yusuke1997/dblp-id-title huggingface dataset:
Distribution-Free One-Pass Learning
A Partition Model Approach to Updating Universal Scheme Interfaces
Independently Updated Views
Parallel Contraction Hierarchies Construction on Road Networks
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy
Recommendation Method for Improving Customer Lifetime Value
Efficient Sensitivity Analysis for Inequality Queries in Probabilistic Databases
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles
Dimensionality Reduction and Similarity Computation by Inner-Product Approximations
Visual Exploration of Large Relational Data Sets through 3D Projections and Footprint Splatting
Multi-Site User Behavior Modeling and Its Application in Video Recommendation
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction
Incomplete Multi-View Clustering via Multi-Level Contrastive Learning
Preference Aware Item Cold-Start Recommendation With Hierarchical Item Alignment
Robust Principal Component Analysis Based on Discriminant Information
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction
Duplicate Reduction in Graph Mining: Approaches, Analysis, and Evaluation
Harmonic Mean Linear Discriminant Analysis
Estimating Block Accesses in Database Organizations
Block Access Estimation for Clustered Data
Backward Path Growth for Efficient Mobile Sequential Recommendation
A Derivative Topic Dissemination Model Based on Representation Learning and Topic Relevance
Region Attention Enhanced Unsupervised Cross-Domain Facial Emotion Recognition
Pattern Classification With Corrupted Labeling via Robust Broad Learning System
A Branch Elimination-Based Efficient Algorithm for Large-Scale Multiple Longest Common Subsequence Problem
Temporal Graph Multi-Aspect Embeddings
Dynamically Negotiated Resource Management for Data Intensive Application Suites
Structure Based User Identification across Social Networks
A Generalized Flow-Based Method for Analysis of Implicit Relationships on Wikipedia
Active Learning through Adaptive Heterogeneous Ensembling
Learning From Incomplete and Inaccurate Supervision
Data Lake Organization
Domains and Active Domains: What This Distinction Implies for the Estimation of Projection Sizes in Relational Databases
Data Partition and Parallel Evaluation of Datalog Programs
Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set
A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Signal Pairs
Label Propagation through Linear Neighborhoods
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning
Data Allocation for Multi-Disk Databases
Enhancing the Effectiveness of Clustering with Spectra Analysis
Graph-Based Embedding Smoothing for Sequential Recommendation
Graph-Based Learning via Auto-Grouped Sparse Regularization and Kernelized Extension
Evidence Reasoning and Curriculum Learning for Document-Level Relation Extraction
GraphNAS++: Distributed Architecture Search for Graph Neural Networks
XACML Policy Evaluation with Dynamic Context Handling
Sample-Based Quality Estimation of Query Results in Relational Database Environments
Geometric-Contextual Mutual Infomax Path Aggregation for Relation Reasoning on Knowledge Graph
Secure Mining of Association Rules inHorizontally Distributed Databases
Facilitating Document Annotation Using Content and Querying Value
Efficient Keyword-Aware Representative Travel Route Recommendation
Deriving Protocol Models from Imperfect Service Conversation Logs
Schema Vacuuming in Temporal Databases
Heterogeneous Databases: Proliferation, Issues, and Solutions
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach
A Knowledge-Based Software Life-Cycle Framework for the Incorporation of Multicriteria Analysis in Intelligent User Interfaces
Fuzzy K-Means Clustering With Discriminative Embedding
Visual Role Mining: A Picture Is Worth a Thousand Roles
Optimal Margin Distribution Machine
Learning Bregman Distance Functions for Semi-Supervised Clustering
Computation and Monitoring of Exclusive Closest Pairs
Sparsity Learning Formulations for Mining Time-Varying Data
Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals
Optimizing Multiway Joins in a Map-Reduce Environment
Conceptual Database Evolution Through Learning in Object Databases
The Move-Split-Merge Metric for Time Series
BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering
Aligning Spatially Constrained Graphs
Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies
PrigSim: Towards Privacy-Preserving Graph Similarity Search as a Cloud Service
Trustworthiness Management in the Social Internet of Things
MOSE: A Monotonic Selectivity Estimator Using Learned CDF
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System
Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation
Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference
Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series
Large Join Optimization on a Hypercube Multiprocessor
Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream
Investigating the Applicability of Petri Nets for Rule-Based System Verification
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory
Co-Clustering Ensembles Based on Multiple Relevance Measures
