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Concurrent software architectures for exploratory data analysis
Staric, Anze (Avtor), Demsar, Janez (Avtor), Zupan, Blaz (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://eprints.fri.uni-lj.si/3191/ Povezava se odpre v novem oknu

Izvleček
Decades ago, increased volume of data made manual analysis obsolete and prompted the use of computational tools with interactive user interfaces and rich palette of data visualizations. Yet their classic, desktop-based architectures can no longer cope with the ever-growing size and complexity of data. Next-generation systems for explorative data analysis will be developed on client–server architectures, which already run concurrent software for data analytics but are not tailored to for an engaged, interactive analysis of data and models. In explorative data analysis, the key is the responsiveness of the system and prompt construction of interactive visualizations that can guide the users to uncover interesting data patterns. In this study, we review the current software architectures for distributed data analysis and propose a list of features to be included in the next generation frameworks for exploratory data analysis. The new generation of tools for explorative data analysis will need to address integrated data storage and processing, fast prototyping of data analysis pipelines supported by machine-proposed analysis workflows, preemptive analysis of data, interactivity, and user interfaces for intelligent data visualizations. The systems will rely on a mixture of concurrent software architectures to meet the challenge of seamless integration of explorative data interfaces at client site with management of concurrent data mining procedures on the servers.

Jezik:Neznan jezik
Ključne besede:data mining, concurrent software architectures, workflows
Vrsta gradiva:Delo ni kategorizirano (r6)
Organizacija:FRI - Fakulteta za računalništvo in informatiko
Leto izida:2015
Št. strani:165-180
Številčenje:5
DOI:10.1002/widm.1155 Povezava se odpre v novem oknu
Število ogledov:898
Število prenosov:261
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
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