

“…Uncertain data cannot be processed by using the regular tools and techniques of clear data. …”
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