TY - GEN
T1 - Facebook traffic pattern analytics
AU - Chen, C.
AU - Iglasias, J.
AU - Lin, X.
AU - Li, J. J.
AU - Morreale, P.
AU - Ness, Linda
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/8/15
Y1 - 2016/8/15
N2 - This paper presents a study of applying a new data pattern recognition approach, called Product Coefficients (PCs), to discover patterns of Facebook network and service traffic. It includes three parts: 1) collection of service response time and packages as the initial data set, 2) preprocessing of the data sets and discovers of PCs values as patterns of the data set. 3) displaying of the patterns for simple outlier detection. Additional research is ongoing related to the post processing of PCs values for prediction, e.g. using machine learning to decide if outliers are indicators of a security attack. The key contribution of this work is the application of PCs method to some practical Facebook traffic data.
AB - This paper presents a study of applying a new data pattern recognition approach, called Product Coefficients (PCs), to discover patterns of Facebook network and service traffic. It includes three parts: 1) collection of service response time and packages as the initial data set, 2) preprocessing of the data sets and discovers of PCs values as patterns of the data set. 3) displaying of the patterns for simple outlier detection. Additional research is ongoing related to the post processing of PCs values for prediction, e.g. using machine learning to decide if outliers are indicators of a security attack. The key contribution of this work is the application of PCs method to some practical Facebook traffic data.
KW - Machine learning
KW - Outliers
KW - Predictive analytics
KW - Statistical patterns
UR - http://www.scopus.com/inward/record.url?scp=85028595621&partnerID=8YFLogxK
U2 - 10.1145/2955129.2955161
DO - 10.1145/2955129.2955161
M3 - Conference contribution
AN - SCOPUS:85028595621
SN - 9781450341295
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016
PB - Association for Computing Machinery
T2 - 3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016
Y2 - 15 August 2016 through 17 August 2016
ER -