Search Results - subject:"data preparation"

Deep neural network model enhanced with data preparation for the directional predictability of multi-stock returns

Samak Boonpan; Weerachai Sarakorn - In: Journal of open innovation : technology, market, and … 11 (2025) 1, pp. 1-15

This study presents novel deep neural networks (DNNs) that integrate a thorough data preparation process, including … return directions. Our research emphasizes the importance of data preparation and fine-tuning model parameters for reliable …

Persistent link: https://www.econbiz.de/10015358507

A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis

Stüber, Heiko; Dauth, Wolfgang; Eppelsheimer, Johann - In: Journal for Labour Market Research 57 (2023) 1, pp. 1-18

supplementary material to this article contains extensively annotated Stata do-files to replicate our data preparation. …

Persistent link: https://www.econbiz.de/10014370269

Machine autonomy and the human actors : a stakeholder network theory approach to ethics of AI

Bhuyan, Nisigandha - 2023

Persistent link: https://www.econbiz.de/10014394231

A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis

Stüber, Heiko; Dauth, Wolfgang; Eppelsheimer, Johann - In: Journal for labour market research 57 (2023) 1, pp. 1-18

supplementary material to this article contains extensively annotated Stata do-files to replicate our data preparation. …

Persistent link: https://www.econbiz.de/10014430035

A novel Hybrid Exhaustive Search and data preparation technique with multi-objective Discrete Hopfield Neural Network

Alway, Alyaa; Nur Ezlin Zamri; Mohd. Asyraf Mansor; … - In: Decision analytics journal 9 (2023), pp. 1-13

data preparation techniques, including feature selection and a method for identifying the best-induced logic. This best … existing models in all metrics demonstrating the effectiveness of expanded storage capacity and novel data preparation …

Persistent link: https://www.econbiz.de/10014533145

Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis: a guide

Dauth, Wolfgang; Eppelsheimer, Johann - In: Journal for Labour Market Research 54 (2020) 1, pp. 1-14

data preparation and the subsequent analysis. …

Persistent link: https://www.econbiz.de/10012518451

Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis : a guide

Dauth, Wolfgang; Eppelsheimer, Johann - In: Journal for labour market research 54 (2020) 1/10, pp. 1-14

data preparation and the subsequent analysis. …

Persistent link: https://www.econbiz.de/10012297658

Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco; de Waal, Peter - In: Decision Analytics 1 (2014) 1, pp. 1-17

method can be. Forecasting can often be improved by data preparation. The right preparation method can unveil important … information hidden in the available data and decrease the perceived variance and uncertainty. In this case data preparation did …

Persistent link: https://www.econbiz.de/10011656506

Is there a trade-off between the predictive power and the interpretability of bankruptcy models? The case of the first Hungarian bankruptcy prediction model

Virág, Miklós; Nyitrai, Tamás - In: Acta Oeconomica 64 (2014) December, pp. 419-440

In our work, we compare the predictive power of different bankruptcy prediction models built on financial indicators calculable from businesses’ accounting data on the database of the first Hungarian bankruptcy model. For modelling, we use data-mining methods often applied in bankruptcy...

Persistent link: https://www.econbiz.de/10011119842

Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17

Persistent link: https://www.econbiz.de/10010338778