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IDEAL
2003
Springer
15 years 5 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
ISMIS
2005
Springer
15 years 5 months ago
Flexible Pattern Discovery with (Extended) Disjunctive Logic Programming
Abstract. The post-genomic era showed up a wide range of new challenging issues for the areas of knowledge discovery and intelligent information management. Among them, the discove...
Luigi Palopoli, Simona E. Rombo, Giorgio Terracina
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 5 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
IAT
2007
IEEE
15 years 6 months ago
An Intelligent Web Agent to Mine Bilingual Parallel Pages via Automatic Discovery of URL Pairing Patterns
This paper describes an intelligent agent to facilitate bitext mining from the Web via automatic discovery of URL pairing patterns (or keys) for retrieving parallel web pages. The...
Chunyu Kit, Jessica Yee Ha Ng
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 3 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse