Discriminative clustering for market segmentation
By Peter Haider, Luca Chiarandini, Ulf Brefeld. 2012
23 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Marketing, Signal Processing
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
- Battista Biggio
- Fabio Roli
- Giorgio Fumera
- Giorgio Giacinto
- Samuel Rota Bulò
- Marcello Pelillo
- Ignazio Pillai
- Davide Ariu
In Signal Processing
- Battista Biggio
- Fabio Roli
- Giorgio Fumera
- Samuel Rota Bulò
- Ignazio Pillai
- Marcello Pelillo
- Giorgio Giacinto
- Davide Ariu
Citations in the corpus
- Is data clustering in adversarial settings secure? (2013, background): “Applications of clustering span across a large number of different domains, such as market segmentation [14, 26], classification of web pages [10], and image segmentation [12].”
- Applications of Artificial Intelligence in Machine Learning: Review and Prospect (2015, unknown): “[18]”
- Pattern Recognition Systems under Attack: Design Issues and Research Challenges (2014, background): “To conclude, we would like to point out that other emerging applications, not necessarily related to security tasks, may also exhibit an adversarial behavior, therefore requiring a revisited design of pattern recognition systems as that advocated in this paper; for instance, machine learning is incr”