the proceedings contain 110 papers. the topics discussed include: improving quality and convergence of genetic query optimizers;a path-based approach for efficient structural join with not-predicates;ITREKS: keyword s...
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ISBN:
(纸本)9783540717027
the proceedings contain 110 papers. the topics discussed include: improving quality and convergence of genetic query optimizers;a path-based approach for efficient structural join with not-predicates;ITREKS: keyword search over relational database by indexing tuple relationship;mining closed frequent free trees in graph databases;mining time-delayed associations from discrete event datasets;a comparative study of ontology based term similarity measures on PubMed document clustering;an adaptive and efficient unsupervised shot clustering algorithm for sports video;correlation-based detection of attribute outliers;an efficient histogram method for outlier detection;privacy preserving data mining of sequential patterns for network traffic data;privacy preserving clustering for multi-party;an efficient implementation for MOLAP basic data structure and its evaluation;and similarity joins of text with incomplete information formats.
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819757787
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755547
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 26 papers. the special focus in this conference is on Big Data Management and Service. the topics include: FAIth: A Fast, Accurate, and Lightweight database-Agnostic Learned Cost Model;fas...
ISBN:
(纸本)9789819609130
the proceedings contain 26 papers. the special focus in this conference is on Big Data Management and Service. the topics include: FAIth: A Fast, Accurate, and Lightweight database-Agnostic Learned Cost Model;fast Approximate Temporal Butterfly Counting on Bipartite Graphs via Edge Sampling;Financial-ICS: Identifying Peer Firms via LongBERT from 10K Reports;establishing a Decentralized Diamond Quality Management System: Advancing Towards Global Standardization;co-estimation of Data Types and their Positional Distribution;Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads;audio-Guided Visual Knowledge Representation;boundary Point Detection Combining Gravity and Outlier Detection Methods;A Meta-learning Approach for Category-Aware Sequential Recommendation on POIs;automatic Post-editing of Speech Recognition System Output Using Large Language Models;comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny Dialogues;effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in Computer Programming Education: A Case Study;generating Achievement Relationship Graph Between Actions for Alternative Solution Recommendation;generating News Headline Containing Specific Person Name;Investigating Evidence in Sentence Similarity Using MASK in BERT;acceleration of Synopsis Construction for Bounded Approximate Query Processing;Query Expansion in Food Review Search with Synonymous Phrase Generation by LLM;Question Answer Summary Generation from Unstructured Texts by Using LLMs;Real Estate Information Exploration in VR with LoD Control by Physical Distance;voices of Asynchronous Learning Students: Revealing Learning Characteristics through Vocabulary Analysis of Notes Tagged in Videos;review Search Interface Based on Search Result Summarization Using Large Language Model;yes-No Flowchart Generation for Interactive Exploration of Personalized Health Improve
the proceedings contain 95 papers. the special focus in this conference is on advanceddatabases and Information Retrieval Aspects. the topics include: Modeling and multidimensional indexing;updatability in federated ...
ISBN:
(纸本)3540425276
the proceedings contain 95 papers. the special focus in this conference is on advanceddatabases and Information Retrieval Aspects. the topics include: Modeling and multidimensional indexing;updatability in federated databasesystems;designing semistructured databases;meaningful change detection on the web;definition and application of metaclasses;a neural network based tool for components search in a distributed object environment;information retrieval by possibilistic reasoning;extracting temporal references to assign document event-time periods;techniques and tools for the temporal analysis of retrieved information;page classification for meta-data extraction from digital collections;a new conceptual graph formalism adapted for multilingual information retrieval purposes;flexible comparison of conceptual graphs;personalizing digital libraries for learners;interface for wordnet enrichment with classification systems;an architecture for database marketing systems;the chinese natural language interface to databases;pattern-based guidelines for coordination engineering;information management for material science applications in a virtual laboratory;a reverse engineering method and tool for environmental databases;a very efficient order preserving scalable distributed data structure;feature selection using association word mining for classification;efficient feature mining in music objects;an information-driven framework for image mining;a rule-based scheme to make personal digests from video program meta data;casting mobile agents to workflow systems;anticipation to enhance flexibility of workflow execution;coordinating interorganizational workflows based on process-views;strategies for semantic caching and information flow control among objects in role-based access control model.
the proceedings contain 23 papers. the special focus in this conference is on database and Expert systemsapplications. the topics include: Semantic Influence Score: Tracing Beautiful Minds through Knowledge Diffusion...
ISBN:
(纸本)9783030871000
the proceedings contain 23 papers. the special focus in this conference is on database and Expert systemsapplications. the topics include: Semantic Influence Score: Tracing Beautiful Minds through Knowledge Diffusion and Derivative Works;robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis;membership-Mappings for Data Representation Learning: Measure theoretic Conceptualization;membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder;data Catalogs: A Systematic Literature Review and Guidelines to Implementation;task-Specific Automation in Deep Learning Processes;approximate Fault Tolerance for Edge Stream Processing;deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends;time Series Pattern Discovery by Deep Learning and Graph Mining;a Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical systems;integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis;SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R;short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles;a Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet;Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study;Privacy Preserving Machine Learning for Malicious URL Detection;remote Attestation of Bare-Metal Microprocessor Software: A Formally Verified Security Monitor;Provenance and Privacy in ProSA: A Guided Interview on Privacy-Aware Provenance;placeholder Constraint Evaluation in Simulation Graphs;Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs;bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study.
Honeypots are tools to help identify attackers' intrusion techniques, patterns and behaviors into IT systems. Among such systems, database management systems (DBMSs) are traditionally targeted software, as they st...
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Withthe new advancements in cloud computing and internet of things (IoT), mobile applications are transforming the healthcare sector offering solutions for both users and researchers. the massive amounts of data gene...
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In recent years, there has been a notable rise in the application of machine learning to cost estimation for query optimization. Central to an effective cost model are the abilities of accuracy, efficiency, lightness,...
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ISBN:
(纸本)9789819609130;9789819609147
In recent years, there has been a notable rise in the application of machine learning to cost estimation for query optimization. Central to an effective cost model are the abilities of accuracy, efficiency, lightness, and generalizability. However, traditional cost models are based on heuristics thus lack of accuracy. On the other hand, the learned cost models frequently struggle to strike a balance between accuracy and efficiency, with many lacking broad applicability. To combat these challenges, we introduce FAIth, a fast, accurate, and database-agnostic learned cost model. FAIth harnesses data from multiple sources to learn cross-database meta-knowledge. It is then effectively refined, leveraging the unique data information from the target database via an Adapter we developed. Proven through various benchmarks, FAIth consistently showcases its prowess in delivering accurate and robust cost estimations.
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