Advanced Data Mining and Applications (Record no. 96129)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 06929nam a22006375i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-65390-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730200603.0 |
| 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 | 210105s2020 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030653903 |
| -- | 978-3-030-65390-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-65390-3 |
| 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 | 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings / |
| Statement of responsibility, etc. | edited by Xiaochun Yang, Chang-Dong Wang, Md. Saiful Islam, Zheng Zhang. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XV, 670 p. 241 illus., 165 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 | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 12447 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Machine Learning -- Subspace-Weighted Consensus Clustering for High-Dimensional Data -- NOV-RSI: A Novel Optimization Algorithm for Mining Rare Significance Itemsets -- MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points -- Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization -- SS-AOE: Subspace based classification framework for avoiding over-confident errors -- Inuence Maximization based Active Learning in Noisy Setting -- Text Mining -- DGRL: Text Classification with Deep Graph Residual Learning -- Densely Connected Bidirectional LSTM With Max-pooling of CNN Network for Text Classification -- A Context-aware Computing Method of Sentence Similarity Based on Frame Semantics -- Learning the Concept Embeddings of Ontology -- ATextCNN Model: A New Multi-Classification Method for Police Situation -- Hierarchical and Pairwise Document Embedding for Plagiarism Detection -- Graph Mining -- Evolutionary strategy for graph embedding -- D2NE: Deep Dynamic Network Embedding -- Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts -- Tuser3: A profile matching based algorithm across three heterogeneous social networks -- Encrypted Traffic Classification using Graph Convolutional Networks -- Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing -- Research of Medical Aided Diagnosis System Based on Temporal Knowledge Graph -- TOP-R Keyword-Aware Community Search -- Online Community Identification Over Heterogeneous Attributed Directed Graphs -- Predictive Analytics MPB: Multi-Peak Binarization for Pupil Detection -- Rice Leaf Diseases Recognition using Convolutional Neural Networks -- STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction -- Discriminative Features Generation forMortality Prediction in ICU -- Pre-trained StyleGAN based data augmentation for small sample brain CT motion artifacts detection -- Motion Artifacts Detection from Computed Tomography Images -- Loners stand out. Identification of anomalous subsequences based on group performance -- Brain CT Image Augmentation based on PGGAN and FBP for Artifact Detection -- Recursive RNN based Shift Representation Learning for Dynamic User-Item Interaction Prediction -- Computational methods for predicting Autism Spectrum Disorder from gene expression data -- Recommender Systems -- Declarative User-Item Profiling Based Context-Aware Recommendation -- HisRec: Bridging Heterogeneous Information Spaces for Recommendation via Attentive Embedding -- A Neighbor-aware Group Recommendation Algorithm -- Cross Product And Attention Based Deep Neural Collaborative Filtering -- Privacy and Security -- Blockchain-based Privacy PreservingTrust Management Model in VANET -- SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization -- Query Processing -- Optimizing Scoring and Sorting Operations for Faster WAND Processing -- Query-Based Recommendation by HIN Embedding with PRE-LSTM -- Data Mining Applications -- Applications of Big Data in Tourism: A Survey -- High-quality Plane Wave Compounding using Deep Learning for Hand-held Ultrasound Devices -- IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information -- Personal Health Index based on Residential Health Examination -- Decision support system for acupuncture treatment of ischemic stroke -- Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media -- FabricGene: A higher-level feature representation of fabric patterns for nationality classification -- Low-Light Image Enhancement With Color Transfer Based On Local Statistical Feature -- Role-aware Enhanced Matching Network for Multi-Turn Response Selection in Customer Service Chatbots. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020. The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Security; Query Processing; Data Mining Applications. |
| 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) | 163994 |
| 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 | Computer science |
| General subdivision | Mathematics. |
| 9 (RLIN) | 3866 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer science. |
| 9 (RLIN) | 9832 |
| 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) | 163995 |
| 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 | Mathematics of Computing. |
| 9 (RLIN) | 31875 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Theory of Computation. |
| 9 (RLIN) | 163996 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yang, Xiaochun. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 163997 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang, Chang-Dong. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 163998 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Islam, Md. Saiful. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 163999 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Zheng. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 164000 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 164001 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030653897 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030653910 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 12447 |
| 9 (RLIN) | 164002 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-65390-3">https://doi.org/10.1007/978-3-030-65390-3</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
No items available.