TY  - CONF
ID  - russ2007nafips
T1  - Relevance Feedback for Association Rules using Fuzzy Score Aggregation
A1  - Ruß, Georg
A1  - Böttcher, Mirko
A1  - Kruse, Rudolf
TI  - Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007)
Y1  - 2007
SP  - 54
EP  - 59
UR  - http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=4271033&isnumber=4271017
M2  - doi: 10.1109/nafips.2007.383810
N2  - We propose a novel and more flexible relevance feedback for association rules which is based on a fuzzy notion of relevance. Our approach transforms association rules into a vector-based representation using some inspiration from document vectors in information retrieval. These vectors are used as the basis for a relevance feedback approach which builds a knowledge base of rules previously rated as (un)interesting by a user. Given an association rule the vector representation is used to obtain a fuzzy score of how much this rule contradicts a rule in the knowledge base. This yields a set of relevance scores for each assessed rule which still need to be aggregated. Rather than relying on a certain aggregation measure we utilize OWA operators for score aggregation to gain a high degree of flexibility and understandability.
ER  -