yusuke1997/dblp-id-title huggingface dataset:
Continuous-Time User Preference Modelling for Temporal Sets Prediction
Active Integrity Constraints for Database Consistency Maintenance
Frequent Item Computation on a Chip
Efficient Detection of Soft Concatenation Mapping
Managing Metaverse Data Tsunami: Actionable Insights
SociaLite: An Efficient Graph Query Language Based on Datalog
Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification
Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation
Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria
Simplified Graph Contrastive Learning Model Without Augmentation
The Optimality of Allocation Methods for Bounded Disagreement Search Queries: The Possible and the Impossible
Towards Confidence Interval Estimation in Truth Discovery
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks
Probabilistic Range Query over Uncertain Moving Objects in Constrained Two-Dimensional Space
Periodic Communities Mining in Temporal Networks: Concepts and Algorithms
Time-Constrained Query Processing in CASE-DB
Sequence Pattern Mining with Variables
Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval
WVTDB - A Semantic Content-Based Video Database System on the World Wide Web
HKMF-T: Recover From Blackouts in Tagged Time Series With Hankel Matrix Factorization
Ensembles of (α)-Trees for Imbalanced Classification Problems
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Efficient Query Processing in Integrated Multiple Object Databases with Maybe Result Certification
Cyclic Data Distillation Semi-Supervised Learning for Multi-Modal Emotion Recognition
SemQuery: Semantic Clustering and Querying on Heterogeneous Features for Visual Data
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts
On Bandwidth-Efficient Data Broadcast
On Generalizing Collective Spatial Keyword Queries
MAFIA: A Maximal Frequent Itemset Algorithm
A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification
A Formal Framework for Prefetching Based on the Type-Level Access Pattern in Object-Relational DBMSs
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques
Evaluating Refined Queries in Top-k Retrieval Systems
Guest Editors' Introduction - Papers from ICDE 1999
A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems
Adaptive Index Utilization in Memory-Resident Structural Joins
An Optimal Resource Scheduler for Continuous Display of Structured Video Objects
Slot Index Spatial Join
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases
Neural Moderation of ASMR Erotica Content in Social Networks
Boosting Response Aware Model-Based Collaborative Filtering
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Distributionally Robust Learning With Stable Adversarial Training
Guest Editor Introduction: Special Section on Online Analysis and Querying of Continuous Data Streams
A Survey for Federated Learning Evaluations: Goals and Measures
On the Feasibility of Distributed Kernel Regression for Big Data
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks
Adaptively Secure and Fast Processing of Conjunctive Queries Over Encrypted Data
Decoding Chinese User Generated Categories for Fine-Grained Knowledge Harvesting
Frequent Substructure-Based Approaches for Classifying Chemical Compounds
Real-Time Change Point Detection with Application to Smart Home Time Series Data
Optimizing Random Walk Based Statistical Estimation Over Graphs via Bootstrapping
A Scalable Data Chunk Similarity Based Compression Approach for Efficient Big Sensing Data Processing on Cloud
An Efficient and Scalable Algorithm for Clustering XML Documents by Structure
State of the Transactions Editorial
Differentiable and Scalable Generative Adversarial Models for Data Imputation
Sliced Sparse Gradient Induced Multi-View Subspace Clustering via Tensorial Arctangent Rank Minimization
Clustering Data Streams Based on Shared Density between Micro-Clusters
Atomic Broadcast in Asynchronous Crash-Recovery Distributed Systems and Its Use in Quorum-Based Replication
FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates
SLA Definition for Multi-Tenant DBMS and its Impact on Query Optimization
Database Management with Sequence Trees and Tokens
Use of Analytical Performance Models for System Sizing and Resource Allocation in Interactive Video-on-Demand Systems Employing Data Sharing Techniques
Index-Based Intimate-Core Community Search in Large Weighted Graphs
Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams
Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs
Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-Modal Retrieval
Deductive Approximate Reasoning Systems
Dual Attention Graph Convolutional Network for Relation Extraction
Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
Managing Temporal Constraints with Preferences: Representation, Reasoning, and Querying
Distributed Rumor Source Detection via Boosted Federated Learning
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction
Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models
A Methodology to Retrieve Text Documents from Multiple Databases
Ranking Spatial Data by Quality Preferences
Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs
Image Representations and Feature Selection for Multimedia Database Search
Complex SQL Predicates as Quantifiers
Scalability Analysis of Declustering Methods for Multidimensional Range Queries
Efficient Multidimensional Suppression for K-Anonymity
Automatic Fuzzy Ontology Generation for Semantic Web
Re-Revisiting Learning on Hypergraphs: Confidence Interval, Subgradient Method, and Extension to Multiclass
Effective and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing
A Unifying Framework for Mining Approximate Top- \(k\) Binary Patterns
ConPhrase: Enhancing Context-Aware Phrase Mining From Text Corpora
A Deductive Spreadsheet System for End Users
A Threshold-Based Algorithm for Continuous Monitoring of k Nearest Neighbors
A Comparative Study of Implementation Techniques for Query Processing in Multicore Systems
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding
Trust Relationship Prediction in Alibaba E-Commerce Platform
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning
Robust Cross-Platform News Event Detection via Self-Supervised Modality Complementation
Versatile Size-$l$ Object Summariesfor Relational Keyword Search
Auditing Network Embedding: An Edge Influence Based Approach
Cascade of Distributed and Cooperating Firewalls in a Secure Data Network
An Efficient Cost Model for Optimization of Nearest Neighbor Search in Low and Medium Dimensional Spaces
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services
Generalization Ability of Folding Networks
Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns
F$^{2}$2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns
Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems
Learning Hierarchical Review Graph Representations for Recommendation
Efficient Information Flow Maximization in Probabilistic Graphs
Modeling Large-Scale Dynamic Social Networks via Node Embeddings
Continuous Detour Queries in Spatial Networks
Comments on "Knowledge Representation Using Fuzzy Petri Nets"
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization
From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair
Efficient Oblivious Query Processing for Range and kNN Queries
Comments on "A Practical (t, n) Threshold Proxy Signature Scheme Based on the RSA Cryptosystem"
New EIC Editorial
A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset
Authenticated Subgraph Similarity Searchin Outsourced Graph Databases
Survey and Benchmark of Anomaly Detection in Business Processes
A Foreword to Knowledge and Data Engineering
A Content-Based Authorization Model for Digital Libraries
Dynamic Set Similarity Join: An Update Log Based Approach
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge
On the Benefits of Two Dimensional Metric Learning
A Unified Framework for Cross-Domain and Cross-System Recommendations
ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
A Database Perspective on Geospatial Data Modeling
Multi-Modal Knowledge Graph Construction and Application: A Survey
A Learning Approach to SQL Query Results Ranking Using Skyline and Users' Current Navigational Behavior
KnobCF: Uncertainty-Aware Knob Tuning
Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge
A Thin-Plate Spline Calibration Model For Fingerprint Sensor Interoperability
An Implementation of Logical Analysis of Data
Exploring Sequential Probability Tree for Movement-Based Community Discovery
Efficient Notification of Meeting Points for Moving Groups via Independent Safe Regions
Performance Analysis of Affinity Clustering on Transaction Processing Coupling Architecture
Viral Cascade Probability Estimation and Maximization in Diffusion Networks
Learning Heuristics for the Superblock Instruction Scheduling Problem
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP
Domain Adaptation on Graphs by Learning Aligned Graph Bases
Querying Time Series Data Based on Similarity
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search
Compressed Indexes for Fast Search of Semantic Data
Design of an Integrated Information Retrieval/Database Management System
Formalizing an Engineering Approach to Cooperating Knowledge-Based Systems
Guest Editor's Introduction to the Special Issue on Web Technologies
An Interactive Approach to Mining Gene Expression Data
Spatial Databases - Accomplishments and Research Needs
Automatic Discovery of Personal Name Aliases from the Web
Locking Performance in a Shared-Nothing Parallel Database Machine
Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection
A Utility-Optimized Framework for Personalized Private Histogram Estimation
Information Retrieval and Knowledge Discovery Utilizing a BioMedical Patent Semantic Web
Guest Editors' Introduction to Part I of the Special Section on Data and Knowledge Management in Multimedia Systems
Online Bagging and Boosting for Imbalanced Data Streams
A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data
Efficient Computation of G-Skyline Groups
Using Tries to Eliminate Pattern Collisions in Perfect Hashing
Optimizing Sort Order Query Execution in Balanced and Nested Grid Files
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
