Network traffic data to ARFF converter for association rules technique of data mining

2014 ◽  
Author(s):  
Nattawat Khamphakdee ◽  
Nunnapus Benjamas ◽  
Saiyan Saiyod
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Network Traffic ◽  
Traffic Data

Data Mining’s Network Traffic Data Analysis in Android Mobile Terminal

2014 ◽  
Vol 644-650 ◽  
pp. 2055-2058
Author(s):  
De Huai Tang
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Network Traffic ◽  
Rapid Development ◽  
Mobile Terminal ◽  
Traffic Data ◽  
Communication Industry ◽  
Network Traffic Analysis ◽  
Network Speed ◽  
Operation And Management

With the rapid development of communication industry in China from 2G to 4G networks, operators’ competition is intense in data flow business. Android mobile terminal is now widely used by people. Network traffic analysis is the premise to improve network speed and real needs of customers, excavate valuable information in vast amounts of data, and an important work for network providers analyzing flow rate and value. This paper mainly introduced the relevant contents of data mining, and data mining’s network traffic data analysis in Android mobile terminal.With the development of computer technology, network technology, and information technology, telecommunications enterprises accumulated a large amount of information resources and business data in the process of operation and management. How to find correlated, regular, and valuable information from these massive, disorderly, growing data is the problem facing enterprises, and data mining provides us with an effective solution.

Privacy preserving data mining of sequential patterns for network traffic data

2008 ◽  
Vol 178 (3) ◽  
pp. 694-713 ◽  
Author(s):  
Seung-Woo Kim ◽  
Sanghyun Park ◽  
Jung-Im Won ◽  
Sang-Wook Kim
Keyword(s):  
Data Mining ◽  
Network Traffic ◽  
Privacy Preserving ◽  
Sequential Patterns ◽  
Traffic Data ◽  
Privacy Preserving Data Mining

scholarly journals Detection of DOS-attacks in network traffic by the method of Wavelet-transformation

2020 ◽  
Author(s):  
V. I. Dubrovin ◽  
◽  
B. V. Petryk ◽  
G. V. Nelasa ◽  
◽  
...  
Keyword(s):  
Data Mining ◽  
Wavelet Transform ◽  
Data Analysis ◽  
Data Streams ◽  
Network Traffic ◽  
Wavelet Transformation ◽  
Traffic Data ◽  
Dos Attacks ◽  
Transform Method ◽  
Numerous Data

Network traffic data analysis is very important for detecting DOS attacks and malicious anomalies. Many data mining techniques have been found to manage data and use it for security purposes. Fast and accurate search for content-based queries is critical to making such numerous data streams useful. This paper proposes an analysis of the deauthentication attack and the localization of the anomaly data by the wavelet transform method.

Characterizing ADSL customer behaviours by network traffic data-mining

2007 ◽  
Vol 62 (3-4) ◽  
pp. 350-368
Author(s):  
Françoise Fessant ◽  
Joël François ◽  
Fabrice Clérot
Keyword(s):  
Data Mining ◽  
Network Traffic ◽  
Traffic Data

How Useful Can Be Data Mining For A Continuos Speech Therapist’s Education?

2014 ◽  
Vol 1 (1) ◽  
pp. 339-342
Author(s):  
Mirela Danubianu ◽  
Dragos Mircea Danubianu
Keyword(s):  
Data Mining ◽  
Information And Communication Technology ◽  
Association Rules ◽  
Communication Technology ◽  
Speech Therapy ◽  
Proper Treatment ◽  
Speech Impairments ◽  
Information And Communication ◽  
Specific Education

AbstractSpeech therapy can be viewed as a business in logopaedic area that aims to offer services for correcting language. A proper treatment of speech impairments ensures improved efficiency of therapy, so, in order to do that, a therapist must continuously learn how to adjust its therapy methods to patient's characteristics. Using Information and Communication Technology in this area allowed collecting a lot of data regarding various aspects of treatment. These data can be used for a data mining process in order to find useful and usable patterns and models which help therapists to improve its specific education. Clustering, classification or association rules can provide unexpected information which help to complete therapist's knowledge and to adapt the therapy to patient's needs.

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