Bankruptcy prediction of construction businesses: Towards a big data analytics approach

Hafiz Alaka, Lukumon O. Oyedele, Muhammad Bilal, Olugbenga O. Akinade, Hakeen A. Owolabi, Saheed O. Ajayi

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

9 Citations (Scopus)
83 Downloads (Pure)

Abstract

Bankruptcy prediction models (BPMs) are needed by financiers like banks in order to check the credit worthiness of companies. A very robust model needs a very large amount of data with periodic updates (i.e. appending new data). Such size of data cannot be processed directly by the tools used in building BPMs, however Big Data Analytics offers the opportunity to analyse such data. With data sources like DataStream, FAME, Company House, etc. that hold large financial data of existing and failed firms, it is possible to extract huge financial data into Hadoop database (e.g. HBase), whilst allowing periodic appending of data from the data sources, and carry out a Big Data analysis using a machine learning tool on Apache Mahout. Lifelong machine learning can also be employed in order to avoid repeated intensive training of the model using all the data in the Hadoop database. A framework is thus proposed for developing a Big Data Analytics based BPM.
Original languageEnglish
Title of host publication2015 IEEE First International Conference on Big Data Computing Service and Applications (BigDataService)
PublisherIEEE
Pages347-352
Number of pages6
ISBN (Electronic)978-1-4799-8128-1
DOIs
Publication statusPublished - 13 Aug 2015
Event2015 IEEE First International Conference on Big Data Computing Service and Applications (BigDataService) - Redwood City, United States
Duration: 30 Mar 20152 Apr 2015
Conference number: 1

Conference

Conference2015 IEEE First International Conference on Big Data Computing Service and Applications (BigDataService)
CountryUnited States
CityRedwood City
Period30/03/152/04/15

Bibliographical note

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Keywords

  • Big data
  • Bankruptcy
  • Data models
  • Predictive models
  • Companies
  • Robustness
  • Support vector machines
  • learning (artificial intelligence)
  • Bid Data
  • construction industry
  • data analysis
  • financial data processing
  • lifelong machine learning
  • bankruptcy prediction model
  • construction business
  • BPM
  • Big Data analytics approach
  • credit worthiness
  • financial data
  • Hadoop database
  • Apache Mahout
  • Construction business failure
  • Big data analytics
  • Bankruptcy prediction models
  • Machine learning
  • Financial models

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