While the interpretability of machine learning models is often equated with their mere
syntactic comprehensibility, we think that interpretability goes beyond that, and that human …

When plugged into instant interactive data analytics processes, pattern mining algorithms
are required to produce small collections of high quality patterns in short amounts of time. In …

EasyMiner (easyminer. eu) is a web-based association rule mining software based on the
LISp-Miner system. This paper presents a proof-of-concept workflow for learning business …

EasyMiner is a web-based visual interface for association rule learning. This paper presents
a preview of the next release, which uses the R environment as the data processing …

GAIN (inbeat. eu) is a web application and service for capturing and preprocessing user
interactions with semantically described content. GAIN outputs a set of instances in tabular …

EasyMiner (easyminer. eu) is an academic data mining project providing data mining of
association rules, building of classification models based on association rules and outlier …

This paper presents the implementation of a classification system based on learning of
association rules in conjunction with Drools rule engine. The rules are interactively …

Known pattern discovery algorithms for finding tilings (covers of 0/1-databases consisting of
1-rectangles) cannot be integrated in instant and interactive KD tools, because they do not …

Data mining of association rules is one way of finding interesting relationships in data-
especially in the case of using GUHA method. These rules have not been used only to …

[ES] Hay muchos trabajos relacionados con la automatización de procesos en agricultura.
Con la revolución del Internet de las Cosas (del Inglés, Internet of things o IoT) están …