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» Analyzing Harmonic Monitoring Data Using Data Mining
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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
14 years 11 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
DEXA
2010
Springer
138views Database» more  DEXA 2010»
14 years 7 months ago
Enrichment of Raw Sensor Data to Enable High-Level Queries
Abstract. Sensor networks are increasingly used across various application domains. Their usage has the advantage of automated, often continuous, monitoring of activities and event...
Kenneth Conroy, Mark Roantree
BMCBI
2008
132views more  BMCBI 2008»
14 years 10 months ago
Mixture models for analysis of melting temperature data
Background: In addition to their use in detecting undesired real-time PCR products, melting temperatures are useful for detecting variations in the desired target sequences. Metho...
Christoffer Nellåker, Fredrik Uhrzander, Joa...
DAGSTUHL
2007
14 years 11 months ago
Subspace outlier mining in large multimedia databases
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
Ira Assent, Ralph Krieger, Emmanuel Müller, T...
IMC
2010
ACM
14 years 7 months ago
What happened in my network: mining network events from router syslogs
Router syslogs are messages that a router logs to describe a wide range of events observed by it. They are considered one of the most valuable data sources for monitoring network ...
Tongqing Qiu, Zihui Ge, Dan Pei, Jia Wang, Jun Xu