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Data Warehousing and Knowledge Discovery (Record no. 19279)

000 -LEADER
fixed length control field 05978nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-642-15105-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170515111738.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 100830s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642151057
-- 978-3-642-15105-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-15105-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM021000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition number 23
245 10 - TITLE STATEMENT
Title Data Warehousing and Knowledge Discovery
Medium [electronic resource] :
Remainder of title 12th International Conference, DAWAK 2010, Bilbao, Spain, August/September 2010. Proceedings /
Statement of responsibility, etc edited by Torben Bach Pedersen, Mukesh K. Mohania, A Min Tjoa.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent X, 338 p. 107 illus.
Other physical details online resource.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 6263
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Data Warehouse Modeling and Spatial Data Warehouses -- Logic Programming for Data Warehouse Conceptual Schema Validation -- A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources -- Physical Design and Implementation of Spatial Data Warehouses Supporting Continuous Fields -- Benchmarking Spatial Data Warehouses -- Mining Social Networks and Graphs -- Discovering Community-Oriented Roles of Nodes in a Social Network -- A Graph-Based Clustering Scheme for Identifying Related Tags in Folksonomies -- Frequent Sub-graph Mining on Edge Weighted Graphs -- Physical Data Warehouse Design -- & : A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters -- Yet Another Algorithms for Selecting Bitmap Join Indexes -- Speeding Up Queries in Column Stores -- Dependency Mining -- Mining Non-redundant Information-Theoretic Dependencies between Itemsets -- Discovery and Application of Functional Dependencies in Conjunctive Query Mining -- Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients -- Business Intelligence and Analytics -- The NOX Framework: Native Language Queries for Business Intelligence Applications -- Experience in Extending Query Engine for Continuous Analytics -- Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies -- Outlier and Image Mining -- A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data -- Specialty Mining -- Region of Interest Based Image Categorization -- Pattern Mining -- Meta-learning for Post-processing of Association Rules -- A Relational Approach for Discovering Frequent Patterns with Disjunctions -- An Occurrence Based Approach to Mine Emerging Sequences -- Mining Closed Itemsets in Data Stream Using Formal Concept Analysis -- Data Cleaning and Variable Selection -- XML Data Fusion -- An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index -- Modelling Complex Data by Learning Which Variable to Construct.
520 ## - SUMMARY, ETC.
Summary, etc Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision-making process, the data to be considered become more and more complex in both structure and semantics. New developments such as cloud computing add to the challenges with massive scaling, a new computing infrastructure, and new types of data. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data forms the litmus test for research in the area. In the last decade, the International Conference on Data Warehousing and Kno- edge Discovery (DaWaK) has become one of the most important international sci- tific events bringing together researchers, developers, and practitioners to discuss the latest research issues and experiences in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. th This year’s conference, the 12 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2010), continued the tradition by discussing and disseminating innovative principles, methods, algorithms, and solutions to challe- ing problems faced in the development of data warehousing, knowledge discovery, the emerging area of "cloud intelligence," and applications within these areas. In order to better reflect novel trends and the diversity of topics, the conference was organized in four tracks: Cloud Intelligence, Data Warehousing, Knowledge Discovery, and Industry and Applications.
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 Computer communication systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer programming.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data structures (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 Data mining.
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 Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming Techniques.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Systems Applications (incl. Internet).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Structures.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bach Pedersen, Torben.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mohania, Mukesh K.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tjoa, A Min.
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 9783642151040
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 0302-9743 ;
Volume number/sequential designation 6263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-15105-7
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type e-Book

No items available.


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