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SAC
2008
ACM
13 years 5 months ago
Optimizing code through iterative specialization
Code specialization is a way to obtain significant improvement in the performance of an application. It works by exposing values of different parameters in source code. The availa...
Minhaj Ahmad Khan, Henri-Pierre Charles, Denis Bar...
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 7 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
ACMSE
2009
ACM
14 years 15 days ago
Applying randomized projection to aid prediction algorithms in detecting high-dimensional rogue applications
This paper describes a research effort to improve the use of the cosine similarity information retrieval technique to detect unknown, known or variances of known rogue software by...
Travis Atkison
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
13 years 10 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
CIKM
2006
Springer
13 years 9 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...