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
Artifact-Based Workflows for Supporting Simulation Studies
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning
System Log Parsing: A Survey
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations
Deletion Propagation Revisited for Multiple Key Preserving Views
Performance Measurement of Main Memory Database Recovery Algorithms Based on Update-in-Place and Shadow Approaches
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation
Malevolent Activity Detection with Hypergraph-Based Models
Selecting Optimal Subset to Release Under Differentially Private M-Estimators from Hybrid Datasets
Constrained Text Coclustering with Supervised and Unsupervised Constraints
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
Online Feature Screening for Data Streams With Concept Drift
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture
Dual Test-Time Training for Out-of-Distribution Recommender System
Complex Knowledge Base Question Answering: A Survey
Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection
Order Structure of Symbolic Assertion Objects
Corrections to "An Efficient Algorithm for Matching Multiple Patterns"
Multicampaign Assignment Problem
Development of a Software Engineering Ontology for Multisite Software Development
When Learned Indexes Meet Persistent Memory: The Analysis and the Optimization
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization
Model Reuse With Reduced Kernel Mean Embedding Specification
Fuzzy Rule Base Systems Verification Using High-Level Petri Nets
We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling
Learning from Imbalanced Data
Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering
A Note on Linear Time Algorithms for Maximum Error Histograms
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation
A Development Environment for an Object Specification Language
When Behavior Analysis Meets Social Network Alignment
Robust Perceptual Image Hashing Based on Ring Partition and NMF
Change Detection in Streaming Multivariate Data Using Likelihood Detectors
A Support-Ordered Trie for Fast Frequent Itemset Discovery
Special Section on the International Conference on Data Engineering 2016
Global Combination and Clustering Based Differential Privacy Mixed Data Publishing
The Interaction Between Schema Matching and Record Matching in Data Integration
Editorial: Revisiting the (Machine) Semantic Web: The Missing Layers for the Human Semantic Web
Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System
Join and Data Redistribution Algorithms for Hypercubes
Multiplex Graph Guided Deep Survival Analysis
Structured Graph Reconstruction for Scalable Clustering
Diffusion Pixelation: A Game Diffusion Model of Rumor & Anti-Rumor Inspired by Image Restoration
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
Efficient Algorithms for Minimizing the Kirchhoff Index via Adding Edges
Incremental Information Extraction Using Relational Databases
Efficient Skyline Frequent-Utility Itemset Mining Algorithm on Massive Data
MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection
Declarative Framework for Specification, Simulation and Analysis of Distributed Applications
Enhancing Time Series Predictors With Generalized Extreme Value Loss
Personalized Prompt for Sequential Recommendation
The LDL System Prototype
Scalable Keyword Search on Large RDF Data
CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on Smartphones
On Distributed Computing Continuum Systems
Surfing the Network for Ranking by Multidamping
A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing
Incremental, Online, and Merge Mining of Partial Periodic Patterns in Time-Series Databases
A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery
Adaptive Reliable Defense Graph for Multi-Channel Robust GCN
Adaptive Data Access in Broadcast-Based Wireless Environments
Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach
Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection
Modelling High-Order Social Relations for Item Recommendation
Adaptive Skeleton Construction for Accurate DAG Learning
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Privacy-Preserving User Profile Matching in Social Networks
ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
Fast Discovery and the Generalization of Strong Jumping Emerging Patterns for Building Compact and Accurate Classifiers
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
Realizing Memory-Optimized Distributed Graph Processing
Evaluation and Design of Online Cooperative Feedback Mechanisms for Reputation Management
Graph Stream Sketch: Summarizing Graph Streams With High Speed and Accuracy
Part-Whole Relationship Categories and Their Application in Object-Oriented Analysis
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability
ISC: An Iterative Social Based Classifier for Adult Account Detection on Twitter
Fine-Grained Semantics Enhanced Contrastive Learning for Graphs
Concept Factorization Based Multiview Clustering for Large-Scale Data
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
Automatic Target Recognition Using a Neocognitron
