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» A Framework for Analysis of Data Freshness
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CIBCB
2009
IEEE
13 years 8 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
CC
2007
Springer
208views System Software» more  CC 2007»
14 years 1 months ago
A New Elimination-Based Data Flow Analysis Framework Using Annotated Decomposition Trees
Abstract. We introduce a new framework for elimination-based data flow analysis. We present a simple algorithm and a delayed algorithm that exhibit a worstcase complexity of O(n2 ...
Bernhard Scholz, Johann Blieberger
CIKM
2004
Springer
14 years 26 days ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
RTS
2002
107views more  RTS 2002»
13 years 7 months ago
Data-Flow Frameworks for Worst-Case Execution Time Analysis
The purpose of this paper is to introduce frameworks based on data-flow equations which provide for estimating the worst-case execution time (WCET) of (real-time) programs. These f...
Johann Blieberger
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...