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Regression and decision tree approaches in predicting the effort in resolving incidents
S Christa, V Suma, U Mohan - International Journal of …, 2022 - inderscienceonline.com
IT service management plays a key role in software maintenance. Service management
offers the customers a platform to raise the incidents that needs to be resolved. This papers …
offers the customers a platform to raise the incidents that needs to be resolved. This papers …
Multilevel Petri net‐based ticket assignment and IT management for improved IT organization support
The problem of incident management has been well studied and the ticketing has been
handled by various approaches. Still, the methods suffer to produce higher growth in IT …
handled by various approaches. Still, the methods suffer to produce higher growth in IT …
Predictive Analytics in IT Service Management (ITSM)
CIL Sharon, V Suma - Data Mining and Machine Learning …, 2022 - Wiley Online Library
Predictive analytics and applied machine learning techniques have taken a significant role
in the state of the art in technology that make use of data mining techniques for knowledge …
in the state of the art in technology that make use of data mining techniques for knowledge …
Predictive analytics in IT Service Management (ITSM)
V Suma - Data Mining and Machine Learning Applications, 2022 - books.google.com
Predictive analytics and applied machine learning techniques have taken a significant role
in the state of the art in technology that make use of data mining techniques for knowledge …
in the state of the art in technology that make use of data mining techniques for knowledge …
A systematic analysis of defects, incidents, tickets and service effort estimation
S Christa, V Suma - International Journal of Intelligent …, 2021 - inderscienceonline.com
The delivery of quality software remains the primary focus of any software industry. Quality
can be achieved through reduction of defects during the pre-deployment phase. However …
can be achieved through reduction of defects during the pre-deployment phase. However …