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Evaluating Knowledge Anchors in Data Graphs Against Basic Level Objects Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Design of a Small and Medium Enterprise Growth Prediction Model Based on Web Mining

Authors : Yiea-Funk Te, Irena Pletikosa Cvijikj

Published in: Web Engineering

Publisher: Springer International Publishing

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Abstract

Small and medium enterprises (SMEs) play an important role in the economy of many countries. Still, due to the highly turbulent business environment, SMEs experience more severe challenges in maintaining and expanding their business. To support SMEs at improving their competitiveness, researchers recently turned their focus on applying web mining (WM) to build growth prediction models. WM enables automatic and large-scale collection and analysis of potentially valuable data from various online platforms, thus bearing a great potential for extracting SME growth factors, and enhancing existing SME growth prediction models. This study aims at developing an automated system to collect business-relevant data from the Web and predict future growth trends of SMEs by means of WM and machine learning (ML) techniques.

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Metadata
Title
Design of a Small and Medium Enterprise Growth Prediction Model Based on Web Mining
Authors
Yiea-Funk Te
Irena Pletikosa Cvijikj
Copyright Year
2017
Book
Web Engineering

Print ISBN: 978-3-319-60130-4

Electronic ISBN: 978-3-319-60131-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-60131-1_48

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