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Big data and data analytics in e-commerce

Berntzen, Lasse; Krumova, Milena; Eixelsberger, Wolfgang; … - In: Proceedings of the IWEMB 2019 : Third International …, (pp. 23-47). 2020

Persistent link: https://www.econbiz.de/10012521536

Too good to be true : the role of online reviews' features in probability to buy

Maslowska, Ewa; Malthouse, Edward C.; Bernritter, Stefan F. - In: International journal of advertising : the quarterly … 36 (2017) 1, pp. 142-163

Persistent link: https://www.econbiz.de/10011687909

Usage of customer reviews in online shopping : analyzing characteristics of customer reviews

Kräuter, Saskia; Eine, Bastian; Quint, Werner - In: Proceedings of the IWEMB 2019 : Third International …, (pp. 191-210). 2020

Persistent link: https://www.econbiz.de/10012521559

Multisided markets and platform dominance

Alleman, James H.; Baranes, Edmond; Rappoport, Paul N. - 2019

The internet giants - Facebook, Amazon, Netflix and Google, among others - have transformed society with both positive … internet giants are multisided markets (MSM); their economic rents are "hidden" from the public. On the user-side of the market … rents are not so obvious. This paper addresses the monopolistic/monopsony aspect of the internet giants. In the singlesided …

Persistent link: https://www.econbiz.de/10012151937

Big data analytics : an aid to detection of non-technical losses in power utilities

Micheli, Giovanni; Soda, Emiliano; Vespucci, Maria Teresa; … - In: Computational Management Science : CMS 16 (2019) 1/2, pp. 329-343

Persistent link: https://www.econbiz.de/10011993487

Spatial econometric modelling of massive datasets : the contribution of data mining

Arbia, Giuseppe; Tabasso, M. - 2013

In this paper we provide a brief overview of some of the most recent empirical research on spatial econometric models and spatial data mining. Data mining in general is the search for hidden patterns that may exist in large databases. Spatial data mining is a process to discover interesting,...

Persistent link: https://www.econbiz.de/10011532588

Outlier detection in data mining : Exclusion of errors or loss of information?

Hochkamp, Florian; Rabe, Markus - In: Changing tides : the new role of resilience and …, (pp. 91-117). 2022

Purpose: Our research emphasizes the importance of considering outliers in production logistics tasks. With a growing amount of data, we require data mining to cope with these tasks. We underline that the widespread exclusion of outliers in data pre-processing for data mining leads to a loss of...