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Database Support for Data Mining Applications (Record no. 16353)

000 -LEADER
fixed length control field 03937nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-540-44497-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170515111605.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121227s2004 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540444978
-- 978-3-540-44497-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/b99016
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Database Support for Data Mining Applications
Medium [electronic resource] :
Remainder of title Discovering Knowledge with Inductive Queries /
Statement of responsibility, etc edited by Rosa Meo, Pier Luca Lanzi, Mika Klemettinen.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2004.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 332 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 2682
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information storage and retrieval.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Storage and Retrieval.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Meo, Rosa.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lanzi, Pier Luca.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Klemettinen, Mika.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540224792
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 0302-9743 ;
Volume number/sequential designation 2682
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/b99016
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912 ## -
-- ZDB-2-LNC
912 ## -
-- ZDB-2-BAE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type e-Book

No items available.


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