Due to the potentially immense amount of frequent sets that can be generated from transactional databases, recent studies have demonstrated the need for concise representations of all frequent sets. These studies resulted in several successful algorithms that only generate a lossless subset of the frequent sets. In this paper, we present a unifying framework encapsulating most known concise representations. Because of the deeper understanding of the different proposals thus obtained, we are able to provide new, provably more concise, representations. These theoretical results are supported by several experiments showing the practical applicability.
|Titel||Knowledge Discovery in Databases : PKDD 2003 (Proceedings 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003)|
|Redacteuren||N. Lavrac, D. Gamberger, H. Blockeel, L. Todorovski|
|Plaats van productie||Berlin|
|ISBN van geprinte versie||3-540-20085-1|
|Status||Gepubliceerd - 2003|
|Naam||Lecture Notes in Computer Science|
|ISSN van geprinte versie||0302-9743|