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Automated Data Harmonization (ADH) using Artificial Intelligence (AI)

Dutta, Anjan; Deb, Tomal; Pathak, Shrikant - In: Opsearch : journal of the Operational Research Society … 58 (2021) 2, pp. 257-275

Persistent link: https://www.econbiz.de/10012548762

Investing data with machine learning using Python

Gupta, Anish; Gupta, Manish; Chaturvedi, Prateek - In: Strategic system assurance and business analytics, (pp. 1-9). 2020

Persistent link: https://www.econbiz.de/10012240679

Model selection using database characteristics : developing a classification tree for longitudinal incidence data

Schwartz, Eric M.; Bradlow, Eric T.; Fader, Peter - In: Marketing science : the marketing journal of the … 33 (2014) 2, pp. 188-205

Persistent link: https://www.econbiz.de/10010358791

The forthcoming data ecosystem for business measurement and assurance

Cho, Soohyun; Vasarhelyi, Miklos A.; Zhang, Chanyuan - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 1-21

Persistent link: https://www.econbiz.de/10012416666

Artificial intelligence databases: turn-on big data of the SMBs

Manivannan, P.; Prabha, D.; Balasubramanian, K. - In: International journal of business information systems : … 39 (2022) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10012887829

Entity matching with similarity encoding : a supervised learning recommendation framework for linking (big) data

Karapanagiotis, Pantelis; Liebald, Marius - 2023

In this study, we introduce a novel entity matching (EM) framework. It com-bines state-of-the-art EM approaches based on Artiﬁcial Neural Networks (ANN) with a new similarity encoding derived from matching techniques that are preva-lent in ﬁnance and economics. Our framework is on-par or...

Persistent link: https://www.econbiz.de/10014327033