Search Results - data learning techniques

Credit Card Fraud Detection Using New Preprocessing And Hybrid Machine Learning Techniques by Gasim, Esraa Faisal Malik

“…The first contribution of this research is to develop a new preprocessing technique that utilizes cost-sensitive learning and resampling techniques at the data-level to improve the performance of highly imbalanced datasets. …”
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Student classification in adaptive hypermedia learning system using neural network by Yusob, Bariah, Ahmad, Nor Bahiah, Abd Halim, Shahliza, Yusof, Norazah, Shamsuddin, Siti Mariyam

“…Data about the student will be collected using implicit and explicit extraction technique. …”
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A generalized e-learning usage behaviour model by data mining technique by Chayanukro, Songsakda, Mahmuddin, Massudi, Husni, Husniza

“…This study proposes to produce a general model that can make a prediction of learning outcome inspired by Skinner’s theory, which explains the relationship between learner, achievement, and learner reinforcement.This study proposes similar patterns in e-Learning user’s behaviour models of different institutions by the data-mining technique based on the learning environment theory.Therefore, this research is conducted in three main phases; include data preparation from weblog of different institutions with the same e-Learning system, data extraction by the accurate classifier model finding process and model verification for generating a verification pattern.The research outcome will be a similar pattern that could be used as a direction for creating a more appropriate e-Learning users’ behaviour model and could be used broadly in other higher institutions.…”
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Learning relational data using clustering ensembles techniques by Tan, Soo Fun, Rayner Alfred, Chin, Kim On

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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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Damage identification for multi-rotor drone using convolutional neural network technique by Ma, Yumeng

“…After the data collection,the data preprocessing techniques linear interpolation method Laida criterion were adopted to process the missing data and inconsistent data.For damage identification,three machine learning techniques, including decision tree, random forest, K-Nearest- Neighbours (KNN) were adopted to identify the damage for multi-rotor drone and finally with the accuracy of 68.74%, 67.96%, 91.71%, respectively. …”
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A systematic review of machine learning and deep learning techniques for anomaly detection in data mining by Tahir, Mahjabeen, Abdullah, Azizol, Izura Udzir, Nur, Azhar Kasmiran, Khairul

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Classification and change detection of Sabah mangrove forest using decision-tree learning technique by Kamaruddin, N.A., Shigeo, F.

“…The results show that the use of decision-tree learning technique integrated with multi-temporal Landsat series and GIS data can be effective in delineating spatial and temporal change of the Sabah mangrove forest. …”
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Synthetic image data generation via rendering techniques for training AI-based instance segmentation by Kho, Dickson Yik Cheng, Norazlianie, Sazali, Ismayuzri, Ishak, Saiful Anwar, Che Ghani

“…Synthetic image data generation has gained popularity in computer vision and machine learning in recent years. …”
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Learning And Optimization Of The Kernel Functions From Insufficiently Labeled Data by Abbasnejad, M. Ehsan

“…Amongst all the machine learning techniques, kernel methods are increasingly becoming popular due to their efficiency, accuracy and ability to handle high-dimensional data. …”
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Development of an intelligent prediction tool for rice yield based on machine learning techniques by Md. Sap, Mohd. Noor, Awan, A. M.

“…This paper presents work on developing a software system for predicting rice yield from climate and plantation data. In this work. the main focu s is on classification and clustering techniques for data analysis based on statistical and machine learning approaches. …”
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A review on machine learning in smart antenna: methods and techniques by Mohammed Sadiq, Sulaiman, Nasri, Mohd Isa, Maryam, Hamidon, Mohd Nizar

“…Machine learning is a technique in which a machine learns and improves on its own, based on past data. …”
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Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

“…One of the problems addressed by machine learning is data classification. Finding a good classification algorithm is an important component of many data mining projects. …”
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Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga by Mwenge , Mulenga

“…At the same time, there has been growing interest from the research community in machine learning based detection of diseases using sequence based on gut microbiome data. …”
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A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications by Usmani, U.A., Happonen, A., Watada, J.

“…Unsupervised learning, also known as unsupervised machine learning, analyzes and clusters unlabeled data utlizing machine learning techniques. …”
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Communication Efficient Decentralized Collaborative Learning Of Heterogeneous Deep Learning Models Using Distillation And Incentive-Based Techniques by Iqbal, Zahid

“…Smart devices, collectively, have very valuable and real-time data which can be used to train very efficient deep learning models for AI applications. …”
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Effects of three vocabulary learning techniques on vocabulary retention by Zuraina, Ali

“…Firstly,it aims at finding which of the vocabulary learning techniques may result in the highest number of words retained, as measured in the immediate and delayed recall tests.Secondly, it investigates the students' attitudes after they are exposed to the vocabulary learning techniques. …”
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Effects of three vocabulary learning techniques on vocabulary retention of ESL undergraduates in a Malaysian university by Ali, Zuraina

“…Secondly, it investigates the students' attitudes after they are exposed to the vocabulary learning techniques. Finally, it seeks to find out students' preferences and difficulties of using the techniques in retaining words learnt. …”
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Adaptive Feature Selection and Image Classification Using Manifold Learning Techniques by ASHRAF, AMNA, MOHD NAWI, NAZRI, MUHAMMAD AAMIR, MUHAMMAD AAMIR

“…Manifold learning techniques aim to the non-linear dimension reduction of data. …”
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Single-cell classification, analysis, and its application using deep learning techniques by Premkumar, R., Srinivasan, Arthi, Harini Devi, K.G., Deepika, M., Gaayathry, E., Jadhav, Pramod, Futane, Abhishek, Narayanamurthy, Vigneswaran

“…To overcome these challenges, various deep learning techniques (DL) have outperformed standard state-of-the-art computer algorithms in SCA techniques. …”
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