Items related to Database Support for Data Mining Applications: Discovering...
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries - Softcover
Synopsis
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 Geographical Information System.- 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.- 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 Structures in Filtering Irrelevant Frequent Patterns.- Integrity Constraints over Association Rules.
"synopsis" may belong to another edition of this title.
(No Available Copies)
Search Books: Create a WantCan't find the book you're looking for? We'll keep searching for you. If one of our booksellers adds it to AbeBooks, we'll let you know!
Create a Want
