Automatic Discovery of Service Name Replacements Using Ledger Data

Suppawong Tuarob, Conrad S. Tucker, Ray Strong, Jeannette Blomberg, Anca Chandra, Pawan Chowdhary, Sechan Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Recent studies have illustrated historical financial data could be used to predict future revenues and profits. Prediction models would be accurate when long-run data that traces back for multiple years is available. However, changes in service structures often result in alteration of the nomenclatures of the services, making the streams of financial transactions associated with affected services discontinue. Manually inquiring the history of changes can be tedious and unsuccessful especially in large companies. In this paper, we propose a machine learning based algorithm for automatically discovering service name replacements. The proposed methodology draws heterogeneous features from financial data available in most ledger databases, and hence is generalizable. Our proposed methodology is shown to be effective on ground-truth synthesized data generated from real-world IBM service delivery ledger database.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Services Computing, SCC 2015
EditorsWu Chou, Paul P. Maglio, Incheon Paik
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages624-631
Number of pages8
ISBN (Electronic)9781467372817
DOIs
StatePublished - Aug 17 2015
EventIEEE International Conference on Services Computing, SCC 2015 - New York, United States
Duration: Jun 27 2015Jul 2 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Services Computing, SCC 2015

Other

OtherIEEE International Conference on Services Computing, SCC 2015
CountryUnited States
CityNew York
Period6/27/157/2/15

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Tuarob, S., Tucker, C. S., Strong, R., Blomberg, J., Chandra, A., Chowdhary, P., & Oh, S. (2015). Automatic Discovery of Service Name Replacements Using Ledger Data. In W. Chou, P. P. Maglio, & I. Paik (Eds.), Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015 (pp. 624-631). [7207408] (Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCC.2015.90