Abstract
Mining companies’ relationship network from the internet is one of the objectives of business intelligence (BI). In previous works of companies’ relationship mining, researchers usually applied linguistic analysis tools and methods like natural language processing (NLP) to extract such relationship from online financial articles. In this paper, we propose a new bottom-up algorithm for the mining of companies’ competitive relationship network. The algorithm generate a products’ competitive relationship network.
We use Tablets and Video Cards data from e-stores to examine the effectiveness of our method, the results are relatively satisfactory. They could present dynamic and asymmetry competitive relationships among companies and could provide useful information for manages to make decisions.
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Li, J., Wang, T., Hu, S., Zhao, Q., Min, H. (2014). Products Competitive Relationships Mining. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_22
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DOI: https://doi.org/10.1007/978-3-319-14139-8_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14138-1
Online ISBN: 978-3-319-14139-8
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