A survey on ensemble learning for data stream classification
Ensemble-based methods are among the most widely used techniques for data stream
classification. Their popularity is attributable to their good performance in comparison to …
classification. Their popularity is attributable to their good performance in comparison to …
Recent advancements in event processing
M Dayarathna, S Perera - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …
event information. In this survey, we summarize the latest cutting-edge work done on EP …
[PDF][PDF] Machine learning in big data
L Wang, CA Alexander - International Journal of Mathematical …, 2016 - academia.edu
Abstract Machine learning is an artificial intelligence method of discovering knowledge for
making intelligent decisions. Big Data has great impacts on scientific discoveries and value …
making intelligent decisions. Big Data has great impacts on scientific discoveries and value …
[HTML][HTML] AndrODet: An adaptive Android obfuscation detector
Obfuscation techniques modify an app's source (or machine) code in order to make it more
difficult to analyze. This is typically applied to protect intellectual property in benign apps, or …
difficult to analyze. This is typically applied to protect intellectual property in benign apps, or …
Pysad: A streaming anomaly detection framework in python
SF Yilmaz, SS Kozat - arXiv preprint arXiv:2009.02572, 2020 - arxiv.org
PySAD is an open-source python framework for anomaly detection on streaming data.
PySAD serves various state-of-the-art methods for streaming anomaly detection. The …
PySAD serves various state-of-the-art methods for streaming anomaly detection. The …
Proposal of real time predictive maintenance platform with 3D printer for business vehicles
Y Yamato, Y Fukumoto, H Kumazaki - International Journal of Information …, 2016 - ijiee.org
This paper proposes a maintenance platform for business vehicles which detects failure sign
using IoT data on the move, orders to create repair parts by 3D printers and to deliver them …
using IoT data on the move, orders to create repair parts by 3D printers and to deliver them …
Security camera movie and ERP data matching system to prevent theft
Y Yamato, Y Fukumoto… - 2017 14th IEEE Annual …, 2017 - ieeexplore.ieee.org
In this paper, we propose a SaaS service which prevents shoplifting using image analysis
and ERP. In Japan, total damage of shoplifting reaches 450 billion yen. Based on cloud and …
and ERP. In Japan, total damage of shoplifting reaches 450 billion yen. Based on cloud and …
The next evolution of MDE: a seamless integration of machine learning into domain modeling
Abstract Machine learning algorithms are designed to resolve unknown behaviors by
extracting commonalities over massive datasets. Unfortunately, learning such global …
extracting commonalities over massive datasets. Unfortunately, learning such global …
Analyzing machine noise for real time maintenance
Y Yamato, Y Fukumoto… - … Conference on Graphic …, 2017 - spiedigitallibrary.org
Recently, IoT technologies have been progressed and applications of maintenance area are
expected. However, IoT maintenance applications are not spread in Japan yet because of …
expected. However, IoT maintenance applications are not spread in Japan yet because of …
Proposal of lambda architecture adoption for real time predictive maintenance
Y Yamato, H Kumazaki… - 2016 fourth international …, 2016 - ieeexplore.ieee.org
Recently, IoT technologies have been progressed and applications of maintenance area are
expected. However, IoT maintenance applications are not spread in Japan yet because of …
expected. However, IoT maintenance applications are not spread in Japan yet because of …