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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 3 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
BIS
2009
168views Business» more  BIS 2009»
15 years 2 months ago
Defining Adaptation Constraints for Business Process Variants
Abstract. In current dynamic business environment, it has been argued that certain characteristics of ad-hocism in business processes are desirable. Such business processes typical...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori,...
BIS
2009
154views Business» more  BIS 2009»
15 years 2 months ago
Using Process Mining to Generate Accurate and Interactive Business Process Maps
Abstract. The quality of today's digital maps is very high. This allows for new functionality as illustrated by modern car navigation systems (e.g., TomTom, Garmin, etc.), Goo...
Wil M. P. van der Aalst
ESORICS
2010
Springer
15 years 2 months ago
Traffic Analysis against Low-Latency Anonymity Networks Using Available Bandwidth Estimation
Abstract. We introduce a novel remotely-mounted attack that can expose the network identity of an anonymous client, hidden service, and anonymizing proxies. To achieve this, we emp...
Sambuddho Chakravarty, Angelos Stavrou, Angelos D....
BMCBI
2008
122views more  BMCBI 2008»
15 years 1 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
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