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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
SIGMOD
1995
ACM
80views Database» more  SIGMOD 1995»
15 years 11 months ago
Join Queries with External Text Sources: Execution and Optimization Techniques
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Surajit Chaudhuri, Umeshwar Dayal, Tak W. Yan
AINA
2010
IEEE
15 years 11 months ago
Applying TCP-Friendly Congestion Control to Concurrent Multipath Transfer
Abstract--The steadily growing importance of Internetbased applications and their resilience requirements lead to a rising number of multi-homed sites. The idea of Concurrent Multi...
Thomas Dreibholz, Martin Becke, Jobin Pulinthanath...
VISSYM
2007
15 years 10 months ago
Model-free Surface Visualization of Vascular Trees
Expressive and efficient visualizations of complex vascular structures are essential for medical applications, such as diagnosis and therapy planning. A variety of techniques has ...
Christian Schumann, Steffen Oeltze, Ragnar Bade, B...
USENIX
2007
15 years 10 months ago
A Comparison of Structured and Unstructured P2P Approaches to Heterogeneous Random Peer Selection
Random peer selection is used by numerous P2P applications; examples include application-level multicast, unstructured file sharing, and network location mapping. In most of thes...
Vivek Vishnumurthy, Paul Francis