%0 Conference Paper %1 russ2007nafips %A Ruß, Georg %A Böttcher, Mirko %A Kruse, Rudolf %B Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007) %D 2007 %K mybib %P 54--59 %T Relevance Feedback for Association Rules using Fuzzy Score Aggregation %X 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.

@inproceedings{russ2007nafips, abstract = {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.}, added-at = {2007-09-20T13:19:55.000+0200}, author = {Ruß, Georg and Böttcher, Mirko and Kruse, Rudolf}, biburl = {https://www.bibsonomy.org/bibtex/25f5a5fd09c26b8f85decfd43a277404c/gr650}, booktitle = {Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007)}, citeulike-article-id = {1540636}, interhash = {5ca240cb075f02f2ad3204ffd8d49235}, intrahash = {5f5a5fd09c26b8f85decfd43a277404c}, keywords = {mybib}, pages = {54--59}, priority = {0}, timestamp = {2007-09-20T13:19:55.000+0200}, title = {Relevance Feedback for Association Rules using Fuzzy Score Aggregation}, year = 2007 }