ADAGE: a framework for supporting user-driven ad-hoc data analysis processes

Data analysis is an important part of the scientific process carried out by domain experts in data-intensive science. Despite the availability of several software tools and systems, their use in combination with each other for conducting complex types of analyses is a very difficult task for non-IT...

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Veröffentlicht in:	Computing Jg. 94; H. 6; S. 489 - 519
Hauptverfasser:	Rabhi, Fethi A., Yao, Lawrence, Guabtni, Adnene
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 01.06.2012 Springer Nature B.V
Schlagworte:	Artificial Intelligence Availability Batch processing Computation Computer Appl. in Administrative Data Processing Computer Communication Networks Computer programs Computer Science Conduction Cooperation Data analysis Data processing Information Systems Applications (incl.Internet) Interoperability Libraries Markets News Problem solving Science Scientists Semantics Service oriented architecture Software Software Engineering Studies Subject specialists Tasks Time series SOA applications User-driven composition Event processing systems Time series analysis Financial market data Thomson Reuters Data-intensive science Business process modeling High-frequency data ADAGE 68M01
ISSN:	0010-485X, 1436-5057
Online-Zugang:	Volltext
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