Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

178

PKDD
2000
Springer

116views Data Mining» more PKDD 2000»

Prior Knowledge in Economic Applications of Data Mining

15 years 10 months ago

Prior Knowledge in Economic Applications of Data Mining

Download people.cs.uu.nl

A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important requirement with a view toward explaining and justifying decisions based on such models. We explore the use of monotonicity constraints in classification tree algorithms. We present an application of monotonic classification trees to a problem in house pricing. In this preliminary study we found that the monotonic trees were only slightly worse in classification performance, but were much simpler than their non-monotonic counterparts.

A. J. Feelders

Real-time Traffic

Classification Trees | Data Mining | Monotonicity | Monotonicity Constraints | PKDD 2000 |

claim paper

Related Content

» Pedestrian flow prediction in extensive road networks using biased observational data

» Incorporating prior knowledge with weighted margin support vector machines

» FacetCube a framework of incorporating prior knowledge into nonnegative tensor factorizati...

» Interesting Patterns Extraction Using Prior Knowledge

» CoLe A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection

» Small is beautiful discovering the minimal set of unexpected patterns

» Mining frequent geographic patterns with knowledge constraints

» Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTuto...

» Incorporating Constraints and Prior Knowledge into Factorization Algorithms An Applicatio...

Post Info
More Details (n/a)

Added	25 Aug 2010
Updated	25 Aug 2010
Type	Conference
Year	2000
Where	PKDD
Authors	A. J. Feelders

Comments (0)