Το RapidMiner ως εργαλείο εφαρμογών Big Data Analytics
RapidMiner as a Big Data Analytics application tool
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Keywords
Big Data Analytics ; Data mining ; Data integration ; Data selection ; Data transformation ; Pattern evaluation ; Data Analytics ; Internet of Things ; Cloud computing ; Neural networks ; Rapid Miner ; Γενετικοί αλγόριθμοι ; Φωτοβολταϊκά Πάρκα ; Forecasting ; Apache Hadoop ; Apache SparkAbstract
The rapid growth of technology and the groundbreaking proposals of Informatics have
brought about radical changes in everyday life and especially in the various areas of our
professional activity. Big Data Analytics, as well as Data Mining, promulgate a new era for
humanity where the statistical processing of information to produce qualitative conclusions
and predictions will be an element inherent in business activity, industry, shipping,
medicine and more generally in any aspect of our culture.
The subject of this Diploma Thesis is to use an open source Framework for editing Big
Data. Our goal is to create a highly accurate forecasting model as well as an installation of
Alarms to alert the interested party if some of the variables of the System under
consideration are outside the permissible limits. To achieve the above, the RapidMiner
software environment was selected, in which a Data Set in Excel format was introduced
from the measurements collected over a period of one year, which concern the operation
of a Photovoltaic Park.
The Diploma Thesis is divided as follows: The first chapter attempts a theoretical
introduction to Modern Informatics (Data Analytics, Big Data, Data Mining, IoT, Cloud), the
second provides some prerequisite knowledge that is necessary for the implementation of
the Experimental Process which is done in the third and fourth Chapter (where we are
supposed to predict Output Power on the basis of incident Radiation, to set some
Temperatures, Humidity and Wind Alarms, and to predict the film rating of potential users
and the most likely combinations of supermarket products) and, finally, in the fifth Chapter
some General Conclusions that have emerged through the Experimental Procedure have
been registered.
Postgraduate Studies Programme
Ψηφιακές Επικοινωνίες και ΔίκτυαDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
161Language
GreekCollections
Except where otherwise noted, this item's license is described as
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές