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MOBIQUITOUS
2005
IEEE
14 years 1 months ago
Correlation Analysis for Alleviating Effects of Inserted Data in Wireless Sensor Networks
This paper introduces a new approach that addresses data contamination problems from attacks in unattended wireless sensor networks. We propose a sliding-window based spatio-tempo...
Sapon Tanachaiwiwat, Ahmed Helmy
BIBE
2006
IEEE
112views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration
The analysis of alignments of functionally equivalent proteins can reveal regularities such as correlated positions or residue patterns which are important to ensure a specific f...
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus...
IPMU
2010
Springer
13 years 5 months ago
Rank Correlation Coefficient Correction by Removing Worst Cases
Abstract. Rank correlation can be used to compare two linearly ordered rankings. If the rankings include noise values, the rank correlation coefficient will yield lower values than...
Martin Krone, Frank Klawonn
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 7 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...
APWEB
2006
Springer
13 years 11 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang