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» Query Languages for Knowledge Discovery in Databases
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TKDE
2012
194views Formal Methods» more  TKDE 2012»
13 years 12 days ago
A Query Formulation Language for the Data Web
— We present a query formulation language (called MashQL) in order to easily query and fuse structured data on the web. The main novelty of MashQL is that it allows people with l...
Mustafa Jarrar, Marios D. Dikaiakos
ESWA
2006
139views more  ESWA 2006»
14 years 10 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
AAAI
1990
14 years 11 months ago
The Intelligent Database Interface: Integrating AI and Database Systems
The Intelligent Database Interface (IDI) is a cache-based interface that is designed to provide Artificial Intelligence systems with efficient access to one or more databases on o...
Donald P. McKay, Timothy W. Finin, Anthony B. O'Ha...
ADC
2003
Springer
173views Database» more  ADC 2003»
15 years 3 months ago
Cooperative Query Answering for Semistructured Data
Semistructured data, in particular XML, has emerged as one of the primary means for information exchange and content management. The power of XML allows authors to structure a doc...
Michael Barg, Raymond K. Wong
ICDE
2007
IEEE
179views Database» more  ICDE 2007»
15 years 4 months ago
A New ILP-based Concept Discovery Method for Business Intelligence
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...