<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>07289nam a22006735i 4500</leader>
  <controlfield tag="001">978-981-97-7235-3</controlfield>
  <controlfield tag="003">DE-He213</controlfield>
  <controlfield tag="005">20251030112917.0</controlfield>
  <controlfield tag="007">cr nn 008mamaa</controlfield>
  <controlfield tag="008">240828s2024    si |    s    |||| 0|eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9789819772353</subfield>
    <subfield code="9">978-981-97-7235-3</subfield>
  </datafield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="a">10.1007/978-981-97-7235-3</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
    <subfield code="a">QA76.9.B45</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UN</subfield>
    <subfield code="2">bicssc</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">COM021000</subfield>
    <subfield code="2">bisacsh</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UN</subfield>
    <subfield code="2">thema</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Web and Big Data</subfield>
    <subfield code="h">[electronic resource] :</subfield>
    <subfield code="b">8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 &#x2013; September 1, 2024, Proceedings, Part II /</subfield>
    <subfield code="c">edited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo.</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">1st ed. 2024.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Singapore :</subfield>
    <subfield code="b">Springer Nature Singapore :</subfield>
    <subfield code="b">Imprint: Springer,</subfield>
    <subfield code="c">2024.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">XVIII, 500 p. 162 illus., 139 illus. in color.</subfield>
    <subfield code="b">online resource.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
    <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="a">computer</subfield>
    <subfield code="b">c</subfield>
    <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="a">online resource</subfield>
    <subfield code="b">cr</subfield>
    <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="a">text file</subfield>
    <subfield code="b">PDF</subfield>
    <subfield code="2">rda</subfield>
  </datafield>
  <datafield tag="490" ind1="1" ind2=" ">
    <subfield code="a">Lecture Notes in Computer Science,</subfield>
    <subfield code="x">1611-3349 ;</subfield>
    <subfield code="v">14962</subfield>
  </datafield>
  <datafield tag="505" ind1="0" ind2=" ">
    <subfield code="a"> -- Recommender System.  -- Hierarchical Review-based Recommendation with Contrastive Collaboration.  -- Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation.  -- Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation.  -- Contrastive Generator Generative Adversarial Networks for Sequential Recommendation.  -- Distribution-aware Diversification for Personalized Re-ranking in Recommendation.  -- KMIC: A Knowledge-aware Recommendation with Multivariate Intentions Contrastive Learning.  -- Logic Preference Fusion Reasoning on Recommendation.  -- MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-aware Recommendation.  -- Mixed Augmentation Contrastive Learning for Graph Recommendation System.  -- Noise-Resistant Graph Neural Networks for Session-based Recommendation.  -- S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommendation Model Incorporating Deep Latent Features of Network Structure.  -- Self-Filtering Residual Attention Network based on Multipair Information Fusion for Session-Based Recommendations.  -- TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.  -- VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation.  -- Knowledge Graph.  -- Matching Tabular Data to Knowledge Graph based on Multi-level Scoring Filters for Table Entity Disambiguation.  -- Complex Knowledge Base Question Answering via Structure and Content Dual-driven Method.  -- EvoREG: Evolutional Modeling with Relation-Entity Dual-Guidance for Temporal Knowledge Graph Reasoning.  -- Federated Knowledge Graph Embedding Unlearning via Diffusion Model.  -- Functional Knowledge Graph Towards Knowledge Application and Data Management for General Users.  -- Hospital Outpatient Guidance System Based On Knowledge Graph.  -- TOP: Taxi Destination Prediction Based on Trajectory Knowledge Graph.  -- Type-based Neighborhood Aggregation for Knowledge Graph Alignment.  -- An Aggregation Procedure Enhanced Mechanism for GCN-based Knowledge Graph Completion Model by Leveraging Condensed Sampling and Attention Optimization.  -- Spatial and Temporal Data.  -- Capturing Fine and Coarse Grained User Preferences with Dual-Transformer for Next POI Recommendation.  -- Enhancing Spatio-Temporal Semantics with Contrastive Learning for Next POI Recommendation.  -- Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast.  -- Meeting Pattern Detection from Trajectories in Road Network.  -- Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation.  -- ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning.  -- A Context-aware Distance Analysis Approach for Time Series.  -- Dual-view Stack State Learning Network for Attribute-based Container Location Assignment.  -- Efficient Coverage Query over Transition Trajectories.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30&#x2013;September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Big data.</subfield>
    <subfield code="9">57216</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Data structures (Computer science).</subfield>
    <subfield code="9">66708</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Information theory.</subfield>
    <subfield code="9">57783</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Application software.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Image processing</subfield>
    <subfield code="x">Digital techniques.</subfield>
    <subfield code="9">64228</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer vision.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Data mining.</subfield>
    <subfield code="9">6941</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="4">
    <subfield code="a">Big Data.</subfield>
    <subfield code="9">57216</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Data Structures and Information Theory.</subfield>
    <subfield code="9">66709</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer and Information Systems Applications.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Imaging, Vision, Pattern Recognition and Graphics.</subfield>
    <subfield code="9">65550</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Data Mining and Knowledge Discovery.</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Zhang, Wenjie.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0000-0001-6572-2600</subfield>
    <subfield code="1">https://orcid.org/0000-0001-6572-2600</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">83083</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Tung, Anthony.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0000-0002-5125-855X</subfield>
    <subfield code="1">https://orcid.org/0000-0002-5125-855X</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">83084</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Zheng, Zhonglong.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0000-0002-5271-9215</subfield>
    <subfield code="1">https://orcid.org/0000-0002-5271-9215</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">83085</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Yang, Zhengyi.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0000-0003-1772-6863</subfield>
    <subfield code="1">https://orcid.org/0000-0003-1772-6863</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">67040</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Wang, Xiaoyang.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0000-0003-3554-3219</subfield>
    <subfield code="1">https://orcid.org/0000-0003-3554-3219</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">83086</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Guo, Hongjie.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0009-0004-8366-6998</subfield>
    <subfield code="1">https://orcid.org/0009-0004-8366-6998</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">83087</subfield>
  </datafield>
  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="a">SpringerLink (Online service)</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
    <subfield code="t">Springer Nature eBook</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9789819772346</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9789819772360</subfield>
  </datafield>
  <datafield tag="830" ind1=" " ind2="0">
    <subfield code="a">Lecture Notes in Computer Science,</subfield>
    <subfield code="x">1611-3349 ;</subfield>
    <subfield code="v">14962</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
    <subfield code="u">https://doi.org/10.1007/978-981-97-7235-3</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SCS</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SXCS</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-LNC</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">62817</subfield>
    <subfield code="d">62817</subfield>
  </datafield>
</record>
