Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics

By David Martens, Foster J. Provost, Jessica Clark, Enric Junqué de Fortuny. 2016

124 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Marketing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Julie Moeyersoms
2. David Martens
3. Foster J. Provost
4. Brian M. D’Alessandro
5. Dolores Romero Morales
6. Chris Russell
7. Nitesh V. Chawla
8. Cynthia Rudin

In Information Systems

1. David Martens
2. Julie Moeyersoms
3. Foster J. Provost
4. Brian M. D’Alessandro
5. Cynthia Rudin
6. Nitesh V. Chawla
7. Bryan Perozzi
8. Huan Liu

In Marketing

1. David Martens
2. Foster J. Provost
3. Brian M. D’Alessandro
4. Julie Moeyersoms

Citations in the corpus

• Explaining Classification Models Built on High-Dimensional Sparse Data (2016, methodology): “Using fine-grained behavior data has been shown to build more accurate models than traditional, structured and engineered data, such as socio-demographic data (Martens et al., 2016).”