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» Meaningful Change Detection in Structured Data
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ICDE
2004
IEEE
120views Database» more  ICDE 2004»
14 years 9 months ago
Algebraic Signatures for Scalable Distributed Data Structures
Signatures detect changes to the data objects. Numerous schemes a known, e.g., the popular hash based SHA-1 standard. We propose a nov scheme we call algebraic signatures. We use ...
Witold Litwin, Thomas J. E. Schwarz
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
13 years 6 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
IJBRA
2010
134views more  IJBRA 2010»
13 years 6 months ago
Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks
—Accumulating evidence suggests that biological systems exhibit modular organization. Accurate identification of modularity is vital for understanding this organization. A recen...
Roger L. Chang, Feng Luo, Stuart Johnson, Richard ...
VLDB
2004
ACM
144views Database» more  VLDB 2004»
14 years 7 months ago
Preserving mapping consistency under schema changes
Abstract. In dynamic environments like the Web, data sources may change not only their data but also their schemas, their semantics, and their query capabilities.When a mapping is ...
Yannis Velegrakis, Renée J. Miller, Lucian Popa
BMCBI
2006
203views more  BMCBI 2006»
13 years 7 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...