[PDF][PDF] Improved J48 classification algorithm for the prediction of diabetes
G Kaur, A Chhabra - International journal of computer applications, 2014 - Citeseer
This research work deals with efficient data mining procedure for predicting the diabetes
from medical records of patients. Diabetes is a very common disease these days in all …
from medical records of patients. Diabetes is a very common disease these days in all …
Network traffic classification techniques and comparative analysis using machine learning algorithms
Network Traffic Classification is a central topic nowadays in the field of computer science. It
is a very essential task for Internet service providers (ISPs) to know which types of network …
is a very essential task for Internet service providers (ISPs) to know which types of network …
[HTML][HTML] Machine learning prediction approach to enhance congestion control in 5G IoT environment
The 5G network is a next-generation wireless form of communication and the latest mobile
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …
IoT and cloud computing based automatic epileptic seizure detection using HOS features based random forest classification
K Singh, J Malhotra - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Epilepsy, a fatal neurological disorder, has been emerged as a worldwide problem and is
one of the major risks to human lives. There exists an urgent need for an efficient technique …
one of the major risks to human lives. There exists an urgent need for an efficient technique …
[HTML][HTML] A C4. 5 algorithm for english emotional classification
PV Ngoc, CVT Ngoc, TVTH Ngoc, DN Duy - Evolving Systems, 2019 - Springer
The solutions for processing sentiment analysis are very important and very helpful for many
researchers, many applications, etc. This new model has been proposed in this paper, used …
researchers, many applications, etc. This new model has been proposed in this paper, used …
Ensemble regression-based gold price (XAU/USD) prediction
ZH Kilimci - Journal of Emerging Computer Technologies, 2022 - dergipark.org.tr
The prediction of any commodities such as cryptocurrency, stocks, silver, gold is a
challenging task for the investors, researchers, and analysts. In this work, we propose a …
challenging task for the investors, researchers, and analysts. In this work, we propose a …
Cloud based ensemble machine learning approach for smart detection of epileptic seizures using higher order spectral analysis
K Singh, J Malhotra - Physical and Engineering Sciences in Medicine, 2021 - Springer
The present paper proposes a smart framework for detection of epileptic seizures using the
concepts of IoT technologies, cloud computing and machine learning. This framework …
concepts of IoT technologies, cloud computing and machine learning. This framework …
Detecting DDoS attacks using decision tree algorithm
S Lakshminarasimman, S Ruswin… - … conference on signal …, 2017 - ieeexplore.ieee.org
The Wide-reaching usage of the standard called as IEEE 802.111 has been acting as a
solution to support aggressive network coverage with high bandwidth raised various security …
solution to support aggressive network coverage with high bandwidth raised various security …
[PDF][PDF] Performance evaluation of supervised machine learning algorithms using multi-criteria decision making techniques
JET Akinsola, O Awodele… - Proceedings …, 2019 - academiainformationtechnology.org
The choice of classification algorithm in Machine Learning (ML) is a major issue cutting
across several disciplines due to the uncertainty in human judgment in the ranking of …
across several disciplines due to the uncertainty in human judgment in the ranking of …
Determining suitable machine learning classifier technique for prediction of malaria incidents attributed to climate of Odisha
P Mohapatra, NK Tripathi, I Pal… - International Journal of …, 2022 - Taylor & Francis
This study investigated the influence of climate factors on malaria incidence in the
Sundargarh district, Odisha, India. The WEKA machine learning tool was used with two …
Sundargarh district, Odisha, India. The WEKA machine learning tool was used with two …