yusuke1997/dblp-id-title huggingface dataset:
APPROXIMATE - A Query Processor that Produces Monotonically Improving Approximate Answers
Cross-Lingual Cross-Modal Retrieval With Noise-Robust Fine-Tuning
Multiple Receding Imputation of Time Series Based on Similar Conditions Screening
Efficient Representative Subset Selection over Sliding Windows
Citation Networks and the Emergence of Knowledge Core
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks
FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning
High-Order Proximity Preserved Embedding for Dynamic Networks
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
A New Approach to Online Generation of Association Rules
Adapting to User Interest Drift for POI Recommendation
Simple Strategies to Encode Tree Automata in Sigmoid Recursive Neural Networks
Rough Cluster Quality Index Based on Decision Theory
Guest Editor's Introduction: The Fifth International Conference on Data Engineering (1989)
A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions
Rule-Based Consistency Enforcement for Knowledge-Based Systems
Meshing Streaming Updates with Persistent Data in an Active Data Warehouse
Learning to Rerank Schema Matches
Efficient Identification of Local Keyword Patterns in Microblogging Platforms
Expediting the Accuracy-Improving Process of SVMs for Class Imbalance Learning
Practical Ensemble Classification Error Bounds for Different Operating Points
Hierarchical Reduced-Space Drift Detection Framework for Multivariate Supervised Data Streams
sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach
K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs
Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression
OMASS: One Memory Access Set Separation
Learning to Recommend With Multiple Cascading Behaviors
Emergent Semantics through Interaction in Image Databases
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter
Multimodal Graph Causal Embedding for Multimedia-Based Recommendation
A Survey of Temporal Knowledge Discovery Paradigms and Methods
The NUMA with Clusters of Processors for Parallel Join
AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction
Guest Editors' Introduction: Special Issue on Mining Biological Data
Coupling Logical Analysis of Data and Shadow Clustering for Partially Defined Positive Boolean Function Reconstruction
Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling
Label Propagation-Based Membership Degree Computation Towards a Computationally Efficient Fuzzy Community Detection Approach
Focal-Test-Based Spatial Decision Tree Learning
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
On Modeling Cost Functions for Object-Oriented Databases
Multi-Level Attention Map Network for Multimodal Sentiment Analysis
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation
Motif-Based Hyponym Relation Extraction from Wikipedia Hyperlinks
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
TourSense: A Framework for Tourist Identification and Analytics Using Transport Data
D 2 2HistoSketch: Discriminative and Dynamic Similarity-Preserving Sketching of Streaming Histograms
Sensor-Based Abnormal Human-Activity Detection
Spatial SQL: A Query and Presentation Language
WATCH: Two-Stage Discrete Cross-Media Hashing
Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches
Mutual Information-Guided GA for Bayesian Network Structure Learning
LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering
Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix
A Guide to the Literature on Learning Probabilistic Networks from Data
Toward Efficient Filter Privacy-Aware Content-Based Pub/Sub Systems
Scalable Transactional Stream Processing on Multicore Processors
A Tree-Structured Index Allocation Method with Replication over Multiple Broadcast Channels in Wireless Environments
Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation
Longer Pick-Up for Less Pay: Towards Discount-Based Mobility Services
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration
An Event Calculus for Event Recognition
Towards Automatic Construction of Diverse, High-Quality Image Datasets
KSQ: Top-(k) Similarity Query on Uncertain Trajectories
A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation
Reducing Web Page Complexity to Facilitate Effective User Navigation
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations
A Graph-Based Framework for Multiparadigmatic Visual Access to Databases
Multitype Features Coselection for Web Document Clustering
FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN)
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer
Mining Projected Clusters in High-Dimensional Spaces
MultiComm: Finding Community Structurein Multi-Dimensional Networks
Divergence Control Algorithms for Epsilon Serializability
Mining Sequential Patterns with Regular Expression Constraints
Mining High Utility Patterns in One Phase without Generating Candidates
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning
Robust Dual Clustering with Adaptive Manifold Regularization
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage
Privacy-Preserving Constrained Domain Generalization Via Gradient Alignment
An Experimental Survey of Missing Data Imputation Algorithms
Dynamic Ensemble Framework for Imbalanced Data Classification
When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing
Optimization of Linear Recursive Queries in SQL
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation
A Hybrid Data Cleaning Framework Using Markov Logic Networks
Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression
A General Theory for Evolving Application Models
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold
Hierarchical Multi-Clue Modelling for POI Popularity Prediction with Heterogeneous Tourist Information
Differential Privacy Configurations in the Real World: A Comparative Analysis
A Compensation-Based Approach for View Maintenance in Distributed Environments
A General Multi-Context Embedding Model for Mining Human Trajectory Data
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering
A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection
Confidence Interval for F 1 Measure of Algorithm Performance Based on Blocked 3× 2 Cross-Validation
Holistic Boolean-Twig Pattern Matching for Efficient XML Query Processing
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
Single-Index Model Tree
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks
Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection
A Lazy Approach to Associative Classification
Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation
Answering Frequent Probabilistic Inference Queries in Databases
Index Selection for Databases: A Hardness Study and a Principled Heuristic Solution
STAVIES: A System for Information Extraction from Unknown Web Data Sources through Automatic Web Wrapper Generation Using Clustering Techniques
Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence
Absorbing Diagonal Algorithm: An Eigensolver of $O\left(n^{2.584963}\log \frac{1}{\varepsilon }\right)$On2.584963log1ɛ Complexity at Accuracy $\varepsilon$ɛ
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types
Modular Synchronization in Distributed, Multiversion Databases: Version Control and Concurrency Control
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection
A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns
A Learned Index for Exact Similarity Search in Metric Spaces
Sparse and Flexible Projections for Unsupervised Feature Selection
Nonlinear Metric Learning with Kernel Density Estimation
Generalized Production Rules as a Basis for Integrating Active and Deductive Databases
Position Matters: Play a Sequential Game to Detect Significant Communities
TaxoFinder: A Graph-Based Approach for Taxonomy Learning
Buffer Queries
Graph Algorithms With Partition Transparency
Scalable Algorithms for Association Mining
Contrastive and Dual Adversarial Representation Learning for Multi-View Clustering
Justification for Inclusion Dependency Normal Form
Vertex Encoding for Edge Nonexistence Determination With SIMD Acceleration
Multi-Resolution Expansion of Analysis in Time-Frequency Domain for Time Series Forecasting
OneSketch: A Generic and Accurate Sketch for Data Streams
Energy- and Latency-Efficient Processing of Full-Text Searches on a Wireless Broadcast Stream
A Unifying Framework for Detecting Outliers and Change Points from Time Series
Dimensionality Reduction for Categorical Data
Customizable Point-of-Interest Queries in Road Networks
Relevance Feature Discovery for Text Mining
RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates
The Iris Architecture and Implementation
Rethink the Linearizability Constraints of Raft for Distributed Systems
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing
Visual Classification by ℓ 1 -Hypergraph Modeling
Gaussian Distribution Based Oversampling for Imbalanced Data Classification
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation
A Robust Linear Regression Feature Selection Method for Data Sets With Unknown Noise
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs
Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation
Protection of Database Security via Collaborative Inference Detection
Graph Representation Learning Based on Cognitive Spreading Activations
Mining Top-k Co-Occurrence Patterns across Multiple Streams
Spatial Index Structures for Modern Storage Devices: A Survey
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets
EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model
Algorithms for Asynchronous Parallel Processing of Object-Oriented Databases
The Indispensability of Dispensable Indexes
Reverse k Nearest Neighbor Search over Trajectories
Authorized Update in Multi-User Homomorphic Encrypted Cloud Database
ASEP: A Secure and Flexible Commit Protocol for MLS Distributed Database Systems
Social-Enhanced Attentive Group Recommendation
An Efficient Indefiniteness Inference Scheme in Indefinite Deductive Databases
Making Digital Artifacts on the Web Verifiable and Reliable
Diversity-Promoting Recommendation With Dual-Objective Optimization and Dual Consideration
A Semi-Supervised Approach to Message Stance Classification
Automatic Structuring of Knowledge Bases by Conceptual Clustering
