Big Data Aplication for Selecting Theses Topics | Zendy

Jesus Silva | Zendy; Lissette Hernández | Zendy; Tito Crissien Borrero | Zendy; Omar Bonerge Píneda Lezama | Zendy; Jenny Romero | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Big Data Aplication for Selecting Theses Topics

Author(s) -

Jesus Silva,

Lissette Hernández,

Tito Crissien Borrero,

Omar Bonerge Píneda Lezama,

Jenny Romero

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.11.051

Subject(s) - computer science , process (computing) , data science , neglect , artificial intelligence , mathematics education , psychology , psychiatry , operating system

The chairs of thesis research in Computer Sciences at the University of Mumbai, in India, have different tools that provide academic support to those who begin the course. Students present difficulty in selecting the topic to study and, in some cases, this is a reason to neglect or delay in the career. Having a registry of thesis of the graduates proved to be useful for obtaining patterns on the relationship between the research area addressed in this thesis and the characteristics that define the researcher. For this study, the knowledge discovery process in Database was used. Finally, the results of the use of algorithms J4.8 in WEKA, ID3 tags in RapidMiner and CART IN Knime and the various models generated, with the data collected were presented.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research