A review of machine learning algorithms for web page classification
L Safae, B El Habib… - 2018 IEEE 5th International …, 2018 - ieeexplore.ieee.org
The internet contains a large amount of data, to exploit it a special treatment of its content
should be done, and a particular web information system should be developed. As a critical …
should be done, and a particular web information system should be developed. As a critical …
Analysis of clustering technique in android malware detection
AAA Samra, K Yim, OA Ghanem - 2013 seventh international …, 2013 - ieeexplore.ieee.org
Mobile computing is an important field in information technology, because of the wide use of
mobile devises and mobile applications. Clustering gives good results with information …
mobile devises and mobile applications. Clustering gives good results with information …
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 …
Feature selection optimization using ACO to improve the classification performance of web log data
Web mining plays a salient role in today's era of an interconnected network to comprehend
the manner in which users browse the websites. Web mining can be classified into three …
the manner in which users browse the websites. Web mining can be classified into three …
Random forest and logistic regression algorithms: A comparison of their performance
P Prakash, S Bhanu, SD Bigul - AIP Conference Proceedings, 2023 - pubs.aip.org
With their digital marketing efforts, banks are now attempting to address the needs of their
existing clients. By storing large-scale data gathered from marketing studies, it is known to …
existing clients. By storing large-scale data gathered from marketing studies, it is known to …
Instance labeling in semi-supervised learning with meaning values of words
In supervised learning systems; only labeled samples are used for building a classifier that
is then used to predict the class labels of the unlabeled samples. However, obtaining …
is then used to predict the class labels of the unlabeled samples. However, obtaining …
DDoS Attacks Detection using Machine Learning
MY Sabir - 2023 - dspace.library.uvic.ca
The advancement in information technology has created a new era named as Internet of
Things (IoT). This new technology has allowed things to be connected to the Internet, for …
Things (IoT). This new technology has allowed things to be connected to the Internet, for …
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 …
KerMinSVM for imbalanced datasets with a case study on arabic comics classification
A Nayal, H Jomaa, M Awad - Engineering Applications of Artificial …, 2017 - Elsevier
Many studies have been performed to classify large-sized text documents using different
classifiers, ranging from simple distance classifiers such as K-Nearest-Neighbor (KNN) to …
classifiers, ranging from simple distance classifiers such as K-Nearest-Neighbor (KNN) to …
Comparative performance analysis of random forest and logistic regression algorithms
ABV Malkoçoğlu, ŞU Malkoçoglu - 2020 5th International …, 2020 - ieeexplore.ieee.org
Today, banks are trying to meet the needs of their existing customers with the marketing
activities they do in digital media. It is known to produce statistical results in order to be able …
activities they do in digital media. It is known to produce statistical results in order to be able …