A learning-based demand classification service with using XGBoost in institutional area
by
 
Gürakın, Çağrı, author.

Title
: 
A learning-based demand classification service with using XGBoost in institutional area

Author
: 
Gürakın, Çağrı, author.

Personal Author
: 
Gürakın, Çağrı, author.

Physical Description
: 
xii, 49 leaves: illustrarions, charts;+ 1 computer laser optical disc.

Abstract
: 
This study, purposes to explain the development stages and methodology of data classification service that has a text-based adaptable programming interface. One of the successful classification algorithms, XGBoost, was preferred in the study. The dataset that is used in the study obtained by 'Digital Business Tracking Application' of a name anonymized company. The dataset is tested by using different classification algorithms and detailed performance evaluation was conducted. As a result, highest accuracy rate is obtained with 'Data Classification Service' which was developed by using XGBoost algorithm.

Subject Term
: 
Natural language processing (Computer science).
 
Machine learning.
 
Supervised learning (Machine learning).

Added Author
: 
Ayav, Tolga,

Added Corporate Author
: 
İzmir Institute of Technology. Computer Engineering.

Added Uniform Title
: 
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
 
İzmir Institute of Technology: Computer Engineering--Thesis (Master).

Electronic Access
: 
Access to Electronic Versiyon.


LibraryMaterial TypeItem BarcodeShelf NumberStatus
IYTE LibraryThesisT001926QA76.9.N38 G97 2019Tez Koleksiyonu
IYTE LibrarySupplementary CD-ROMROM3082QA76.9.N38 G97 2019 EK.1Tez Koleksiyonu