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data
Evolutionary Markov Dynamics for Network Community Detection
Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion
A Decision-Theoretic Framework for Numerical Attribute Value Reconciliation
BLITZ: A Flexible and Efficient Graph Mining System
Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
The Event Matching Language for Querying Temporal Data
Adversarial Representation Mechanism Learning for Network Embedding
Online Learning of Temporal Association Rule on Dynamic Multivariate Time Series Data
RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky's Ratio Model
BTM: Topic Modeling over Short Texts
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
Description Logics in Data Management
Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue
U-Skyline: A New Skyline Query for Uncertain Databases
Multi-Instance Learning with Discriminative Bag Mapping
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
Effective and Efficient Query Processing for Video Subsequence Identification
Enhanced Privacy Preserving Group Nearest Neighbor Search
A Joinless Approach for Mining Spatial Colocation Patterns
TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning
RDFS(FA): Connecting RDF(S) and OWL DL
Atlas: A Nested Relational Database System for Text Applications
Online Product Quantization
An Integrated Framework for Visualized and Exploratory Pattern Discovery in Mixed Data
Unsupervised Optimized Bipartite Graph Embedding
Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials
Logic-Based Query Optimization for Object Databases
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
Materialization
Unsupervised Ensemble Classification With Sequential and Networked Data
Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space
Incremental and Decremental Max-Flow for Online Semi-Supervised Learning
Main Memory Indexing: The Case for BD-Tree
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets
MSDS: A Novel Framework for Multi-Source Data Selection Based Cross-Network Node Classification
Data-Driven Answer Selection in Community QA Systems
I/O-Efficient Bundled Range Aggregation
On Automated Lesson Construction from Electronic Textbooks
Joint Learning of User Representation With Diffusion Sequence and Network Structure
Acknowledging TKDE's Fine Past and Looking to an Even Better Future
Skia: Scalable and Efficient In-Memory Analytics for Big Spatial-Textual Data
Memory Augmented Deep Generative Models for Forecasting the Next Shot Location in Tennis
Editorial: Results of TKDE's 1995 Readership Survey
Semi-Supervised Entity Alignment via Relation-Based Adaptive Neighborhood Matching
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems
Data Dependencies Extended for Variety and Veracity: A Family Tree
The Influence of Digital Technologies on Knowledge Management in Engineering: A Systematic Literature Review
Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification
Textually Relevant Spatial Skylines
Optimizing Main-Memory Join on Modern Hardware
KDA: A Knowledge-Base Database Assistant with a Query Guiding Facility
Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation
Hierarchy-Aware Adaptive Graph Neural Network
Finding Patterns on Protein Surfaces: Algorithms and Applications to Protein Classification
Boundary-Focused Generative Adversarial Networks for Imbalanced and Multimodal Time Series
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing
Knowledge Representation Using Fuzzy Petri Nets - Revisited
Graph2Region: Efficient Graph Similarity Learning With Structure and Scale Restoration
Local Search for Efficient Causal Effect Estimation
Latent Structured Perceptrons for Large-Scale Learning with Hidden Information
An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage
Rapid Detection of Local Communities in Graph Streams
Active Online Learning for Social Media Analysis to Support Crisis Management
Comparative Relation Generative Model
Interactive Bike Lane Planning Using Sharing Bikes' Trajectories
Kaleidoscope: A Cooperative Menu-Guided Query Interface (SQL Version)
Buffer Analysis for a Data Sharing Environment with Skewed Data Access
Semisupervised Regression with Cotraining-Style Algorithms
EIC Editorial: TKDE Editorial Board Changes
Incremental and General Evaluation of Reverse Nearest Neighbors
Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction
Anonymizing Collections of Tree-Structured Data
Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks
Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering
A Generative Answer Aggregation Model for Sentence-Level Crowdsourcing Tasks
Domain-Adversarial Network Alignment
LOFTune: A Low-Overhead and Flexible Approach for Spark SQL Configuration Tuning
Topic Modeling of Short Texts: A Pseudo-Document View With Word Embedding Enhancement
An Effective and Efficient Exact Match Retrieval Scheme for Symbolic Image Database Systems Based on Spatial Reasoning: A Logarithmic Search Time Approach
A Survey on Time-Series Pre-Trained Models
A Model for Database Allocation Incorporating a Concurrency Control Mechanism
