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» FuncICA for Time Series Pattern Discovery.
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ICST
2009
IEEE
14 years 5 days ago
Seasonal Variation in the Vulnerability Discovery Process
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
HyunChul Joh, Yashwant K. Malaiya
JSS
2011
126views more  JSS 2011»
12 years 8 months ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 5 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
14 years 5 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 5 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...