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SCOPES
2004
Springer
14 years 3 months ago
An Automated C++ Code and Data Partitioning Framework for Data Management of Data-Intensive Applications
An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
Athanasios Milidonis, Grigoris Dimitroulakos, Mich...
PAKM
2004
13 years 11 months ago
Incremental Knowledge Acquisition for Building Sophisticated Information Extraction Systems with KAFTIE
Abstract. The aim of our work is to develop a flexible and powerful Knowledge Acquisition framework that allows users to rapidly develop Natural Language Processing systems, includ...
Son Bao Pham, Achim G. Hoffmann
DATASCIENCE
2007
88views more  DATASCIENCE 2007»
13 years 10 months ago
Detecting Family Resemblance: Automated Genre Classification
This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising s...
Yunhyong Kim, Seamus Ross
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
13 years 8 months ago
Rex: A toolset for reproducing software experiments
Being able to reproduce experiments is the cornerstone of the scientific method. Software experiments are hard to reproduce even if identical hardware is available because externa...
Somu Perianayagam, Gregory R. Andrews, John H. Har...
ER
2008
Springer
107views Database» more  ER 2008»
13 years 12 months ago
A Conceptual Modeling Framework for Expressing Observational Data Semantics
Observational data (i.e., data that records observations and measurements) plays a key role in many scientific disciplines. Observational data, however, are typically structured an...
Shawn Bowers, Joshua S. Madin, Mark P. Schildhauer