Mini Track on Data Science in a Digital Society

The 12th International Conference on Business Excellence
Innovation and Sustainability in a Turbulent Economic Environment

“The best way to predict the future is to create it.” – Abraham Lincoln

22-23 March 2018, Bucharest, Romania

Mini Track Chair: Wolfgang Härdle, C.A.S.E. – Centre for Applied Statistics and Economics School of Business and Economics Humboldt – Universitätzu Berlin, Germany

 

Python and R programming languages are becoming the lingua franca of data science.  They are the common statistical software platform used by statisticians, economists, engineers and scientists inside corporations and in academia. This BCS course presents tools and concepts of univariate and multivariate data analysis with a strong focus on applications and implementations. All codes of this course are available at www.quantlet.de.

We start with the description of the syntax and elementary I/O procedures.  Use of R as an advanced calculator, data types, loops, if then conditions, own function construction, classes are the topics covered.  The second section deals with numerical techniques.  A short excursion into matrix algebra is provided. Covariances, correlations and the linear models are introduced.  Different methods of numerical integration, differentiation and root finding, helps the reader to get inside the BCS core. Next, we highlight set theory, combinatoric rules plus some main discrete distributions.  Characteristic and generating functions, cumulative distribution and density functions of the Uniform, Normal, t, χ2, F, Exponential, Lévy, Cauchy distributions will be explained in detail.

Next two units are devoted to the univariate statistical analysis and basic smoothing techniques: Histogram, graphical representation of data, confidence intervals, different simple tests (Wilcoxon, Kruskal-Wallis, sign test).  Linear regression with the introduction to time series are the topics of unit 5 and 6.  Unit 7 deals with multivariate distributions: definition, characteristics and application of general multivariate distributions, multinormal distributions as well as copulae and their applications.

 

Wolfgang Karl HÄRDLE did 1982 his Dr.rer. nat. in Mathematics at Universität Heidelberg and 1988 his Habilitation at Universität Bonn. He is Ladislaus von Bortkieviecz chair professor of statistics, Humboldt-Universitätzu Berlin. He is director of the Sino German International Research Training Group IRTG1792 „High dimensional non stationary time series analysis“ (WISE, Xiamen University).

His research focuses on dimension reduction techniques, computational statistics and quantitative finance. He has published over 30 books and more than 300 papers in top statistical, econometrics and finance journals. He is highly ranked and cited on Google Scholar, REPEC and SSRN.

He has professional experience in financial engineering, smart data analytics, machine learning and cryptocurrency markets. He has created a financial risk meter FRMand a cryptocurrency index CRIX hu.berlin/frm and a cryptocurrency index CRIX hu.berlin/crix. His web page is: hu.berlin/wkh.

 

Publication opportunities

The conference is organized by Society for Business Excellence and UNESCO Department for Business Administration on the 22-23 of March 2018 at The Bucharest University of Economic Studies, Faculty of Business Administration in Foreign Languages (FABIZ). The papers accepted at ICBE 2018 will be published in the conference proceedings, subject to author registration, payment and presentation.

The presented papers will be published in the Conference Proceedings volume under the German Publishing House De Gruyter and they will be indexed in EBSCO, Proquest, ExLibris, OCLC, Google Scholar, Microsoft Academic, CELDES, CNPIE, Naviga, and will be submitted to Thomson Reuters ISI Web of Science (WOS) Conference Proceedings Citation Index.

In addition, a selection of the best papers will be published in the international journal Management & Marketing. Challenges for the Knowledge Society by De Gruyter Open, indexed in Emerging Sources Citation Index (ESCI), Scopus, Proquest, Cabell’s Directory and more than 20 other international databases (www.degruyter.com/view/j/mmcks).

At the final ceremony, for scientific merits and rigour there will be granted two Excellence Awards, and for each section a Best paper award.

 

 Submission details

Abstract submission deadline 1 October 2017
Notification of abstract acceptance 22 October 2017
Submission of full paper due for review 30 November 2017
Notification of paper acceptance (with any requested changes) 31 December 2017
Final paper due (with any changes) 19 February 2018
Final Author registration date 28 February 2018

 

Registration and payment*

EARLY BIRD REGISTRATION AND PAYMENT 14 December 2017 – 15 January 2018
Academics 160 euro
Practitioners 200 euro
PhD students 120 euro
STANDARD REGISTRATION AND PAYMENT 16 January – 28 February 2018
Academics 200 euro
Practitioners 250 euro
PhD students 150 euro
* The conference fee includes conference attendance, publication, conference folder, meals during the conference and a trip in a soon to be announced destination on the 24th of March 2018.

**Non-presenting participants are subject to a universal fee of 80 euro.

***All confirmed SBE members (who have paid their membership fee for 2018) benefit from a 30% fee discount.

 

As a first step, we require a 300-word abstract which is to be received by the 1st of October 2017. Submissions must be made using the online submission form available at www.bizexcellence.ro/icbe and the final paper should be accompanied by publishing agreements and declaration of originality.

Should you have any questions please email us at office@bizexcellence.ro.

Details about the payment and the SBE bank account are available at www.bizexcellence.ro.

Information about the conference could be found also on the website www.fabiz.ase.ro.