Hierarchical incident ticket classification with minimal supervision
A Maksai, J Bogojeska… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
In this paper, we introduce a novel approach for incident ticket classification that aims at
minimizing the manual labelling effort while achieving good-quality predictions. To …
minimizing the manual labelling effort while achieving good-quality predictions. To …
Prediction of workloads in incident management based on incident ticket updating history
S Kikuchi - 2015 IEEE/ACM 8th International Conference on …, 2015 - ieeexplore.ieee.org
Incident management is one of the most important and burdensome tasks in system
management. In order to achieve effective incident management, prediction of the workload …
management. In order to achieve effective incident management, prediction of the workload …
Probabilistic text analytics framework for information technology service desk tickets
Ticket annotation and search has become an essential research subject for the successful
delivery of IT operational analytics. Millions of tickets are created yearly to address business …
delivery of IT operational analytics. Millions of tickets are created yearly to address business …
Text categorization for deriving the application quality in enterprises using ticketing systems
Today's enterprise services and business applications are often centralized in a small
number of data centers. Employees located at branches and side offices access the …
number of data centers. Employees located at branches and side offices access the …
Fast induction of multiple decision trees in text categorization from large scale, imbalanced, and multi-label data
P Vateekul, M Kubat - 2009 IEEE International Conference on …, 2009 - ieeexplore.ieee.org
The paper focuses on automated categorization of text documents, each labeled with one or
more classes and described by tens of thousands of features. The computational costs of …
more classes and described by tens of thousands of features. The computational costs of …
Applying the multiple cause mixture model to text categorization
This paper introduces the use of the Multiple Cause Mixture Model to automatic text category
assignment. Although much research has been done on text categorization, this algorithm is …
assignment. Although much research has been done on text categorization, this algorithm is …
Online biomedical publication classification using multi-instance multi-label algorithms with feature reduction
D Ren, L Ma, Y Zhang, R Sunderraman… - 2015 IEEE 14th …, 2015 - ieeexplore.ieee.org
Text annotation, the assignment of metadata to documents, requires significant time and
effort when performed by humans. A variety of text mining methods have been used to …
effort when performed by humans. A variety of text mining methods have been used to …
An extension of topic models for text classification: A term weighting approach
Text classification has become a critical step in big data analytics. For supervised machine
learning approaches to text classification, availability of sufficient training data with …
learning approaches to text classification, availability of sufficient training data with …
It ticket classification: The simpler, the better
Recently, automatic classification of IT tickets has gained notable attention due to the
increasing complexity of IT services deployed in enterprises. There are multiple discussions …
increasing complexity of IT services deployed in enterprises. There are multiple discussions …
Towards a universal text classifier: Transfer learning using encyclopedic knowledge
P Wang, C Domeniconi - 2009 IEEE international conference …, 2009 - ieeexplore.ieee.org
Document classification is a key task for many text mining applications. However, traditional
text classification requires labeled data to construct reliable and accurate classifiers …
text classification requires labeled data to construct reliable and accurate classifiers …