Output details
11 - Computer Science and Informatics
University of Bristol
Output title
An information theoretic framework for data mining
Type
E - Conference contribution
Name of conference/published proceedings
The 17th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD)
Volume number
-
Issue number
-
First page of article
564
ISSN of proceedings
-
Year of publication
2011
Number of additional authors
0
Additional information
<15> This paper was one of the select number of papers accepted for oral presentation at KDD 2011. The key contribution is that it presented a theoretical framework that considers the data miner as an integral part of the data mining process. It attempts to model the data miner as much as the data itself, and in this way is capable of understanding the prior beliefs and interests of the data miner. This paper, along with [De Bie-2], resulted in De Bie being invited to give a keynote talk at the IDA 2013 conference.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Intelligent Systems Laboratory
Citation count
9
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
