Sciweavers

141 search results - page 26 / 29
» Data science as an academic discipline
Sort
View
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
15 years 10 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
CORR
2007
Springer
124views Education» more  CORR 2007»
14 years 9 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
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
14 years 11 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...
KDD
2006
ACM
381views Data Mining» more  KDD 2006»
15 years 10 months ago
GPLAG: detection of software plagiarism by program dependence graph analysis
Along with the blossom of open source projects comes the convenience for software plagiarism. A company, if less self-disciplined, may be tempted to plagiarize some open source pr...
Chao Liu 0001, Chen Chen, Jiawei Han, Philip S. Yu
PARA
2000
Springer
15 years 1 months ago
Experiments in Separating Computational Algorithm from Program Distribution and Communication
Our proposal has the following key features: 1) The separation of a distributed program into a pure algorithm (PurAl) and a distribution/communication declaration (DUAL). This yie...
Raphael B. Yehezkael, Yair Wiseman, H. G. Mendelba...