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An analysis of machine learning techniques (J48 & AdaBoost)-for classification
P Pandey, R Prabhakar - 2016 1st India International …, 2016 - ieeexplore.ieee.org
Extraction of relevant Information from data Is a challenging task. Many times an analyst may
end up with an erroneous classifier because of huge, redundant, unreliable and noisy data …
end up with an erroneous classifier because of huge, redundant, unreliable and noisy data …
A comparative study of linear and nonlinear regression models for outlier detection
Abstract Artificial Neural Networks provide models for a large class of natural and artificial
phenomena that are difficult to handle using classical parametric techniques. They offer a …
phenomena that are difficult to handle using classical parametric techniques. They offer a …
[PDF][PDF] Feature selection algorithms for Malaysian dengue outbreak detection model
Dengue fever is considered as one of the most common mosquito borne diseases
worldwide. Dengue outbreak detection can be very useful in terms of practical efforts to …
worldwide. Dengue outbreak detection can be very useful in terms of practical efforts to …
Performance of machine learning using preprocessing and classification for intrusion detection system
T Tun, KK Wai, MS Khaing - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Extracting valuable information from data is a challenging task. Many times, because of
massive, redundant, incorrect and noisy outcomes, an analyst will end up with an incorrect …
massive, redundant, incorrect and noisy outcomes, an analyst will end up with an incorrect …
On machine learning technique selection for classification
Extracting meaningful pattern from data can be challenging. Irrelevant, redundant, noisy and
unreliable data, misinterpretation of results and incompatibility of a technique to extract …
unreliable data, misinterpretation of results and incompatibility of a technique to extract …
The prediction of the epidemic trend of COVID-19 using neural networks
J Yang, Z Shen, X Dong, X Shang, W Li, G ** time-based model for the prediction of breeding activities of dengue vectors using early life cycle variables and epidemiological information in …
H Nur Aida, A Abu Hassan, T Anita, AT Nurita, H Dieng… - 2017 - msptm.org
Autoregressive integrated moving average (ARIMA) was applied to make realtime
predictions on the Aedes egg populations in three selected dengue hotspots of Penang …
predictions on the Aedes egg populations in three selected dengue hotspots of Penang …
Mathematical modelling of dengue pattern in Penang, Malaysia
Dengue fever is an endemic disease in many tropical and subtropical regions. In Malaysia, it
is the leading public health challenge despite the extensive intervention programs by the …
is the leading public health challenge despite the extensive intervention programs by the …