Data Mining Methods for Anomaly Detection of HTTP Request Exploitations

2005 ◽  
pp. 320-323 ◽  
Author(s):  
Xiao-Feng Wang ◽  
Jing-Li Zhou ◽  
Sheng-Sheng Yu ◽  
Long-Zheng Cai
Keyword(s):  
Data Mining ◽  
Anomaly Detection ◽  
Mining Methods

scholarly journals A Survey of Anomaly Detection Using Data Mining Methods for Hypertext Transfer Protocol Web Services

2015 ◽  
Vol 11 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Mohsen Kakavand ◽  
Norwati Mustapha ◽  
Aida Mustapha ◽  
Mohd Taufik Abdullah ◽  
Hamed Riahi
Keyword(s):  
Data Mining ◽  
Web Services ◽  
Anomaly Detection ◽  
Hypertext Transfer Protocol ◽  
Mining Methods ◽  
Using Data ◽  
Transfer Protocol

Data mining methods for anomaly detection KDD-2005 workshop report

2005 ◽  
Vol 7 (2) ◽  
pp. 132-136 ◽  
Author(s):  
Dragos Margineantu ◽  
Stephen Bay ◽  
Philip Chan ◽  
Terran Lane
Keyword(s):  
Data Mining ◽  
Anomaly Detection ◽  
Workshop Report ◽  
Mining Methods

scholarly journals Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection

2021 ◽  
Vol 11 (17) ◽  
pp. 7987
Author(s):  
Aida Kamišalić ◽  
Renata Kramberger ◽  
Iztok Fister
Keyword(s):  
Data Mining ◽  
Anomaly Detection ◽  
Research Area ◽  
Modern Information Technology ◽  
Research Areas ◽  
Blockchain Technology ◽  
Real World Applications ◽  
Mining Methods ◽  
Modern Information ◽  
It Revolution

Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing an important role in the modern Information Technology (IT) revolution. Blockchain has recently been popularized by the rise of cryptocurrencies, while data mining has already been present in IT for many decades. Data stored in a blockchain can also be considered to be big data, whereas data mining methods can be applied to extract knowledge hidden in the blockchain. In a nutshell, this paper presents the interplay of these two research areas. In this paper, we surveyed approaches for the data mining of blockchain data, yet show several real-world applications. Special attention was paid to anomaly detection and fraud detection, which were identified as the most prolific applications of applying data mining methods on blockchain data. The paper concludes with challenges for future investigations of this research area.

THE MODEL FOR THE ANALYSIS OF PHARMACOEPIDEMIOLOGICAL DATA BASED ON DATA MINING METHODS

2017 ◽  
Vol 19 (10) ◽  
pp. 289-298
Author(s):  
I.M. Burykin ◽  
◽  
G.N. Aleeva ◽  
R.Kh. Khafizianova ◽  
◽  
...  
Keyword(s):  
Data Mining ◽  
Mining Methods

Research on diagnostic strategy for faults in VRF air conditioning system using hybrid data mining methods

2021 ◽  
pp. 111144
Author(s):  
Yuzhou Wang ◽  
Zhengfei Li ◽  
Huanxin Chen ◽  
Jianxin Zhang ◽  
Qian Liu ◽  
...  
Keyword(s):  
Data Mining ◽  
Air Conditioning ◽  
Diagnostic Strategy ◽  
Air Conditioning System ◽  
Hybrid Data ◽  
Mining Methods

scholarly journals IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 228598-228604
Author(s):  
Yongqiang Zhao ◽  
Shirui Pan ◽  
Jia Wu ◽  
Huaiyu Wan ◽  
Huizhi Liang ◽  
...  
Keyword(s):  
Data Mining ◽  
Social Computing ◽  
Special Section ◽  
Mining Methods
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