Advanced Data Mining and Applications (Record no. 90480)

000 -LEADER
fixed length control field 08654nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-3-642-17313-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730180732.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
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fixed length control field 101117s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642173134
-- 978-3-642-17313-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-17313-4
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 TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Advanced Data Mining and Applications
Medium [electronic resource] :
Remainder of title 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II /
Statement of responsibility, etc. edited by Longbing Cao, Yong Feng, Jiang Zhong.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2010.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 576 p. 198 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 6441
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note III Data Mining Methodologies and Processes -- Incremental Learning by Heterogeneous Bagging Ensemble -- CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform -- A General Multi-relational Classification Approach Using Feature Generation and Selection -- A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines -- A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets -- Change a Sequence into a Fuzzy Number -- Multiple Kernel Learning Improved by MMD -- A Refinement Approach to Handling Model Misfit in Semi-supervised Learning -- Soft Set Approach for Selecting Decision Attribute in Data Clustering -- Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study -- Adapt the mRMR Criterion for Unsupervised Feature Selection -- Evaluating the Distance between Two Uncertain Categorical Objects -- Construction Cosine Radial Basic Function Neural Networks Based on Artificial Immune Networks -- Spatial Filter Selection with LASSO for EEG Classification -- Boolean Algebra and Compression Technique for Association Rule Mining -- Cluster Based Symbolic Representation and Feature Selection for Text Classification -- SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity -- Logistic Regression for Transductive Transfer Learning from Multiple Sources -- Double Table Switch: An Efficient Partitioning Algorithm for Bottom-Up Computation of Data Cubes -- IV Data Mining Applications and Systems -- Tag Recommendation Based on Bayesian Principle -- Comparison of Different Methods to Fuse Theos Images -- Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction -- Time-Constrained Test Selection for Regression Testing -- Chinese New Word Detection from Query Logs -- Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization -- Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation -- Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition -- Real-Time Hand Detection and Tracking Using LBP Features -- Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis -- A New Statistical Approach to DNS Traffic Anomaly Detection -- Managing Power Conservation in Wireless Networks -- Using PCA to Predict Customer Churn in Telecommunication Dataset -- Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction -- Personalized Tag Recommendation Based on User Preference and Content -- Predicting Defect Priority Based on Neural Networks -- Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering -- Hybrid Semantic Analysis System - ATIS Data Evaluation -- Click Prediction for Product Search on C2C Web Sites -- Finding Potential Research Collaborators in Four Degrees of Separation -- Predicting Product Duration for Adaptive Advertisement -- An Algorithm for Available Bandwidth Estimation of IPv6 Network -- A Structure-Based XML Storage Method in YAFFS File System -- A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections -- NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment -- Two-Fold Spatiotemporal Regression Modeling in Wireless Sensor Networks -- Generating Tags for Service Reviews -- Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique -- Factor Analysis of E-business in Skill-Based Strategic Collaboration -- Increasing the Meaningful Use of Electronic Medical Records:A Localized Health Level 7 Clinical Document Architecture System -- Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs -- Application of Decision-Tree Based on Prediction Model for Project Management -- Management Policies Analysis for Multi-core Shared Caches -- Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method -- The Research on the User Experience of E-Commercial Website Based on User Subdivision -- An Ontology-Based Framework Model for Trustworthy Software Evolution -- Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval -- A Distributed Node Clustering Mechanism in P2P Networks -- Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card.
520 ## - SUMMARY, ETC.
Summary, etc. With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software.
9 (RLIN) 121585
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information storage and retrieval systems.
9 (RLIN) 22213
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management.
9 (RLIN) 3157
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 3907
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer and Information Systems Applications.
9 (RLIN) 121586
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information Storage and Retrieval.
9 (RLIN) 23927
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database Management.
9 (RLIN) 3157
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
9 (RLIN) 121587
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Communication Networks.
9 (RLIN) 121588
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cao, Longbing.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 121589
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Feng, Yong.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 121590
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhong, Jiang.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 121591
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 121592
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642173127
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642173141
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 6441
9 (RLIN) 121593
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-642-17313-4">https://doi.org/10.1007/978-3-642-17313-4</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.