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» Practical Preference Relations for Large Data Sets
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CBMS
2005
IEEE
14 years 29 days ago
A Practical Tool for Visualizing and Data Mining Medical Time Series
The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis ...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
SP
2009
IEEE
129views Security Privacy» more  SP 2009»
14 years 2 months ago
CLAMP: Practical Prevention of Large-Scale Data Leaks
Providing online access to sensitive data makes web servers lucrative targets for attackers. A compromise of any of the web server’s scripts, applications, or operating system c...
Bryan Parno, Jonathan M. McCune, Dan Wendlandt, Da...
DLOG
2011
12 years 11 months ago
Reasoning in Resource-Constrained Environments: a Matchmaking Engine over Relational Knowledge Bases
We present a framework for logic-based matchmaking on ALN ABoxes stored in a relational database. The proposed approach allows both non-standard reasoning and subsumption check be ...
Eufemia Tinelli, Francesco M. Donini, Michele Ruta...
TPDS
1998
122views more  TPDS 1998»
13 years 7 months ago
Managing Statistical Behavior of Large Data Sets in Shared-Nothing Architectures
—Increasingly larger data sets are being stored in networked architectures. Many of the available data structures are not easily amenable to parallel realizations. Hashing scheme...
Isidore Rigoutsos, Alex Delis
VLDB
1994
ACM
149views Database» more  VLDB 1994»
13 years 11 months ago
Qualified Answers That Reflect User Needs and Preferences
This paper introduces a formalism to describe the needs and preferences of database users. Because of the precise formulation of these concepts, we have found an automatic and ver...
Terry Gaasterland, Jorge Lobo