yusuke1997/dblp-id-title huggingface dataset:
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques
Scalable Fuzzy Clustering With Anchor Graph
SQL/SDA: A Query Language for Supporting Spatial Data Analysis and Its Web-Based Implementation
Learning Conditional Preference Networks from Inconsistent Examples
Stability Analysis of Regional and National Voting Schemes by a Continuous Model
Extending SQL with General Transitive Closure and Extreme Value Selections
Storage Efficient and Secure Replicated Distribted Databases
Temporal Probabilistic Object Bases
Semi-Supervised Clustering Under a "Compact-Cluster" Assumption
Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection
A Diversified Attention Model for Interpretable Multiple Clusterings
Coordinated Placement and Replacement for Large-Scale Distributed Caches
PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud
A Semantic Network Encoder for Associated Fact Prediction
Towards and Art and Science of Knowledge Engineering
Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation
A Persistent Store for Large Shared Knowledge Bases
An Balanced, and Scalable Graph-Based Multiview Clustering Method
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites"
Inductive Database Relations
Network Change Detection Based on Random Walk in Latent Space
Comparing Relationships in Conceptual Modeling: Mapping to Semantic Classifications
External Sorting: Run Formation Revisited
Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy
Efficient, Self-Contained Handling of Identity in Peer-to-Peer Systems
Enriching Data Imputation under Similarity Rule Constraints
Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units
Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization
Crowdsourcing for Top-K Query Processing over Uncertain Data
On the Effect of Location Uncertainty in Spatial Querying
Supporting Dynamic Interactions among Web-Based Information Sources
Personalized Recommendation Combining User Interest and Social Circle
Task Assignment Framework for Online Car-Hailing Systems With Electric Vehicles
Representing Inference Control by Hypothesis-Based Association
Reliability of Answers to Queries in Relational Databases
Logic-Based Pattern Discovery
Induction of Rules Subject to a Quality Constraint: Probabilistic Inductive Learning
DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis
Linking Heterogeneous Data in the Semantic Web Using Scalable and Domain-Independent Candidate Selection
Parallel Knowledge Processing in SNAP
Transductive Reward Inference on Graph
The Query Clustering Problem: A Set Partitioning Approach
A BP Neural Network Based Recommender Framework With Attention Mechanism
A History Approach of Automatic Relationships Establisment for VLSI Design Database
Efficient Clue-Based Route Search on Road Networks
Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning
Bump Hunting in the Dark: Local Discrepancy Maximization on Graphs
A Logic-Based Transformation System
Mining Discriminative Patterns for Classifying Trajectories on Road Networks
Scalable Filtering of Multiple Generalized-Tree-Pattern Queries over XML Streams
Incremental Implementation Model for Relational Databases with Transaction Time
Query Languages for Sequence Databases: Termination and Complexity
Extending SQL with Generalized Transitive Closure Functionality
k-Anonymity in the Presence of External Databases
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks
Learning Multi-Instance Deep Ranking and Regression Network for Visual House Appraisal
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning
QUINT: Node Embedding Using Network Hashing
Predicting Missing Items in Shopping Carts
Nonmonotonic Reasoning as Prioritized Argumentation
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs
Declarative Representations of Multiagent Systems
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Kernel Discriminant Learning for Ordinal Regression
Coupling Production Systems and Database Systems: A Homogeneous Approach
Using Object Deputy Model to Prepare Data for Data Warehousing
Online Discovery of Gathering Patterns over Trajectories
A Proactive Workflow Model for Healthcare Operation and Management
Differential Relational Calculus for Integrity Maintenance
A Logical Formulation of Probabilistic Spatial Databases
A General Framework for First Story Detection Utilizing Entities and Their Relations
Checkpointing for Optimistic Concurrency Control Methods
Data Categorization Using Decision Trellises
SynchRuler: A Rule-Based Flexible Synchronization Model with Model Checking
Hierarchical Clustering of Time-Series Data Streams
Effective Determination of Mobile Agent Itineraries for Data Aggregation on Sensor Networks
Dictionary: A New Access Method for Query Processing in Object-Oriented Databases
A Semi-NMF-PCA Unified Framework for Data Clustering
Janus: A Hybrid Scalable Multi-Representation Cloud Datastore
A Fuzzy Reasoning Database Question Answering System
An Extended Chi2 Algorithm for Discretization of Real Value Attributes
Multi-Instance Learning With Emerging Novel Class
Smart Contract Vulnerability Detection Based on Automated Feature Extraction and Feature Interaction
GLIP: A Concurrency Control Protocol for Clipping Indexing
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features
Introducing Cuts Into a Top-Down Process for Checking Tree Inclusion
RAGIC: Risk-Aware Generative Framework for Stock Interval Construction
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model
An Attribute-Specific Ranking Method Based on Language Models for Keyword Search over Graphs
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
Open Continual Feature Selection via Granular-Ball Knowledge Transfer
XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding
Discovering Structural Association of Semistructured Data
Database Migration: A New Architecture for Transaction Processing in Broadband Networks
Effective and Efficient Community Search Over Large Directed Graphs
Graph-Driven Federated Data Management
Fuzzy Sets Defined on a Hierarchical Domain
Bipartite Graph Based Multi-View Clustering