Editorial: Two Named to Editorial of IEEE Transactions on Knowledge and Data Engineering
A Flexible Approach to Finding Representative Pattern Sets
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering
A Survey on Knowledge Graph-Based Recommender Systems
Efficient Aggregation Algorithms for Compressed Data Warehouses
A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs
Pattern-Aided Regression Modeling and Prediction Model Analysis
Automatic Clustering via Outward Statistical Testing on Density Metrics
Two Fully Distributed Concurrency Control Algorithms
Focused Contrastive Loss for Classification With Pre-Trained Language Models
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
Streaming Graph Embeddings via Incremental Neighborhood Sketching
Security of Chien's Efficient Time-Bound Hierarchical Key Assignment Scheme
CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning
Text Clustering with Feature Selection by Using Statistical Data
Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications
Measuring Similarity Based on Link Information: A Comparative Study
SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network
Sharing Metainformation to Guide Cooperative Search Among Heterogeneous Reusable Agents
Efficient Influential Community Search in Large Uncertain Graphs
Challenges in KNN Classification
AIM: Automatic Interaction Machine for Click-Through Rate Prediction
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle
Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm
Performance Analysis of a Concurrent File Reorganization Algorithm for Record Clustering
A Semantic Web-Based Approach to Knowledge Management for Grid Applications
MimoSketch: A Framework for Frequency-Based Mining Tasks on Multiple Nodes With Sketches
The Management of Probabilistic Data
Discovering the Representation Bottleneck of Graph Neural Networks
Inconsistent Multivariate Time Series Forecasting
BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study
The Concentration of Fractional Distances
Energy-Efficient Reverse Skyline Query Processing over Wireless Sensor Networks
Molecular Verification of Rule-Based Systems Based on DNA Computation
Pricing Average Price Advertising Options When Underlying Spot Market Prices Are Discontinuous
Scalable Min-Max Multi-View Spectral Clustering
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering
ProtoUDA: Prototype-Based Unsupervised Adaptation for Cross-Domain Text Recognition
Short Text Topic Learning Using Heterogeneous Information Network
Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis
Tweet Segmentation and Its Application to Named Entity Recognition
Multi-Modal Validation and Domain Interaction Learning for Knowledge-Based Visual Question Answering
Linear Temporal Sequences and Their Interpretation Using Midpoint Relationships
High-Level Programming Abstractions for Distributed Graph Processing
On Efficient Processing of Group and Subsequent Queries for Social Activity Planning
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records
Robust Bidirectional Poly-Matching
Single-Database Private Information Retrieval from Fully Homomorphic Encryption
Transformed Subspace Clustering
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation
Learning Dynamic Conditional Gaussian Graphical Models
Combating the Small Sample Class Imbalance Problem Using Feature Selection
Parsimonious Topic Models with Salient Word Discovery
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
Multi-Dimensional Causality Fairness Learning
A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles
Watermill: An Optimized Fingerprinting System for Databases under Constraints
GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation
Reinforced Similarity Integration in Image-Rich Information Networks
A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity
SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments
Low-Rank Sparse Subspace for Spectral Clustering
The DASDBS Project: Objectives, Experiences, and Future Prospects
App Miscategorization Detection: A Case Study on Google Play
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds
Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability
Correction to 'Integrating Security and Real-Time Requirements Using Covert Channel Capacity'
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
Spatio-Temporal Memory Augmented Multi-Level Attention Network for Traffic Prediction
Online Feature Selection With Varying Feature Spaces
An Efficient Algorithm for Mutual Exclusion Using Queue Migration in Computer Networks
Combining Partitional and Hierarchical Algorithms for Robust and Efficient Data Clustering with Cohesion Self-Merging
Local Suppression and Splitting Techniques for Privacy Preserving Publication of Trajectories
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks
Merging Web Tables for Relation Extraction With Knowledge Graphs
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition
Secure and Practical Time Series Analytics With Mixed Model
Evaluation of Edge Caching/Offloading for Dynamic Content Delivery
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation