Results 11 to 20 of about 33,241,813 (298)
A Data-Driven Approach to Modeling Choice. [PDF]
We visit the following fundamental problem: For a 'generic' model of consumer choice (namely, distributions over preference lists) and a limited amount of data on how consumers actually make decisions (such as marginal preference information), how may one predict revenues from offering a particular assortment of choices?
Farias, Vivek F. +2 more
openaire +3 more sources
Predictive Modelling Approach to Data-Driven Computational Preventive Medicine [PDF]
This thesis contributes novel predictive modelling approaches to data-driven computational preventive medicine and offers an alternative framework to statistical analysis in preventive medicine research.
Aldraimli, M.
core +1 more source
Data-Driven Approach for Spellchecking and Autocorrection
This article presents an approach for spellchecking and autocorrection using web data for morphologically complex languages (in the case of Kazakh language), which can be considered an end-to-end approach that does not require any manually annotated word–error pairs.
Alymzhan Toleu +4 more
openaire +1 more source
Data-driven approach for labelling process plant event data
An essential requirement in any data analysis is to have a response variable representing the aim of the analysis. Much academic work is based on laboratory or simulated data, where the experiment is controlled, and the ground truth clearly defined. This
Debora Corrêa +5 more
doaj +1 more source
An exploratory approach to data driven knowledge creation
This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed approach enables the acquisition of new insights from the data by exploiting existing relationships between ...
Costantino Thanos +3 more
doaj +1 more source
A data driven learning approach for the assessment of data quality
Background Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging.
Erik Tute +2 more
doaj +1 more source
Data-Driven Approach for Credit Risk Analysis Using C4.5 Algorithm
Credit risk is bad credit, resulting in bank losses due to non-receipt of disbursed funds and unacceptable interest income. However, credit services still have to be done to achieve profit.
Muhammad Iqbal, Syahril Efendi
doaj +1 more source
Challenges for the DOE methodology related to the introduction of Industry 4.0
The introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of industrial data analysis based on the DOE (Design of Experiments) methodology. The increase in the
Pietraszek Jacek +2 more
doaj +1 more source
Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights
Roadmapping has long been regarded as a practical tool for supporting decision-making for science and technology innovation and it has received recent attention for its potential use in responses to uncertainty.
Sungjoo Lee +3 more
doaj +1 more source
A review on the gray market business using a data-driven approach
This study provides a systematic overview of the literature in gray market business using a data-driven approach and points out several future research directions.
Jinlong Zhao +2 more
doaj +1 more source

