Advanced Data Mining and Applications (Record no. 174731)
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| fixed length control field | 06705nam a22006735i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-22064-7 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125137.0 |
| 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 | 221123s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031220647 |
| -- | 978-3-031-22064-7 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-22064-7 |
| 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 I / |
| 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, 537 p. 172 illus., 143 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume number/sequential designation | 13725 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Finance and Healthcare -- Application of Supplemental Sampling and Interpretable AI in Credit Scoring for Canadian Fintechs: Methods and Case Studies -- A Deep Convolutional Autoencoder-based Approach for Parkinson's Disease Diagnosis Through Speech Signals -- Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-influence Ordered-pair Patterns -- Finding Hidden Relationships Between Medical Concepts By Leveraging Metamap And Text Mining Techniques -- Causality Discovery Based on Combined Causes and Multiple Causes in Drug-drug Interaction -- An Integrated Medical Recommendation Mechanism Combining Promote Product Singular Value Decomposition and Knowledge Graph -- Web and IoT Applications -- Joint Extraction of Entities and Relations in The News Domain -- Event Detection From Web Data in Chinese Based on Bi-LSTM with Attention -- Sentiment Analysis of Tweets Using Deep Learning -- Cyber Attack Detection in IoT Networks with Small Samples: Implementation and Analysis -- SATB: A Testbed of IoT-based Smart Agriculture Network for Dataset Generation -- An Overview on Reducing Social Networks' Size -- AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education -- Profit Maximization using Social Networks in Two-Phase Setting -- On-device Application -- SESA: Fast Trajectory Compression Method Using Sub-trajectories Segmented by Stay Areas -- Android Malware Detection Based on Stacking and Multi-feature Fusion -- In uential Billboard Slot Selection using Pruned Submodularity Graph -- Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances -- The Coherence and Divergence Between the Objective and Subjective Measurements of Street Perceptions for Shanghai -- Other Applications -- A Comparative Study of Question Answering over Knowledge Bases -- A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography -- Popularity Forecasting for Emerging Research Topics at its Early Stage of Evolution -- Positive Unlabeled Learning by Sample Selection and Prototype Refinement -- Handling missing data with Markov boundary -- Pattern Mining -- An Efficient Method for outlying Aspect Mining based on Genetic Algorithm -- Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data -- TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization -- Mining Maximal Sub-prevalent Co-location Patterns Based on k-hop -- An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns -- Mining E-closed High Utility Co-location Patterns From Spatial Data -- Graph Mining -- Implementation and Analysis of Centroid Displacement based k-Nearest Neighbors -- EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain -- Deterministic Graph-Walking Program Mining -- A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction -- Multi-view Gated Graph Convolutional Network for Aspect-Level Sentiment Classification -- Decentralized Graph Processing for Reachability Queries -- Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. |
| 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 | Database management. |
| 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 | Social sciences |
| General subdivision | Data processing. |
| 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 | Information theory. |
| 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 | Database Management. |
| 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 Application in Social and Behavioral Sciences. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Structures and Information Theory. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chen, Weitong. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yao, Lina. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cai, Taotao. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pan, Shirui. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 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 | 9783031220630 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031220654 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| -- | 2945-9141 ; |
| Volume number/sequential designation | 13725 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-22064-7">https://doi.org/10.1007/978-3-031-22064-7</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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