• Corpus ID: 212512355

EMPWC: Expectation Maximization with Particle Swarm Optimization based Weig- hted Clustering for Outlier Detection in Large Scale Data

@inproceedings{Rajeswari2017EMPWCEM,
  title={EMPWC: Expectation Maximization with Particle Swarm Optimization based Weig- hted Clustering for Outlier Detection in Large Scale Data},
  author={J. Rajeswari and Ramalingam Gunasundari},
  year={2017}
}
Outlier detection is usually considered as a pre-processing step for locating in a data set, those objects that do not conform to well-defi ned notions of expected behaviour. It is very important in data mining for discovering novel or rare events, anomalies, vicious actions, exceptional phenomena etc. However, investigation of outlier detection for categorical data sets is especially a challenging task because of the diffi culty of defi ning a meaningful similarity measure. In addition, one… 
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