FCLib: A Library for Building Data Analysis and Data Discovery Tools

Autor:	W. Philip Kegelmeyer, Wendy S. Koegler
Rok vydání:	2005
Předmět:	Scale (ratio) Knowledge extraction Data model Interface (Java) Computer science Data discovery Data science Data modeling Variety (cybernetics) Temporal database
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540287957 IDA
DOI:	10.1007/11552253_18
Popis:	In this paper we describe a data analysis toolkit constructed to meet the needs of data discovery in large scale spatio-temporal data. The toolkit is a C library of building blocks that can be assembled into data analyses. Our goals were to build a toolkit which is easy to use, is applicable to a wide variety of science domains, supports feature-based analysis, and minimizes low-level processing. The discussion centers on the design of a data model and interface that best supports these goals and we present three usage examples.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::018d6f8f0a2825e345473ef58ce2a2e8 https://doi.org/10.1007/11552253_18 Zobrazit plný text záznamu