An Object-Oriented Database System Jasmine: Implementation, Application, and Extension
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions
Suggesting Assess Queries for Interactive Analysis of Multidimensional Data
Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors
Neighbor Distribution Learning for Minority Class Augmentation
Fairness in Graph Mining: A Survey
Discriminative Feature Mining Based on Frequency Information and Metric Learning for Face Forgery Detection
Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance
GNNGO3D: Protein Function Prediction Based on 3D Structure and Functional Hierarchy Learning
Uniform Techniques for Deriving Similarities of Objects and Subschemes in Heterogeneous Databases
Hierarchical Discretized Pursuit Nonlinear Learning Automata with Rapid Convergence and High Accuracy
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets
Online Index Recommendations for High-Dimensional Databases Using Query Workloads
Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback
Anónimos: An LP-Based Approach for Anonymizing Weighted Social Network Graphs
Extending Existing Dependency Theory to Temporal Databases
A Flexible Content Adaptation System Using a Rule-Based Approach
Meta-Blocking: Taking Entity Resolutionto the Next Level
A Relation-Based Search Engine in Semantic Web
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method
On Nonparametric Ordinal Classification with Monotonicity Constraints
Online Mode Switch Algorithms for Maintaining Data Freshness in Dynamic Cyber-Physical Systems
Visual Assessment of Clustering Tendency for Incomplete Data
Efficient Semi-External SCC Computation
Efficient Maintenance of Shortest Distances in Dynamic Graphs
Are Data Sets Like Documents?: Evaluating Similarity-Based Ranked Search over Scientific Data
The Design of Efficient Algorithms for Two-Dimensional Pattern Matching
Learning Causal Representations for Robust Domain Adaptation
NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries
Rel-CNN: Learning Relationship Features in Time Series for Classification
Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure
Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups
Efficient Similarity Join Based on Earth Mover's Distance Using MapReduce
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
Robust Subspace Clustering With Low-Rank Structure Constraint
Ensemble Rough Hypercuboid Approach for Classifying Cancers
RRW - A Robust and Reversible Watermarking Technique for Relational Data
Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction
Automatic Generation of the Domain Module from Electronic Textbooks: Method and Validation
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks
Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance
Maximal Clique Search in Weighted Graphs
New Approach to Requirements Trade-Off Analysis for Complex Systems
Learning Multiple Factors-Aware Diffusion Models in Social Networks
Using Fixed Point Theorems to Model the Binding in Protein-Protein Interactions
Maximal Subspace Coregulated Gene Clustering
A Systematic Approach to Clustering Whole Trajectories of Mobile Objects in Road Networks
Multiprocessor Document Allocation: A Genetic Algorithm Approach
Multi-Task Spatial-Temporal Transformer for Multi-Variable Meteorological Forecasting
Efficient Feature Selection via $\ell _{2, 0}$ℓ2, 0-norm Constrained Sparse Regression
Ontology-Based Service Representation and Selection
Adaptive Consistency Propagation Method for Graph Clustering
Characterizing Performance Limits in Payment Channel Networks
Structured Development of Problem Solving Methods
Hot Topic Extraction Based on Timeline Analysis and Multidimensional Sentence Modeling
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classification
Optimizing Long-Term Efficiency and Fairness in Ride-Hailing Under Budget Constraint via Joint Order Dispatching and Driver Repositioning
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes
LogStore: A Workload-Aware, Adaptable Key-Value Store on Hybrid Storage Systems
Authorization and Revocation in Object-Oriented Databases
Blocking Reduction Strategies in Hierarchical Text Classification
Exact Top-K Queries in Wireless Sensor Networks
Link Weight Prediction Using Supervised Learning Methods and Its Application to Yelp Layered Network
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN)
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity
Robust Joint Feature Weights Learning Framework
Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis
CMiner: Opinion Extraction and Summarization for Chinese Microblogs
Locating Objects in Mobile Computing
Robust Multi-View Clustering With Noisy Correspondence
Exploiting Spatial Indexes for Semijoin-Based Join Processing in Distributed Spatial Databases
Frame-Sliced Signature Files
myOLAP: An Approach to Express and Evaluate OLAP Preferences
Some Effective Techniques for Naive Bayes Text Classification
ContCommRTD: A Distributed Content-Based Misinformation-Aware Community Detection System for Real-Time Disaster Reporting
Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction
A Causal Perspective of Stock Prediction Models
