@proceedings {173,
	title = {Dance Hit Song Science},
	year = {2013},
	edition = {6th},
	address = {Prague},
	abstract = {<p>With annual investments of several billions of dollars worldwide, record companies can benefit tremendously by gaining insight into what actually makes a hit song. This question is tackled in this research by focussing on the dance hit song problem prediction problem. A database of dance hit songs from 1985 until 2013 is built, including basic musical features, as well as more advanced features that capture a temporal aspect. Different classifiers are used to build and test dance hit prediction models. The resulting model has a good performance when predicting whether a song is a {\textquoteleft}{\textquoteleft}top 10\&$\#$39;\&$\#$39; dance hit versus a lower listed position.</p>},
	author = {D. Herremans and David Martens and K. S{\"o}rensen}
}
