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BNCOD
2003
127views Database» more  BNCOD 2003»
13 years 8 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
ADBIS
2003
Springer
194views Database» more  ADBIS 2003»
14 years 19 days ago
Rule-Based Generation of XML DTDs from UML Class Diagrams
We present an approach of how to extract automatically an XML document structure from a conceptual data model that describes the content of a document. We use UML class diagrams as...
Thomas Kudrass, Tobias Krumbein
LBM
2007
13 years 8 months ago
Syntactic Features for Protein-Protein Interaction Extraction
Background: Extracting Protein-Protein Interactions (PPI) from research papers is a way of translating information from English to the language used by the databases that store th...
Rune Sætre, Kenji Sagae, Jun-ichi Tsujii
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 8 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
DEXA
2006
Springer
129views Database» more  DEXA 2006»
13 years 11 months ago
Selectively Storing XML Data in Relations
This paper presents a new framework for users to select relevant data from an XML document and store it in an existing relational database, as opposed to previous approaches that s...
Wenfei Fan, Lisha Ma