A Ranking Based Multi-View Method for Positive and Unlabeled Graph Classification
Efficient Shapelet Discovery for Time Series Classification
Bias Correction in a Small Sample from Big Data
Integrating Calendar Dates and Qualitative Temporal Constraints in the Treatment of Periodic Events
Similarity Join and Similarity Self-Join Size Estimation in a Streaming Environment
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
Managing Multidimensional Historical Aggregate Data in Unstructured P2P Networks
Utilizing Page-Level Join Index for Optimization in Parallel Join Execution
Adaptive Self-Paced Deep Clustering with Data Augmentation
Semantic Caching and Query Processing
Cross-Bucket Generalization for Information and Privacy Preservation
Normalization of Duplicate Records from Multiple Sources
Guest Editor's Introduction: The Fourth International Conference on Data Engineering (1988)
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding
A Metapattern-Based Automated Discovery Loop for Integrated Data Mining - Unsupervised Learning of Relational Patterns
Ultra Data-Oriented Parallel Fractional Hot-Deck Imputation With Efficient Linearized Variance Estimation
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis
New Algorithms for Parallelizing Relational Database Joins in the Presence of Data Skew
Top-k Similarity Join in Heterogeneous Information Networks
Incremental Learning Based on Granular Ball Rough Sets for Classification in Dynamic Mixed-Type Decision System
Analyzing In-Memory NoSQL Landscape
P-AutoClass: Scalable Parallel Clustering for Mining Large Data Sets
Who Should Deserve Investment? Attractive Individual and Group Search in Dynamic Information Networks
Learning Social Circles in Ego-Networks Based on Multi-View Network Structure
Efficient Range Query Processing in Peer-to-Peer Systems
Spatio-Temporal Meta Learning for Urban Traffic Prediction
Collaboratively Training Sentiment Classifiers for Multiple Domains
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases
Online Feature Selection with Group Structure Analysis
Event-Participant and Incremental Planning over Event-Based Social Networks
Variational Bandwidth Auto-Encoder for Hybrid Recommender Systems
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets
Access Structures for Angular Similarity Queries
Design and Evaluation of a Generic Software Architecture for On-Demand Video Servers
Propositional Logic Constraint Patterns and Their Use in UML-Based Conceptual Modeling and Analysis
Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables
A Linguistic Z-Number Rule-Based Modeling Framework Considering Knowledge Reliability Based on Evidential Reasoning Rule
Self-Supervised Graph Representation Learning via Topology Transformations
Uncertainty Quantification in Mathematics-Embedded Ontologies Using Stochastic Reduced Order Model
GenPerm: A Unified Method for Detecting Non-Overlapping and Overlapping Communities
Fusing Monotonic Decision Trees
Affect Analysis of Web Forums and Blogs Using Correlation Ensembles
Towards Understanding the Instability of Network Embedding
String Similarity Search: A Hash-Based Approach
Accelerated Continuous Conditional Random Fields For Load Forecasting
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve
Review Selection Using Micro-Reviews
Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling
Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy
Omnivariate Rule Induction Using a Novel Pairwise Statistical Test
Binary Label Learning for Semi-Supervised Feature Selection
Quality Inference Based Task Assignment in Mobile Crowdsensing
Self-Stabilizing Real-Time OPS5 Production Systems
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
Distilled Neural Networks for Efficient Learning to Rank
A New Dynamic Voting Algorithm for Distributed Database Systems
Fusing Monotonic Decision Tree Based on Related Family
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
Specifying Mining Algorithms with Iterative User-Defined Aggregates
Hypergraph Partitioning With Embeddings
Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation
Dual-Channel Multiplex Graph Neural Networks for Recommendation
Possibilistic Data Cleaning
A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning
Principled Graph Matching Algorithms for Integrating Multiple Data Sources
Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution
A Study on Big Knowledge and Its Engineering Issues
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification
A Survey on Network Embedding
Optimal Data Placement on Disks: A Comprehensive Solution for Different Technologies
GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy
Credible Case-Based Inference Using Similarity Profiles
Efficient Core Maintenance in Large Dynamic Graphs
On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure
T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence
Heuristic Approaches for the Quartet Method of Hierarchical Clustering
Semantics of Ranking Queries for Probabilistic Data
Automatic Itinerary Planning for Traveling Services
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications
