Academic Journal

A Software Architecture for Reconstructability Analysis

التفاصيل البيبلوغرافية
العنوان: A Software Architecture for Reconstructability Analysis
المؤلفون: Kenneth Willett, Martin Zwick
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.pdx.edu/sites/www.pdx.edu.sysc/files/sysc_kenpitf.pdf.
سنة النشر: 2004
المجموعة: CiteSeerX
مصطلحات موضوعية: reconstructability analysis, log-linear modeling, information theory, data-mining, Occam, Python
الوصف: Software packages for Reconstructability Analysis (RA), as well as for related Log Linear modeling, generally provide a fixed set of functions. Such packages are suitable for end-users applying RA in various domains, but do not provide a platform for research into the RA methods themselves. A new software system, Occam3, is being developed which is intended to address three goals which often conflict with one another: to provide (1) a general and flexible infrastructure for experimentation with RA methods and algorithms; (2) an easily-configured system allowing methods to be combined in novel ways, without requiring deep software expertise; and (3) a system which can be easily utilized by domain researchers who are not computer specialists. Meeting these goals has led to an architecture which strictly separates functions into three layers: the Core, which provides representation of datasets, relations, and models; the Management Layer, which provides extensible objects for development of new algorithms; and the Script Layer, which allows the other facilities to be combined in novel ways to address a particular domain analysis problem. I.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4534; http://www.pdx.edu/sites/www.pdx.edu.sysc/files/sysc_kenpitf.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4534
http://www.pdx.edu/sites/www.pdx.edu.sysc/files/sysc_kenpitf.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.B73F89EA
قاعدة البيانات: BASE