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Data Preprocessing Techniques for Research Performance Analysis

  • Fatin Shahirah ZulkepliEmail author
  • Roliana Ibrahim
  • Faisal Saeed
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 555)

Abstract

Business intelligence (BI) system mixes operational data with the analytical tools to represent descriptive and complicated data to groups of decision makers. BI aims to enhance the features and accuracy of data warehouse to the decision-making process and widely applied in industry. In order to achieve that, BI pulls and gathers information from multiple sources of information systems. Data from multiple sources tend to have flaws such as missing values, inconsistency data, and redundant data. Hence, this paper aims to show data preprocessing techniques used to produce clean and quality data for Universiti Teknologi Malaysia (UTM) research performance analysis. For this research study, required data were provided by UTM management level. In future, this study is expected to compare different data preprocessing techniques and recommend the best one for research performance analysis.

Keywords

Business intelligence Data preprocessing Research performance 

Notes

Acknowledgements

This work is supported by the Malaysia Ministry of Higher Education (MOHE) and the Research Management Centre of Universiti Teknologi Malaysia under the Fundamental Research Grant Scheme (Vote No. R.J130000.7828.4F741).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Fatin Shahirah Zulkepli
    • 1
    Email author
  • Roliana Ibrahim
    • 1
  • Faisal Saeed
    • 1
  1. 1.Information System Department, Faculty of ComputingUniversiti Teknologi MalaysiaJohor BahruMalaysia

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