A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
On Interactive Pattern Mining from Relational Databases
Lecture Notes in Computer Science
In this paper we present ConQueSt, a constraint based querying system devised with the aim of supporting the intrinsically exploratory (i.e., human-guided, interactive, iterative) nature of pattern discovery. Following the inductive database vision, our framework provides users with an expressive constraint based query language which allows the discovery process to be effectively driven toward potentially interesting patterns. Such constraints are also exploited to reduce the cost of patterndoi:10.1007/978-3-540-75549-4_4 dblp:conf/kdid/BonchiGLOPT06 fatcat:44xxzof33bh2jecen3wdrg7xvq