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Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results
- Source :
- IEEE BigData
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- We summarize IEEE Big Data Cup: Predicting Escalations in Customer Support – a data mining competition organized jointly by companies Information Builders and QED Software at the KnowledgePit platform, in the frame of the 2020 IEEE International Conference on Big Data. We discuss the motivation for organizing this event and highlight the factors that make it such a challenging topic. We describe the data provided to participants and formulate the competition task. We also provide an overview of competition results with a detailed analysis of a few selected solutions. Finally, we present a novel functionality of the KnowledgePit platform – an analytic module that allows organizers to investigate selected solutions using a convenient GUI and provides in-depth insights about their quality.
- Subjects :
- Event (computing)
Computer science
business.industry
media_common.quotation_subject
Frame (networking)
Big data
02 engineering and technology
010501 environmental sciences
01 natural sciences
Data science
Data modeling
Software
0202 electrical engineering, electronic engineering, information engineering
Task analysis
Data analysis
020201 artificial intelligence & image processing
Quality (business)
business
0105 earth and related environmental sciences
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Conference on Big Data (Big Data)
- Accession number :
- edsair.doi...........2cf50cd2b4821c576d2ee1cbecacddc2