A Formal Characterization of Epsilon Serializability
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data
Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
Measuring the Sky: On Computing Data Cubes via Skylining the Measures
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series
The Post-Game Analysis Framework - Developing Resource Management Strategies for Concurrent Systems
FOCS: Fast Overlapped Community Search
Improving Classifier Performance Using Data with Different Taxonomies
Consistent Online Backup in Transactional File Systems
BestPeer++: A Peer-to-Peer BasedLarge-Scale Data Processing Platform
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation
JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction
Efficient Query Processing for a Subset of Linear Recursive Binary Rules
CStream: Parallel Data Stream Compression on Multicore Edge Devices
Peer-to-Peer in Metric Space and Semantic Space
Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions
HyXAC: Hybrid XML Access Control Integrating View-Based and Query-Rewriting Approaches
The Tiled Bitmap Forensic Analysis Algorithm
Controlling FD and MVD Inferences in Multilevel Relational Database Systems
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes
A Bayesian Inference-Based Framework for RFID Data Cleansing
Densest Periodic Subgraph Mining on Large Temporal Graphs
A Collective Approach to Scholar Name Disambiguation
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning
SEE: A Spatial Exploration Environment Based on a Direct-Manipulation Paradigm
Formal Foundations for Object-Oriented Data Modeling
Modeling Influence Diffusion over Signed Social Networks
A Data-Driven Scale-Adaptive Time-Frequency Convolutional Network for Long Sequence Time-Series Forecasting
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
Skyline Group Queries in Large Road-Social Networks Revisited
Usher: Improving Data Quality with Dynamic Forms
A Review of Judgment Analysis Algorithms for Crowdsourced Opinions
Non-Overlapping Subsequence Matching of Stream Synopses
Towards Automatic Job Description Generation With Capability-Aware Neural Networks
Subspace Similarity Search under L p -Norm
Document Processing for Automatic Knowledge Acquisition
Genie: A Lightweight Serverless Infrastructure for In-Memory Key-Value Caching With Fine-Grained and Prompt Elasticity
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality
A Virtual Ring Method for Building Small-World Structured P2P Overlays
A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join
Detecting a Variety of Long-Term Stealthy User Behaviors on High Speed Links
Hiding Sequential and Spatiotemporal Patterns
Entity Synonyms for Structured Web Search
ScaleG: A Distributed Disk-Based System for Vertex-Centric Graph Processing
Efficient Top-k Retrieval on Massive Data
Optimal Service Pricing for a Cloud Cache
Catching the Trend: A Framework for Clustering Concept-Drifting Categorical Data
Effective Generalized Low-Rank Tensor Contextual Bandits
Online Multi-Label Streaming Feature Selection With Label Correlation
Authenticating Aggregate Queries over Set-Valued Data with Confidentiality
\(m\) -Privacy for Collaborative Data Publishing
Adding Temporal Constraints to XML Schema
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation
Explainable Session-Based Recommendation via Path Reasoning
A Relation-Based Page Rank Algorithm for Semantic Web Search Engines
Chaotic Time Series Prediction Using a Neuro-Fuzzy System with Time-Delay Coordinates
Modeling Noisy Annotated Data with Application to Social Annotation
Predicting Human Mobility via Self-Supervised Disentanglement Learning
Continuous Top-k Dominating Queries
Halite: Fast and Scalable Multiresolution Local-Correlation Clustering
Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation
Range Aggregation With Set Selection
Centroid Ratio for a Pairwise Random Swap Clustering Algorithm
Random Projection Random Discretization Ensembles - Ensembles of Linear Multivariate Decision Trees
Saturn: Range Queries, Load Balancing and Fault Tolerance in DHT Data Systems
Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects
Computing Semantic Similarity of Concepts in Knowledge Graphs
I-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
On-Line Clustering
K-Anonymity for Crowdsourcing Database
Similarity Search for Dynamic Data Streams
An Extended Algebra for Constraint Databases
Automata for the Assessment of Knowledge
Effectively Finding Relevant Web Pages from Linkage Information
A Non-Parametric Algorithm for Discovering Triggering Patterns of Spatio-Temporal Event Types
A Survey of General-Purpose Crowdsourcing Techniques
On the Optimal Robot Routing Problem in Wireless Sensor Networks
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently
Efficient Mining of Association Rules in Distributed Databases
Hiding From Centrality Measures: A Stackelberg Game Perspective
Topic Signature Language Models for Ad hoc Retrieval
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection
Extensions to SQL for Historical Databases
FedEDB: Building a Federated and Encrypted Data Store via Consortium Blockchains