EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets

Vojir Stanislav; Zeman Vaclav; Kuchar Jaroslav; Kliegr Tomas

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EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets

机译：EasyMiner.eu：基于规则和频繁项集的可解释机器学习的Web框架

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摘要

EasyMiner (http://www.easyminer.eu) is a web-based system for interpretable machine learning based on frequent itemsets. It currently offers association rule learning (apriori, FP-Growth) and classification (CBA). EasyMiner offers a visual interface designed for interactivity, allowing the user to define a constraining pattern for the mining task. The CBA algorithm can also be used for pruning of the rule set, thus addressing the common problem of "too many rules" on the output, and the implementation supports automatic tuning of confidence and support thresholds. The development version additionally supports anomaly detection (FPI and its variations) and linked data mining (AMIE+). EasyMiner is dockerized, some of its components are available as open source R packages. (C) 2018 Elsevier B.V. All rights reserved.

机译：EasyMiner（http://www.easyminer.eu）是一个基于Web的系统，用于基于频繁项集的可解释机器学习。目前，它提供关联规则学习（先验，FP增长）和分类（CBA）。 EasyMiner提供了用于交互性的可视界面，允许用户为采矿任务定义约束模式。 CBA算法也可以用于规则集的修剪，从而解决输出上“太多规则”的常见问题，并且该实现支持置信度和支持阈值的自动调整。该开发版本还支持异常检测（FPI及其变体）和链接数据挖掘（AMIE +）。 EasyMiner已泊坞窗化，其某些组件可作为开源R软件包使用。（C）2018 Elsevier B.V.保留所有权利。

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来源
《Knowledge-Based Systems》 |2018年第15期|111-115|共5页
作者
Vojir Stanislav; Zeman Vaclav; Kuchar Jaroslav; Kliegr Tomas;
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作者单位

Univ Econ, Fac Informat & Stat, Dept Informat & Knowledge Engn, Nam W Churchilla 4, Prague, Czech Republic;

Univ Econ, Fac Informat & Stat, Dept Informat & Knowledge Engn, Nam W Churchilla 4, Prague, Czech Republic;

Univ Econ, Fac Informat & Stat, Dept Informat & Knowledge Engn, Nam W Churchilla 4, Prague, Czech Republic;

Univ Econ, Fac Informat & Stat, Dept Informat & Knowledge Engn, Nam W Churchilla 4, Prague, Czech Republic;

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原文格式 PDF
正文语种 eng
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关键词
Association rules; Classification; Web service; Web application; Prediction API; Machine learning; Data mining;

机译：关联规则;分类;Web服务;Web应用程序;预测API;机器学习;数据挖掘;

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EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets

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