Now showing items 1-6 of 6
Clustering and Feature Selection Technique for Improving Internet Traffic Classification Using K-NN
(Journal of Advances in Computer Networks, 2016-03-01)
Abstract—This research will use the algorithm K-Nearest Neighbour (K-NN) to classify internet data traffic, K-NN is suitable for large amounts of data and can produce a more accurate classification, K-NN algorithm has a ...
Analysis Of Cloud Computing Adoption For Point of Sales Application in Indonesian Small Medium Enterprise
The expansion of Internet technology and cloud computing evolution are empowering small and medium enterprises (SMEs) have an opportunity to utilize the affordable cost of information technology and does not require an ...
Improving K-NN Internet Traffic Classification Using Clustering and Principle Component Analysis
(Institute of Advanced Engineering and Science - Indonesia Section, 2017-06-30)
K-Nearest Neighbour (K-NN) is one of the popular classification algorithm, in this research K-NN use to classify internet traffic, the K-NN is appropriate for huge amounts of data and have more accurate classification, ...
Cloud Computing Point of Sales Development for Indonesia Small Medium Enterprise
(Universiti Teknikal Malaysia Melaka, 2018)
The agile development of Internet technology and cloud computing are frequently prevailing create small and medium enterprises (SMEs) have an opportunity to be able to utilize information technology at a cost that is ...
Clustering and Principal Feature Selection Impact for Internet Traffic Classification Using K-NN
Abstract K-NN is a classification algorithm which suitable for large amounts of data and have higher accuracy for internet traffic classification, unfortunately K-NN algorithm has disadvantage in computation time because ...
Point of Sales Application Based on Cloud Computing Adoption For Indonesian Small Medium Enterprise : Qualitative Study
(ACM Proceeding, 2016-11-29)
ABSTRACT The internet technology and cloud computing development are increasing the opportunity for small and medium enterprises (SMEs) to be able adopt information technology at an affordable and does not require an ...