Fractal-Based Intrinsic Dimension Estimation and Its Application in Dimensionality Reduction
Guest Editors' Introduction: Multimedia Information Systems
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study
Using Incomplete Information for Complete Weight Annotation of Road Networks
GCCAD: Graph Contrastive Coding for Anomaly Detection
Large-Scale Nodes Classification With Deep Aggregation Network
A Self-Organizing Knowledge Representation Scheme for Extensible Heterogenous Information Environment
Synthesizing High-Frequency Rules from Different Data Sources
SNDProb: A Probabilistic Approach for Streaming Novelty Detection
Experimentation with Local Consensus Ontologies with Implications for Automated Service Composition
Cutting Plane Training for Linear Support Vector Machines
Latent Semantics and Anchor Graph Multi-Layer Learning for Multi-View Unsupervised Feature Selection
Introduction to the Special Issue on Database Prototype Systems
On the Signature Tree Construction and Analysis
Large Margin Distribution Learning with Cost Interval and Unlabeled Data
GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries
Ordering and Selecting Production Rules for Constraint Maintenance: Complexity and Heuristic Solution
Online Seizure Prediction Using an Adaptive Learning Approach
Group-Based Skyline for Pareto Optimal Groups
A Visual Information Management System for the Interactive Retrieval of Faces
Guest Editors' Introduction to the Special Issue on Secure Database Systems Technology
ComClus: A Self-Grouping Framework for Multi-Network Clustering
FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering
Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning
A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud
Cluster Kernels: Resource-Aware Kernel Density Estimators over Streaming Data
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training
Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases
Heterogeneous Multivariate Functional Time Series Modeling: A State Space Approach
Correction to "Inference of Regular Expressions for Text Extraction from Examples"
LLM-Driven Causal Discovery via Harmonized Prior
An Algebraic Theory of Object-Oriented Systems
Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases
Role Discovery in Networks
Efficient Processing of Skyline Queries Using MapReduce
Mining Impact-Targeted Activity Patterns in Imbalanced Data
Efficient Distributed Graph Neural Network Training With Source Chunking and Moving Aggregation
A Trusted Subject Architecture for Multilevel Secure Object-Oriented Databases
Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees
A Survey of Text-to-SQL in the Era of LLMs: Where Are We, and Where Are We Going?
Bag Constrained Structure Pattern Mining for Multi-Graph Classification
Linking Fine-Grained Locations in User Comments
Multi-Party High-Dimensional Data Publishing Under Differential Privacy
MINING: Multi-Granularity Network Alignment Based on Contrastive Learning
Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs
An Efficient Verification Approach to Separation of Duty in Attribute-Based Access Control
Human-in-the-Loop Rule Discovery for Micropost Event Detection
An Efficient Fuzzy System for Complex Query Answering on Knowledge Graphs
A MAC Policy Framework for Multilevel Relational Databases
Scaling Up Markov Logic Probabilistic Inference for Social Graphs
Temporal Entity-Relationship Models - A Survey
Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization
Bayesian Classifiers Programmed in SQL
Learning Concept Descriptions with Typed Evolutionary Programming
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks
Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach
Clustering Large Probabilistic Graphs
Signed Network Representation by Preserving Multi-Order Signed Proximity
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems
Influence Analysis in Evolving Networks: A Survey
PartitionChain: A Scalable and Reliable Data Storage Strategy for Permissioned Blockchain
Prototyping Bubba, A Highly Parallel Database System
Automatically Mining Facets for Queries from Their Search Results
Mining Bucket Order-Preserving SubMatrices in Gene Expression Data
The Composite Data Model: A Unified Approach for Combining and Querying Multiple Data Models
Analyzing and Managing Role-Based Access Control Policies
Discovery of Approximate Lexicographical Order Dependencies
Modeling User Demand Evolution for Next-Basket Prediction
Using Optimistic Atomic Broadcast in Transaction Processing Systems
Improving the Reliability of Artificial Intelligence Planning Systems by Analyzing their Failure Recovery
Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise
A Stochastic Programming Approach for Range Query Retrieval Problems
Tracking Influential Individuals in Dynamic Networks
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories
Interoperability in Blockchain: A Survey
Fourier Domain Scoring: A Novel Document Ranking Method
Indexing Spatio-Temporal Trajectories with Efficient Polynomial Approximations
Discovery of Periodic Patterns in Spatiotemporal Sequences
Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction