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Adaptive Methods for Activity Monitoring of Streaming Data  (Make Corrections)  
Vasundhara Puttagunta and Konstantinos Kalpakis Computer Science Electrical...



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Abstract: Activity monitoring deals with monitoring data (usually streaming data) for interesting events. It has several applications such as building an alarm or an alert system that triggers when outliers or change points are detected. (Update)

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BibTeX entry:   (Update)

@misc{ and-adaptive,
  author = "Vasundhara Puttagunta And",
  title = "Adaptive Methods for Activity Monitoring of Streaming Data",
  url = "citeseer.ist.psu.edu/700723.html" }
Citations (may not include all citations):
519   System Identification: Theory for the User (context) - Ljung - 1999
377   Robust regression and outlier detection (context) - Rousseeuw, Leroy - 1987
244   Theory and Practice of Recursive Identification (context) - Ljung, Soderstrom - 1983
60   Algorithms for mining distancebased outliers in large datase.. - Knorr, Ng - 1998
34   An online algorithm for segmenting time series - Keogh, Chu et al. - 2001
33   Activity monitoring: Noticing interesting changes in behavio.. - Fawcett, Provost - 1999
27   Event detection from time series data (context) - Guralnik, Srivastava - 1999
17   DEMON: Mining and monitoring evolving data - Ganti, Gehrke et al. - 2000
15   Online data mining for coevolving time sequences - Yi, Sidiropoulos et al. - 2000
13   OPTICS-OF: Identifying local outliers - Breunig, Kriegel et al. - 1999
13   line unsupervised outlier detection using finite mixtures wi.. - Yamanishi, Takeuchi et al. - 2000
1   Defection detection (context) - Raghavan, Bell et al. - 2000
1   Data mining to detect abnormal behavior in aerospace data (context) - Pea, Famili et al. - 2000
1   Journal of American Statistical Association (context) - Guthery - 1994
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