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A Novel Low-Cost Sensor Prototype for Monitoring Temperature during Wine Fermentation in Tanks
(MDPI, 2013)
This paper presents a multipurpose and low cost sensor for temperature control over
the wine fermentation process, in order to steadily communicate data through wireless modules
in real time to a viticulturist’s mobile ...
State of the Art, Trends and Future of Bluetooth Low Energy, Near Field Communication and Visible Light Communication in the Development of Smart Cities
(MDPI, 2016)
The current social impact of new technologies has produced major changes in all
areas of society, creating the concept of a smart city supported by an electronic infrastructure,
telecommunications and information technology. ...
A Ubiquitous NFC Solution for the Development of Tailored Marketing Strategies Based on Discount Vouchers and Loyalty Cards
(MDPI, 2013)
Because of the global economic turmoil, nowadays a lot of companies are
adopting a “deal of the day” business model, some of them with great success. Generally,
they try to attract and retain customers through discount ...
A Review of Classification Problems and Algorithms in Renewable Energy Applications
(MDPI, 2016)
Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy (RE) has
gained significant attention in ...
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
(2017-01-20)
In this paper we present a novel algorithm, named GBAP, that jointly uses
automatic programming with ant colony optimization for mining classification rules.
GBAP is based on a context-free grammar that properly guides ...
Multi-Objective Genetic Programming for Feature Extraction and Data Visualization
(2017)
Feature extraction transforms high dimensional
data into a new subspace of lower dimensionalitywhile keeping
the classification accuracy. Traditional algorithms do not
consider the multi-objective nature of this task. ...
Classification Rule Mining with Iterated Greedy
(2017-03-30)
In the context of data mining, classi cation rule discovering
is the task of designing accurate rule based systems that model the useful
knowledge that di erentiate some data classes from others, and is present
in large ...
JCLEC Meets WEKA!
(2014-02-27)
WEKA has recently become a very referenced DM tool. In
spite of all the functionality it provides, it does not include any framework
for the development of evolutionary algorithms. An evolutionary
computation framework ...
A Classification Module for Genetic Programming Algorithms in JCLEC
(MIT Press, 2014)
JCLEC-Classi cation is a usable and extensible open source library for genetic program-
ming classi cation algorithms. It houses implementations of rule-based methods for clas-
si cation based on genetic programming, ...
ur-CAIM: Improved CAIM Discretization for Unbalanced and Balanced Data
(2015-10-15)
Supervised discretization is one of basic data preprocessing
techniques used in data mining. CAIM (Class-
Attribute InterdependenceMaximization) is a discretization
algorithm of data for which the classes are known. ...