Search Results - classification-data analysis

An analysis of hateful contents detection techniques on social media by Maw, Maw

“…Conclusion: Future researchers must pay more attention on developing techniques to perform a deep analysis of sentences in order to detect the hateful contents. …”
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What to eat today by H'ng, Ivan Zheng Quan

“…The data science lifecycle consists of five distinct phases ranging from acquisition (data collection and data extraction), maintenance (data warehousing, data cleansing), processing (mining data, classification, data modelling and aggregation), analysis (exploratory qualitative analysis, confirmatory analysis, predictive analysis, and qualitative analysis) to communication (data reporting). …”
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Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad by Rahifah, S, Najib, M, Abd Rahman, N, Ismail, NK, Alias, N, Nor, ZM, Alias, MN

“…The results show that SVM has the highest accuracy and k-NN has the best response time (time taken in process for classification data) compare to other classifier. In future, we plan to extend this paper with the analysis on interclass similarity and also test on larger dataset.…”

Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm by Nurcahyawati, Vivine, Mustaffa, Zuriani

“…High dimensionality in data sets is one of the challenges faced in classification, data mining, and sentiment analysis. In the data set, many dimensionalities require effort to simplify. …”
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Survey on highly imbalanced multi-class data by Abdul Hamid, Mohd Hakim, Yusoff, Marina, Mohamed, Azlinah

“…From the earliest literatures published on highly imbalanced data until recently, machine learning research has focused mostly on binary classification data problems. Research on highly imbalanced multi-class data is still greatly unexplored when the need for better analysis and predictions in handling Big Data is required. …”
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Analysis of partial discharge measurement data using a support vector machine by Aziz N.F.A., Hao L., Lewin P.L.

Application of support vector machine for classification of multispectral data by Saiful Bahari, Nurul Iman, Ahmad, Asmala, Mohd Aboobaider, Burhanuddin

“…Accuracy assessment is done by determination and discussion of Kappa coefficient value, overall and producer accuracy for each class (in pixels and percentage). While, visual analysis is done by comparing the classification data with the reference map. …”
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Intelligent Rock Vertical Shaft Impact Crusher Local Database System by Md Sani, Zamani

“…The images and aggregates’ recognition and classification data will be kept in order and it will have a simple and easy way of storing and retrieving information. …”
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Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad by Mohammad Najib S.R., Abd Rahman N., Kamal Ismail N., Alias N., Alias M.N., Zulhilmi Mohamed Nor

Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine by Molla Salilew, W., Ambri Abdul Karim, Z., Alemu Lemma, T.

“…Based on sensitivity analysis, 12 measurement parameters and 11,824 data points were selected for the development of a fault detection and isolation model. …”
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Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine by Molla Salilew, W., Ambri Abdul Karim, Z., Alemu Lemma, T.

“…Based on sensitivity analysis, 12 measurement parameters and 11,824 data points were selected for the development of a fault detection and isolation model. …”
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Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images by Acharya, U.R., Chowriappa, P., Fujita, H., Bhat, S., Dua, S., Koh, J.E.W., Eugene, L.W.J., Kongmebhol, P., Ng, K.H.

“…Various entropy features are extracted from these transformed images and these features are reduced by locality sensitive discriminant analysis (LSDA) and ranked by Relief-F method. Over-sampling strategies with Wilcoxon signed-rank, Friedmans and Iman-Davenport post hoc tests are used to balance the classification data and also to improve the classification performance. …”
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Data filtering framework for preserving meaningful data records from streams of unstructured weather data by Al-Zyadat, Wa'el Jum'ah

“…This research successfully reformatted data collected from sensor-boards which are unstructured, with features that structure raw data to a standardized data format. The analysis of the proposed framework employed three measurements approaches for the validation purposes. …”
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