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Author Title Year Journal/Proceedings Reftype DOI/URL
Bansal, R., Gaur, N. and Singh, S.N. Outlier Detection: Applications and techniques in Data Mining 2016 2016 6th International Conference – Cloud System and Big Data Engineering (Confluence), pp. 373-377 inproceedings DOI URL
Bessey, A., Block, K., Chelf, B., Chou, A., Fulton, B., Hallem, S., Henri-Gros, C., Kamsky, A., McPeak, S. and Engler, D. A Few Billion Lines of Code Later: Using Static Analysis to Find Bugs in the Real World 2010 Commun. ACM

Vol. 53(2), pp. 66-75

article DOI URL
Chandola, V., Banerjee, A. and Kumar, V. Anomaly Detection: A Survey 2009 ACM Comput. Surv.

Vol. 41(3), pp. 15:1-15:58

article DOI URL
Chang, C.-C. and Lin, C.-J. LIBSVM: A Library for Support Vector Machines 2011 ACM Trans. Intell. Syst. Technol.

Vol. 2(3), pp. 27:1-27:27

article DOI URL
Crammer, K., Dekel, O., Keshet, J., Shalev-Shwartz, S. and Singer, Y. Online Passive-Aggressive Algorithms 2006 J. Mach. Learn. Res.

Vol. 7, pp. 551-585

article URL
Du, H., Zhao, S., Zhang, D. and Wu, J. Novel clustering-based approach for Local Outlier Detection 2016 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 802-811 inproceedings DOI URL
Esling, P. and Agon, C. Time-series Data Mining 2012 ACM Comput. Surv.

Vol. 45(1), pp. 12:1-12:34

article DOI URL
Radhakrishna, V., Kumar, P.V. and Janaki, V. A Survey on Temporal Databases and Data Mining 2015 Proceedings of the The International Conference on Engineering & MIS 2015, pp. 52:1-52:6 inproceedings DOI URL
Sen, R. and Balan, R.K. Challenges and Opportunities in Taxi Fleet Anamaly Detection 2013 ACM, New York,(1), pp. 6 article URL
Silva, J.A., Faria, E.R., Barros, R.C., Hruschka, E.R., Carvalho, A.C.P.L.F.d. and Gama, J.a. Data Stream Clustering: A Survey 2013 ACM Comput. Surv.

Vol. 46(1), pp. 13:1-13:31

article DOI URL
Szabo, G. and Huberman, B.A. Predicting the Popularity of Online Content 2010 Commun. ACM

Vol. 53(8), pp. 80-88

article DOI URL
Tufféry, S. Data Mining and Statistics for Decision Making 2011 book URL
Xin, R.S., Rosen, J., Zaharia, M., Franklin, M.J., Shenker, S. and Stoica, I. Shark: SQL and Rich Analytics at Scale 2013 Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp. 13-24 inproceedings DOI URL
Xu, H., Mao, R., Liao, H., Lu, M. and Zhang, H. Closest neighbors excluded outlier detection 2016 2016 IEEE International Conference of Online Analysis and Computing Science (ICOACS), pp. 105-110 inproceedings DOI URL
Yong, Q., Wang, Y.H. and Jia, L.M. Study on Prediction Method of Data Mining based on Segmented FNN and Its Railway Application Case. 2007 International MultiConference of Engineers & Computer Scientists 2007 (Volume 1), pp. 746 – 751 article URL
Zheng, Y. Trajectory Data Mining: An Overview 2015 ACM Trans. Intell. Syst. Technol.

Vol. 6(3), pp. 29:1-29:41

article DOI URL
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