Ghent University Academic Bibliography

Your filters: cql: keyword exact "predictive analytics"

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- Journal Article
- A1
Augmentation-free longitudinal modeling through structuring whitened embeddings

Karel Fonteyn (UGent) , Lennert Bontinck (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2025) IEEE ACCESS. 13. p.159950-159960
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- PhD Thesis
Explainable predictive analytics and decision support for real-time control room management

Léon Sobrie (UGent)

(2024)
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- Conference Paper
- C3
- open access
Integrating AI into CAD systems : manufacturing cost estimation and redesign proposal

Lukas De Kerpel (UGent) and Dries Benoit (UGent)

(2023) Flanders Make Conference on Machines, Vehicles and Production Technology (CMVPT) 2023, Abstracts.
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- Journal Article
- A1
- open access
Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms

Matthias Bogaert (UGent) , Michel Ballings, Dirk Van den Poel (UGent) and Asil Oztekin

(2021) DECISION SUPPORT SYSTEMS. 147.
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- Journal Article
- A1
- open access
Home location prediction with telecom data : benchmarking heuristics with a predictive modelling approach

Dieter Oosterlinck, Philippe Baecke and Dries Benoit (UGent)

(2021) EXPERT SYSTEMS WITH APPLICATIONS. 170.
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- Journal Article
- A1
- open access
Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data

Lisa Schetgen (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2021) DECISION SUPPORT SYSTEMS. 141.
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- Journal Article
- A1
Recommendations for enhancing the usability and understandability of process mining in healthcare

Niels Martin, Jochen De Weerdt, Carlos Fernandez-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibanez, Owen Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens (UGent) , et al.

(2020) ARTIFICIAL INTELLIGENCE IN MEDICINE. 109.
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- Conference Paper
- C3
Acquisition modeling in the nonprofit sector based on Facebook data

Lisa Schetgen (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2019) INFORMS Annual Meeting, Abstracts.
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- PhD Thesis
- open access
Harnessing the power of social media in predictive analytics

Matthias Bogaert (UGent)

(2018)
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- Journal Article
- A1
The added value of social media data in B2B customer acquisition systems : a real-life experiment

Matthijs Meire (UGent) , Michel Ballings (UGent) and Dirk Van den Poel (UGent)

(2017) DECISION SUPPORT SYSTEMS. 104. p.26-37
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- Conference Paper
- C3
Predicting buyer behavior using social media data

Matthias Bogaert (UGent) , Kelly Hewett, Michel Ballings (UGent) and Dirk Van den Poel (UGent)

(2015) INFORMS annual meeting 2015.
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- Journal Article
- A1
CRM in social media: predicting increases in Facebook usage frequency

Michel Ballings (UGent) and Dirk Van den Poel (UGent)

(2015) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 244(1). p.248-260
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- Conference Paper
- C3
A novel solution approach for large-scale VRP with stochastic customers

Dauwe Vercamer (UGent) , Dirk Van den Poel (UGent) and Birger Raa (UGent)

(2013) Euro-Informs joint international conference, Abstracts. p.418-418
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- Journal Article
- A1
Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity

Philippe Baecke (UGent) and Dirk Van den Poel (UGent)

(2013) JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. 41(1). p.73-90
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- Journal Article
- A1
Predicting customer profitability during acquisition: finding the optimal combination of data source and data mining technique

Jeroen D'Haen (UGent) , Dirk Van den Poel (UGent) and Dirk Thorleuchter (UGent)

(2013) EXPERT SYSTEMS WITH APPLICATIONS. 40(6). p.2007-2012
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- Journal Article
- A1
Improving customer retention in financial services using kinship network information

Dries Benoit (UGent) and Dirk Van den Poel (UGent)

(2012) EXPERT SYSTEMS WITH APPLICATIONS. 39(13). p.11435-11442
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- Journal Article
- A1
- open access
Customer event history for churn prediction: how long is long enough?

Michel Ballings (UGent) and Dirk Van den Poel (UGent)

(2012) EXPERT SYSTEMS WITH APPLICATIONS. 39(18). p.13517-13522
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- Journal Article
- A1
Modeling partial customer churn: on the value of first product-category purchase sequences

Vera L Migueis, Dirk Van den Poel (UGent) , AS Camanho and JFE Cunha

(2012) EXPERT SYSTEMS WITH APPLICATIONS. 39(12). p.11250-11256
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- Conference Paper
- P1
Incorporating neighborhood effects in customer relationship management models

Philippe Baecke (UGent) and Dirk Van den Poel (UGent)

(2011) LECTURE NOTES IN COMPUTER SCIENCE. 6804. p.90-95
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- Journal Article
- A1
Improving purchasing behavior predictions by data augmenting with situational variables

Philippe Baecke (UGent) and Dirk Van den Poel (UGent)

(2010) INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING. 9(6). p.853-872
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- Book Chapter
Quo Vadis? Een verkenning van enige ontwikkelingen in het criminografische landschap

Rachid Kerkab (UGent)

(2010) Criminografische ontwikkelingen : van (victim)-survey tot penitentaire statistiek. In Panopticon Libri 5. p.141-160

Academic Bibliography

Augmentation-free longitudinal modeling through structuring whitened embeddings

Explainable predictive analytics and decision support for real-time control room management

Integrating AI into CAD systems : manufacturing cost estimation and redesign proposal

Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms

Home location prediction with telecom data : benchmarking heuristics with a predictive modelling approach

Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data

Recommendations for enhancing the usability and understandability of process mining in healthcare

Acquisition modeling in the nonprofit sector based on Facebook data

Harnessing the power of social media in predictive analytics

The added value of social media data in B2B customer acquisition systems : a real-life experiment

Predicting buyer behavior using social media data

CRM in social media: predicting increases in Facebook usage frequency

A novel solution approach for large-scale VRP with stochastic customers

Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity

Predicting customer profitability during acquisition: finding the optimal combination of data source and data mining technique

Improving customer retention in financial services using kinship network information

Customer event history for churn prediction: how long is long enough?

Modeling partial customer churn: on the value of first product-category purchase sequences

Incorporating neighborhood effects in customer relationship management models

Improving purchasing behavior predictions by data augmenting with situational variables

Quo Vadis? Een verkenning van enige ontwikkelingen in het criminografische landschap

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