Search Results - (( java implication _ algorithm ) OR ( missing process ((using algorithm) OR (mining algorithm)) ))

Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.] by Hashad, Alaa Amin, Khaw, Khai Wah, Alnoor, Alhamzah, Chew, Xin Ying

“…Data pre-processing was performed to clean and encode the data to be used in the model. …”
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Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset by Amirruddin, A., Aziz, I.A., Hasan, M.H.

“…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
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Data Mining Analysis Of Chronic Kidney Disease (CKD) Level by Mohd Harizi, Muhammad Hafizam Afiq

“…Adding the uncertain class the best accuracy obtained was 98.5% using the SMO algorithm. A predictive classification model that determines the accuracy for three classification classes was developed accordingly using the SMO algorithm.…”
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A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts by Nur Faiqah ‘Aqilah binti Fuaad

Data Mining Approach To Classify Covid-19 Severity By Clinical Symptoms by Kanyan, Laura Jasmine Thomas

“…Missing values were treated using filtering and imputation methods. …”
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Performance analysis of machine learning algorithms for missing value imputation by Ismail, Amelia Ritahani, Zainal Abidin, Nadzurah, Emran, Nurul Akmar

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Sentiment analysis of customer review for Tina Arena Beauty by Amri, Nur Najwa Shahirah

“…Customer review data were collected from multiple platforms and processed using Natural Language Processing (NLP) techniques such as Term Frequency-Inverse Document Frequency (TF-IDF). …”
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Performance analysis of machine learning algorithms for missing value imputation by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, Emran, Nurul Akmar

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Detection Of Misplaced And Missing Regions In Image Using Neural Network by Tan , Jin Siang

“…The neural network uses the RGB value from the image processing phase and analyzes the regions to check whether there is misplaced or missing jigsaw puzzle. …”
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Missing tags detection algorithm for radio frequency identification (RFID) data stream by Zainudin, Nur 'Aifaa

“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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Systematic review on missing data imputation techniques with machine learning algorithms for healthcare by Ismail, Amelia Ritahani, Zainal Abidin, Nadzurah, Maen, Mohd Khaled

“…Many machine learning algorithms have been applied to impute missing data with plausible values. …”
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Missing values imputation tool using imputex algorithm by Sidi, Fatimah, Abdullah, Lili Nurliyana, Alabadla, Mustafa, Ishak, Iskandar

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Real time power quality event detection using continuous wavelet transform by Tan R.H.G., Ramachandaramurthy V.K.

“…A test bench setup with voltage sag generator is used to test the performance of the proposed algorithm. …”

Development of an imputation technique - INI for software metric database with incomplete data by Wasito, Ito, Olanrewaju, Rashidah F.

“…This technique was used for estimating missing data in a software engineering database (PROMISE). …”
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Missing point on the corner by using extension cases of advancing front mesh method by Awang, Noorehan, O. K. Rahmat, Rahmita Wirza, Ng, Seng Beng, Jaafar, Azmi, Sulaiman, Puteri Suhaiza, Ilias, Mohd Rijal

“…The holes focused was on the missing point on the corner of the object. In the algorithm, object was chosen and two procedure used to achieved the results. …”
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Intelligent imputation method for mix data-type missing values to improve data quality by Alabadla, Mustafa R. A.

“…A common challenge is the occurrence of missing data during the data input process. Numerous studies have proposed methods to impute missing values for data across multiple fields. …”
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Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network by Dayang Suhaila, Awang Suhaili

“…Bedup station located in Batang Sadong Basin, Sarawak.ANN is undoubtedly a strong tool for forecasting various non- linear hydrologic processes, including the missing precipitation and water level prediction. …”
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Tangible interaction learning model to enhance learning activity processes among children with dyslexia by Jamalai@Jamali, Siti Nurliana

“…A common challenge is the occurrence of missing data during the data input process. Numerous studies have proposed methods to impute missing values for data across multiple fields. …”
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Using Text Analytics on Social Media Posts to Identify Cues or Features of Depressive Behavior by Ibrahim A.H., Cob Z.C., Drus S.M., Latif A.A., Radzi H.M., Anwar R.M.

“…This study used the cross-industry process for data mining (crisp-dm) methodology for developing the depression detection model. …”

Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

“…The total number of existing oil palm trees and the number of missing trees together with its individual coordinates can be obtained using this graphical interface.…”
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