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» Approximate data mining in very large relational data
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ALGORITHMICA
2000
161views more  ALGORITHMICA 2000»
15 years 1 months ago
Binary Searching with Nonuniform Costs and Its Application to Text Retrieval
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
CORR
2007
Springer
124views Education» more  CORR 2007»
15 years 1 months ago
An exploratory study of Google Scholar
Purpose – This paper2 discusses the new scientific search service Google Scholar (GS). This search engine, intended for searching exclusively scholarly documents, will be descri...
Philipp Mayr, Anne-Kathrin Walter
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
16 years 1 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
BMCBI
2008
160views more  BMCBI 2008»
15 years 1 months ago
Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Alexandre Kuhn, Ruth Luthi-Carter, Mauro Delorenzi
IWPSE
2007
IEEE
15 years 7 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...