Advancing FCA Workflow in FCART System for Knowledge Discovery in Quantitative Data

被引：3
|
作者：
Neznanov, Alexey [1 ]
Ilvovsky, Dmitry [1 ]
Parinov, Andrey [1 ]
机构：
[1] Natl Res Univ, Higher Sch Econ, Moscow 101000, Russia
来源：
2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014 | 2014年 / 31卷
关键词：
Data Analysis; Formal Concept Analysis; Software; Multi-valued Formal Context;
D O I：
10.1016/j.procs.2014.05.261
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We describe new features in FCART software system, an integrated environment for knowledge and data engineers with a set of research tools based on Formal Concept Analysis. The system is intended for knowledge discovery from various data sources, including structured quantitative data and text collections. Final version of data transformation from external data source into concept lattice is considered. We introduce new version of local data storage, query language for conceptual scaling of data snapshots as multi-valued contexts, and new tools for working with formal concepts. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码：201 / 210
页数：10
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