Advanced Data Mining and Applications (Record no. 87680)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-031-22137-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730171552.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031221378
-- 978-3-031-22137-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-22137-8
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 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II /
Statement of responsibility, etc. edited by Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 487 p. 192 illus., 142 illus. in color.
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 13726
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Text Mining -- Towards Idea Mining: Problem-Solution Phrases Extraction From Text -- Spam Email Categorization with NLP and Using Federated Deep Learning -- SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings -- DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data -- ESTD: Empathy Style Transformer with Discriminative Mechanism -- Detection Method of User Behavior Transition on Computer -- Image, Multimedia and Time Series Data Mining -- Ensemble Image Super-resolution CNNs for Small Data and Diverse Compressive Models -- Optimizing MobileNetV2 Architecture Using Split Input and Layer Replications for 3D Face Recognition Task -- GANs for Automatic Generation of Data Plots -- An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data -- Information Mining from Images of Pipeline Based on Knowledge Representation and Reasoning -- Binary Gravitational Subspace Search for Outlier Detection in High Dimensional Data Streams -- Classification, Clustering and Recommendation -- Signal Classification using Smooth Coecients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal -- On Reducing the Bias of Random Forest -- A collaborative filtering recommendation method integrating user profiles -- A Quality Metric for K-Means Clustering Based on Centroid Locations -- Clustering Method for Touristic Photographic Spots Recommendation -- Personalized Federated Learning with Robust Clustering against Model Poisoning -- A Data-Driven Framework for Driving Style Classification -- Density Estimation in High-Dimensional Spaces: a Multivariate Histogram Approach -- Multi-objective, Optimization, Augmentation, and Database -- Correcting Temporal Overlaps in Process Models Discovered from OLTP Databases -- WDA: A Domain-Aware Database Schema Analysis for improving OBDA-based Event Log Extractions -- A Cricket-based Selection Hyper-heuristic for Many-objective Optimization Problems -- Multi-Objective Optimization Based Feature Selection Using Correlation -- SAME: Sampling Attack in Multiplex Network Embedding -- Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining -- Using the Strongest Adversarial Example to Alleviate Robust Overfitting -- Deduplication Over Heterogeneous Attribute Types (D-HAT) -- Others -- Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis -- Location Data Anonymization Retaining Data Mining Utilization -- A Distributed SAT-based Framework for Closed Frequent Itemset Mining -- Index Advisor via DQN with Invalid Action Mask in Tree-Structured Action Space -- A Hybrid Model for Demand Forecasting Based on the Combination of Statistical and Machine Learning Methods -- A Boosting Algorithm for Training from Only Unlabeled Data -- A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models.
520 ## - SUMMARY, ETC.
Summary, etc. The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
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 Data mining.
9 (RLIN) 3907
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 99334
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer systems.
9 (RLIN) 99336
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Education
General subdivision Data processing.
9 (RLIN) 82607
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software.
9 (RLIN) 99338
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 Data Mining and Knowledge Discovery.
9 (RLIN) 99341
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 99343
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer System Implementation.
9 (RLIN) 38514
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers and Education.
9 (RLIN) 41129
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer and Information Systems Applications.
9 (RLIN) 99346
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chen, Weitong.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 99348
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yao, Lina.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 99350
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cai, Taotao.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 99351
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pan, Shirui.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 99353
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shen, Tao.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 99355
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Xue.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 99356
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 99357
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031221361
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031221385
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 13726
9 (RLIN) 99358
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-22137-8">https://doi.org/10.1007/978-3-031-22137-8</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.