Data Mining Applications. A Comparative Study for Predicting Student's Performance

Idioma: inglés

Editorial: GRIN Verlag, 2018

366856146X / 9783668561465

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - General, , course: DOCTOR OF PHILOSOPHY, language: English, abstract: The primary objective of this research is to develop a process to accurately predict useful data from the huge amount of available data using data mining techniques. Data Mining is the process of finding treads, patterns and correlations between fields in large RDBMS. It permits users to analyse and study data from multiple dimensions and approaches, classify it, and summarize identified data relationships. Our focus in this thesis is to use education data mining procedures to understand higher education system data better which can help in improving efficiency and effectiveness of education. In order to achieve a decisional database, many steps need to be taken which are explained in this thesis. This work investigates the efficiency, scalability, maintenance and interoperability of data mining techniques. In this research work, data-results obtained through different data mining techniques have been compiled and analysed using variety of business intelligence tools to predict useful data. An effort has also been made to identify ways to implement this useful data efficiently in daily decision process in the field of higher education in India.Mining in educational environment is called Educational Data Mining. Han and Kamber describes data mining software that allow the users to analyze data from different dimensions, categorize it and Summarize the relationships which are identified during the mining process. New methods can be used to discover knowledge from educational databases. Every data has a lot of hidden information. The processing method of data decides what type of information data produce. In India education sector has a lot of data that can produce valuable information. This information can be used to increase the quality of education. But educational institution does not use any knowledge discovery process approach on these data. Information and communication technology puts its leg into the education sector to capture and compile low cost information. Now a day a new research community, educational data mining (EDM), is growing which is intersection of data mining and pedagogy. First chapter of the thesis elaborates the knowledge data discovery process, data mining concept, history and application of data mining in various industries.…

N° de ref. del artículo 9783668561465

Título
Data Mining Applications. A Comparative Study for Predicting Student's Performance
Autor
Saurabh Pal
Editorial
GRIN Verlag
Año de publicación
2018
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
366856146X
ISBN 13
9783668561465
Peso del artículo
253 gramos
Dimensiones
210x148x12 mm

AHA-BUCH GmbH

Einbeck, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 14 de agosto de 2006

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 7 a 10 días hábilesDe 5 a 7 días hábiles
Primer artículoEUR 35,00EUR 45,00
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Einbeck, Alemania 37574