Aleksandar Lazarevic

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Aleksandar Lazarevic (Serbian Cyrillic: Александар Лазаревић) is a computer scientist who specializes in research on Data mining.[1][2] In addition, his research interests include security applications, video surveillance, parallel and distributed computing.

He earned B.Sc and M.Sc. degrees in Computer Science and Engineering from the University of Belgrade's Faculty of Electrical Engineering in 1994 and 1997 respectively. In 1997, he went to United States, and in 2001, he received the PhD degree in Computer and Information Science from Temple University in Philadelphia.

He works as a Senior Research Scientist at United Technologies Research Center, in Connecticut and as a Research Associate at the Army High Performance Computing Research Center at the Institute of Technology of the University of Minnesota.

He has co-edited the book Managing Cyber Threats: Issues, Approaches, and Challenges published by Springer in May 2005, and co-authored more than 40 research articles. His most cited article, "A comparative study of anomaly detection schemes in network intrusion detection" by Aleksandar Lazarevic, Levent Ertoz* Vipin Kumar, Aysel Ozgur, and Jaideep Srivastava in Proceedings of the Third SIAM International Conference on Data Mining[3] has been cited 483 times in Google Scholar. His next most cited, "SMOTEBoost: Improving prediction of the minority class in boosting", by Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer in Knowledge Discovery in Databases: PKDD 2003 ;Lecture Notes in Computer Science Volume 2838, 2003, pp 107-119 has been cited 321 times.

References[edit]

  1. ^ Lazarevic, Aleksandar; Vipin Kumar (2005). "Feature bagging for outlier detection": 157. doi:10.1145/1081870.1081891. 
  2. ^ Whang, Kyu-Young (2003). Advances in knowledge discovery and data mining: 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30-May 2, 2003 : proceedings. Springer. pp. 5–. ISBN 978-3-540-04760-5. Retrieved 25 September 2011. 
  3. ^ [1]