Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation

•A recent review on the application of business intelligence to the banking domain.•Coverage of the last twelve years of scientific literature on those subjects.•Usage of text mining and the latent Dirichlet allocation to analyze articles.•Provide new insights and future research trends which may be...

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Veröffentlicht in:	Expert systems with applications Jg. 42; H. 3; S. 1314 - 1324
Hauptverfasser:	Moro, Sérgio, Cortez, Paulo, Rita, Paulo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 15.02.2015 Elsevier
Schlagworte:	Allocations Applied sciences Artificial intelligence Banking Business intelligence Computer science; control theory; systems Data mining Data processing. List processing. Character string processing Decision support systems Dirichlet problem Exact sciences and technology Information management Information systems. Data bases Memory organisation. Data processing Operational research and scientific management Operational research. Management science Portfolio theory Searching Software Speech and sound recognition and synthesis. Linguistics Text mining Texts Trends Text mining Decision support systems Business intelligence Data mining Banking Dictionaries Targeting Volatility Fraud Modeling Technology watch Business process Cheating Credit Linguistics Competitive intelligence Natural language Document analysis Bankruptcy Data analysis Decision support system Grouping Text Risk analysis Document retrieval Bank(institution) Supplier customer relationship
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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