Towards a Documents Processing Tool using Traceability Information Retrieval and Content Recognition Through Machine Learning in a Big Data Context

Rahmaoui, Othmane; Souali, Kamal; Ouzzif, Mohammed

doi:10.25046/aj0506151

Cited by 1 publication

(1 citation statement)

References 41 publications

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“…The promotion of the suggested method took place with the application of an open-source tool software KNIME. The frame of improvement of the effectiveness at the editing of documents is mentioned in the paper [25]. The suggested approach uses techniques of retrieving information and identification of a passage through the techniques of machine learning.…”

Section: Introductionmentioning

confidence: 99%

Business Intelligence and Machine Learning Methods for Predictive Maintenance in Greek railways

Kalathas¹,

Papoutsidakis²,

Drosos³

2021

OJAppS

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The extraction of useful information supports the process of making business decisions. In every mechanical process, application or service, the periodic maintenance of the necessary equipment is an expensive process and therefore the technicians and the supervisors have the responsibility of the proper decision making. At the railway companies, a huge amount of data is produced which, with the appropriate processing and smart business systems, can attribute quality information and knowledge. In this paper, the benefits of the business intelligence are presented with the techniques of machine learning and data mining involved of the Greek railway companies, which use obsolete procedures of maintenance. In addition, a study of the present situation is held as well as a record of the needs and requirements of the railway companies. At the same time, tools (open source of low cost) of machine learning and data mining are examined that can assist on the creation of a new strategic support of decisions for the development of the predictive maintenance of the Greek railways making a new complete system of business intelligence. Finally, the results and the motives of the railway companies are presented in order to create applications which can constitute the basic tool for the improvement of making decisions by the business's administration.

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Section: Introductionmentioning

confidence: 99%