Locator/identifier split networking: A promising future Internet architecture

B Feng, H Zhang, H Zhou, S Yu - … Communications Surveys & …, 2017 - ieeexplore.ieee.org
The Internet has achieved unprecedented success in human history. However, its original
design has encountered many challenges in the past decades due to the significant …

A parallel multiclassification algorithm for big data using an extreme learning machine

M Duan, K Li, X Liao, K Li - IEEE transactions on neural …, 2017 - ieeexplore.ieee.org
As data sets become larger and more complicated, an extreme learning machine (ELM) that
runs in a traditional serial environment cannot realize its ability to be fast and effective …

[PDF][PDF] Impact of different data types on classifier performance of random forest, naive bayes, and k-nearest neighbors algorithms

A Singh, MN Halgamuge… - International …, 2017 - minerva-access.unimelb.edu.au
This study aims to evaluate impact of three different data types (Text only, Numeric Only and
Text+ Numeric) on classifier performance (Random Forest, k-Nearest Neighbor (kNN) and …

Stability of cloud-based UAV systems supporting big data acquisition and processing

F Luo, C Jiang, S Yu, J Wang, Y Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) technology has been widely applied in both military and
civilian applications. Recent researches on UAV systems feature in the dramatic augment of …

Система сбора, хранения и обработки информации и событий безопасности на основе средств Elastic Stack

ИВ Котенко, АА Кулешов… - Информатика и …, 2017 - proceedings.spiiras.nw.ru
Аннотация В статье рассматривается подход к построению системы сбора, хранения и
обработки информации и событий безопасности на основе средств Elastic Stack …

Aggregation of elastic stack instruments for collecting, storing and processing of security information and events

I Kotenko, A Kuleshov, I Ushakov - 2017 IEEE SmartWorld …, 2017 - ieeexplore.ieee.org
The paper suggests an approach to construction of the system for collecting, storing and
processing of data and security events on the basis of aggregation of instruments provided …

Machine learning for predictive maintenance in aviation

P Korvesis - 2017 - pastel.hal.science
The increase of available data in almost every domain raises the necessity of employing
algorithms for automated data analysis. This necessity is highlighted in predictive …

Data mining techniques for IoT and big data—A survey

A Shobanadevi, G Maragatham - … International Conference on …, 2017 - ieeexplore.ieee.org
Data Mining is the discovery of “models” of data. Data dredging is a process of derogatory
referring to attempts for extracting information that was not supported by the data. Today …

[PDF][PDF] A system for collecting, storing and processing security information and events based on elastic stack tools

I Kotenko, AA Kuleshov, I Ushakov - SPIIRAS Proceedings, 2017 - scholar.archive.org
The paper considers an approach to the design of a system for data and security events
collecting, storing and processing based on Elastic Stack tools. The tasks of monitoring and …

CCFinder: using Spark to find clustering coefficient in big graphs

M Alemi, H Haghighi, S Shahrivari - The Journal of Supercomputing, 2017 - Springer
Networks with billions of vertices introduce new challenges to perform graph analysis in a
reasonable time. Clustering coefficient is an important analytical measure of networks such …