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» Introduction to Data Mining and Knowledge Discovery
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ICEIS
2009
IEEE
14 years 7 months ago
Mining Patterns in the Presence of Domain Knowledge
One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except basket analysis. Indeed, if we co...
Cláudia Antunes
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
Knowledge Discovery Based Query Answering in Hierarchical Information Systems
The paper concerns failing queries in incomplete Distributed Autonomous Information Systems (DAIS) based on attributes which are hierarchical and which semantics at different site...
Zbigniew W. Ras, Agnieszka Dardzinska, Osman G&uum...
PVLDB
2010
132views more  PVLDB 2010»
14 years 8 months ago
CoDA: Interactive Cluster Based Concept Discovery
Large data resources are ubiquitous in science and business. For these domains, an intuitive view on the data is essential to fully exploit the hidden knowledge. Often, these data...
Stephan Günnemann, Ines Färber, Hardy Kr...
CORR
2000
Springer
230views Education» more  CORR 2000»
14 years 9 months ago
Integrating E-Commerce and Data Mining: Architecture and Challenges
We show that the e-commerce domain can provide all the right ingredients for successful data mining. We describe an integrated architecture for supporting this integration. The ar...
Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zhen...
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
15 years 4 months ago
FpViz: a visualizer for frequent pattern mining
Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks. M...
Carson Kai-Sang Leung, Christopher L. Carmichael