I Database Languages and Query Execution
Inductive Databases and Multiple Uses of Frequent Itemsets: the cINQ Approach
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Declarative Data Mining Using SQL3
Towards a Logic Query Language for Data Mining
A Data Mining Query Language for Knowledge Discovery in a
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更多)
I Database Languages and Query Execution
Inductive Databases and Multiple Uses of Frequent Itemsets: the cINQ Approach
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Declarative Data Mining Using SQL3
Towards a Logic Query Language for Data Mining
A Data Mining Query Language for Knowledge Discovery in a
Towards Query Evaluation in Inductive Databases Using Version Spaces
The GUHA Method, Data Preprocessing and Mining
Constraint Based Mining of First Order Sequences in SeqLog
II Support for KDD-Process
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
Frequent Itemset Discovery with SQL Using Universal Quantification
Deducing Bounds on the Support of Itemsets
Model-Independent Bounding Of the Supports of Boolean Formulae in Binary Data
Condensed Representations for Sets of Mining Queries
One-Sided Instance-Based Boundary Sets
Domain tructures in Filtering irrelevant Frequent Patterns
Integrity Constraints over Association Rules
Author Index
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还没人写过短评呢
还没人写过短评呢