Advanced Data Mining and Applications (Record no. 174732)

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001 - CONTROL NUMBER
control field 978-3-031-22137-8
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125137.0
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
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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 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 487 p. 192 illus., 142 illus. in color.
Other physical details online resource.
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-- computer
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/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 as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Education
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
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 Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer System Implementation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers and Education.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chen, Weitong.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yao, Lina.
Relator term editor.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cai, Taotao.
Relator term editor.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pan, Shirui.
Relator term editor.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shen, Tao.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Xue.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031221361
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031221385
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 13726
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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Koha item type eBooks-CSE-Springer

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