Title
Pattern Extraction From Bag Databases
Abstract
Many databases in real life involve pairs of the form (item, quantity). This kind of data can be characterized using the theory of bags. We present a general framework for extracting useful knowledge from bag databases using different types of patterns. Here we present different approaches for the task of discovering fuzzy association rules and gradual dependencies in bag databases.
Year
DOI
Venue
2008
10.1142/S0218488508005376
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Keywords
DocType
Volume
patterns, association rules, bag databases, fuzzy bags, fuzzy transactions, gradual dependencies
Journal
16
Issue
ISSN
Citations 
4
0218-4885
3
PageRank 
References 
Authors
0.39
9
3
Name
Order
Citations
PageRank
Miguel Delgado11452121.94
M. Dolores Ruiz211412.49
Daniel Sánchez396760.29