Database support for data mining applications - Info and Reading Options
discovering knowledge with inductive queries
By Mika Klemettinen
"Database support for data mining applications" was published by Springer in 2004 - Berlin, it has 323 pages and the language of the book is English.
“Database support for data mining applications” Metadata:
- Title: ➤ Database support for data mining applications
- Author: Mika Klemettinen
- Language: English
- Number of Pages: 323
- Publisher: Springer
- Publish Date: 2004
- Publish Location: Berlin
“Database support for data mining applications” Subjects and Themes:
- Subjects: ➤ Data mining - Database searching - Databases - Data processing - Database management - Bases de donnees - Interrogation - Exploration de donnees (Informatique) - Exploration de donnees - Base de donnees web - Base de donnees - Reperage de l'information
Edition Specifications:
- Pagination: xii, 323 p. :
Edition Identifiers:
- The Open Library ID: OL3312931M - OL18243376W
- Online Computer Library Center (OCLC) ID: 56330625 - 56392909
- Library of Congress Control Number (LCCN): 2004095564
- ISBN-13: 9783540224792 - 9783540444978
- ISBN-10: 3540224793
- All ISBNs: 3540224793 - 9783540224792 - 9783540444978
AI-generated Review of “Database support for data mining applications”:
"Database support for data mining applications" Table Of Contents:
- 1- Database languages and query execution
- 2- Support for KDD-process.
"Database support for data mining applications" Description:
Open Data:
Lecture Notes in Artificial Intelligence 2682 -- Database Support for Data Mining Applications -- Copyright -- Preface -- Volume Organization -- Acknowledgments -- Table of Contents -- 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 -- 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★ -- Author Index
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