Special Issue "Challenges in Business Intelligence"
Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 19794
Interests: financial markets; trading strategies; valuation; sustainability
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Business intelligence (BI) includes a bundle of mathematical models mainly related to statistics and operations research that exploit large amounts of data to extract useful knowledge for complex decision-making processes in firms and organizations. Such data play a key role in the development of BI platforms, and likewise, both researchers and practitioners have to face situations where data come from different and heterogeneous sources: the internet, emails, unstructured texts, web images, financial and administrative data, stock markets, cashier operations from supermarkets, etc.
This Special Issue will contribute to bringing original research in the area of business intelligence, thus enabling the publication of research related to new methodological approaches to deal with new challenges in the topic, or making publicly available large databases that allow the application and comparison of competitive BI techniques.
Prof. Dr. Francisco Guijarro
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- data analytics
- big data
- data cleaning
- management information system
- data warehouse
- unstructured data
- data mining