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CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
ISMB
1993
13 years 11 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
DASFAA
2007
IEEE
162views Database» more  DASFAA 2007»
13 years 10 months ago
Framework for Extending RFID Events with Business Rule
Radio frequency identification (RFID) technology is believed to be the next revolutionary step in supply-chain management. Complex process simplification using RFID technology can ...
Mikyeong Moon, Seongjin Kim, Keunhyuk Yeom, Heeseo...
FUIN
2006
89views more  FUIN 2006»
13 years 9 months ago
(Tissue) P Systems with Unit Rules and Energy Assigned to Membranes
We introduce a new variant of membrane systems where the rules are directly assigned to membranes and, moreover, every membrane carries an energy value that can be changed during a...
Artiom Alhazov, Rudolf Freund, Alberto Leporati, M...
TPHOL
2009
IEEE
14 years 4 months ago
Formalising FinFuns - Generating Code for Functions as Data from Isabelle/HOL
Abstract. FinFuns are total functions that are constant except for a finite set of points, i.e. a generalisation of finite maps. We formalise them in Isabelle/HOL and present how...
Andreas Lochbihler