Herrmann, Markus; Hoyden, Laura(Editorial Universitat Politècnica de València, 2016-10-10)
[EN] Modern Webscraping tools and APIs facilitate the extraction of information
from the Internet significantly. We outline, that Webscraping, as a common
practice to load, prepare and statistically analyze specific ...
[EN] A typical analytical lifecycle in data science projects starts with the process of data generation and collection, continues with data preparation and preprocessing and heads towards project specific analytics, ...
[EN] Insights and knowledge extraction from conventional analytics or reporting
solutions is mostly neither trivial, nor intuitive. Moreover, many applications
have unique interfaces and operating controls, forcing users ...
Kisilevich, Slava; Herrmann, Markus(Editorial Universitat Politècnica de València, 2023-09-22)
[EN] Marketing Mix Modeling (MMM) employs statistical techniques, typically linear regressions, to assess the impact of advertising expenditure on sales. Despite advancements in statistics and machine learning, the field ...
Herrmann, Markus; Fiedler, Marc(Editorial Universitat Politècnica de València, 2020-07-10)
[EN] In Data Science practices it is commonly assumed and accepted to abstract
and slice big data architectures into functional layers, in particular a triad of
governance-, data analysis- and persistence layer. However, ...