Efficient Data-Mining Methods Enabling Genome-Wide Computing

2008 ◽  
Author(s):  
Wei Wang ◽  
Leonard McMillan ◽  
David "Threadgill," ◽  
Fernando Pardo-Manuel de Villena
Keyword(s):  
Data Mining ◽  
Genome Wide ◽  
Efficient Data ◽  
Mining Methods

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

scholarly journals A Holistic Approach for Quality Oriented Maintenance Planning Supported by Data Mining Methods

Procedia CIRP ◽  
2016 ◽  
Vol 57 ◽  
pp. 259-264 ◽  
Author(s):  
Robert Glawar ◽  
Zsolt Kemeny ◽  
Tanja Nemeth ◽  
Kurt Matyas ◽  
Laszlo Monostori ◽  
...  
Keyword(s):  
Data Mining ◽  
Holistic Approach ◽  
Maintenance Planning ◽  
Mining Methods

scholarly journals Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

2017 ◽  
Vol 8 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Masoud Al Quhtani
Keyword(s):  
Data Mining ◽  
Information Security ◽  
Intrusion Detection ◽  
Mining System ◽  
Systematic Analysis ◽  
New Methods ◽  
Use Of Data ◽  
Efficient Data ◽  
Abuse Risk ◽  
Corporate Information

AbstractBackground: The globalization era has brought with it the development of high technology, and therefore new methods of preserving and storing data. New data storing techniques ensure data are stored for longer periods of time, more efficiently and with a higher quality, but also with a higher data abuse risk. Objective: The goal of the paper is to provide a review of the data mining applications for the purpose of corporate information security, and intrusion detection in particular. Methods/approach: The review was conducted using the systematic analysis of the previously published papers on the usage of data mining in the field of corporate information security. Results: This paper demonstrates that the use of data mining applications is extremely useful and has a great importance for establishing corporate information security. Data mining applications are directly related to issues of intrusion detection and privacy protection. Conclusions: The most important fact that can be specified based on this study is that corporations can establish a sustainable and efficient data mining system that will ensure privacy and successful protection against unwanted intrusions.

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