Multi-Label Neural Networks with Applications to Functional Genomics and Text Categorization
Automatically Determining the Number of Clusters in Unlabeled Data Sets
Temporal and Spatial Analysis in Early Sepsis Prediction via Causal Disentanglements
Automatic Knowledge Acquisition and Maintenance for Semantic Query Optimization
Generating $k$kk-Hop-Constrained $s$ss-$t$tt Path Graphs
A Model for Evaluation and Administration of Security in Object-Oriented Databases
A Reliable Storage Partition for Permissioned Blockchain
Enumerating Maximum Cliques in Massive Graphs
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
Design and Analysis of an Integrated Checkpointing Recovery Scheme for Distributed Applications
Description and Identification of Distributed Fragments of Recursive Relations
WebCompanion: A Friendly Client-Side Web Prefetching Agent
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations
Association and Content-Based Retrieval
A Probabilistic Approach to String Transformation
Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning
POLAR++: Active One-Shot Personalized Article Recommendation
Pay-As-You-Go Entity Resolution
Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights
Top-Down XML Keyword Query Processing
Decentralized Probabilistic Text Clustering
Mining Interaction Patterns among Brain Regions by Clustering
Open Smart Classroom: Extensible and Scalable Learning System in Smart Space Using Web Service Technology
Pattern Discovery of Fuzzy Time Series for Financial Prediction
Electronic "How Things Work" Articles: Two Early Prototypes
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems
SSE: Semantically Smooth Embedding for Knowledge Graphs
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting
Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
Adaptive Join Operators for Result Rate Optimization on Streaming Inputs
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
Event Tracking for Real-Time Unaware Sensitivity Analysis (EventTracker)
GridVideo: A Practical Example of Nonscientific Application on the Grid
Selective Imputation for Multivariate Time Series Datasets With Missing Values
Answering Why-Questions for Subgraph Queries
A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System
Fine-Grained Urban Flow Inference
Bounded Disorder File Organization
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis
On Optimally Partitioning Variable-Byte Codes
Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets
Learning Distilled Graph for Large-Scale Social Network Data Clustering
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction
A Nonblocking Transaction Data Flow Graph Based Protocol For Replicated Databases
The Science of Making ERORS: What Error Tolerance Implies for Capacity in Neural Networks
Block-Diagonal Guided DBSCAN Clustering
Failure Detection in Large-Scale Internet Services by Principal Subspace Mapping
Data Cube Materialization and Mining over MapReduce
Guest Editor's Introduction to Special Section on Knowledge Engineering and Software Engineering
An Overlay Subscription Network for Live Internet TV Broadcast
Query Rewriting for SWIFT (First) Answers
Parallel Core Maintenance of Dynamic Graphs
Converting a Fuzzy Data Model to an Object-Oriented Design for Managing GIS Data Files
A Supermodularity-Based Differential Privacy Preserving Algorithm for Data Anonymization
Fast Elastic Peak Detection for Mass Spectrometry Data Mining
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings
Robust Label and Feature Space Co-Learning for Multi-Label Classification
One Size Does Not Fit All: Toward User- and Query-Dependent Ranking for Web Databases
Neuro-Ins: A Learning-Based One-Shot Node Insertion for Dynamic Routing Problems
Efficient Parallel Processing of Distance Join Queries Over Distributed Graphs
Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading
Volume Leases for Consistency in Large-Scale Systems
Fuzzy Database Query Languages and Their Relational Completeness Theorem
A New Pattern Representation Method for Time-Series Data
Economics-Driven Data Management: An Application to the Design of Tabular Data Sets
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Adaptive Clustering for Multiple Evolving Streams
Anti-Money Laundering by Group-Aware Deep Graph Learning
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction
Making the Knowledge Base System More Efficient: A Method to Detect Inconsistent Queries
λ-Diverse Nearest Neighbors Browsing for Multidimensional Data
Bayesian Networks for Knowledge-Based Authentication
A Method of Learning Implication Networks from Empirical Data: Algorithm and Monte-Carlo Simulation-Based Validation
Closing the Loop in Webpage Understanding
Voronoi Cell-Based Clustering Using a Kernel Support
Supervised Taxonomies - Algorithms and Applications
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining
Classification and Compilation of Linear Recursive Queries in Deductive Databases
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation
Self-Healing Event Logs
Efficient Range and kNN Twin Subsequence Search in Time Series
Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement
Index-Based Solutions for Efficient Density Peak Clustering
An NVM SSD-Based High Performance Query Processing Framework for Search Engines
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Diverse Power Iteration Embeddings: Theory and Practice
Learning Structural Node Representations Using Graph Kernels
Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction
Disentangling Geographical Effect for Point-of-Interest Recommendation
Learned Optimizer for Online Approximate Query Processing in Data Exploration
Variational Continuous Label Distribution Learning for Multi-Label Text Classification
Hyperedge Graph Contrastive Learning
Enabling Privacy-Preserving and Efficient Authenticated Graph Queries on Blockchain-Assisted Clouds
HandsOn DB: Managing Data Dependencies Involving Human Actions
Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling
Query Processing in a Mobile Computing Environment: Exploiting the Features of Asymmetry
Kairos: Enabling Prompt Monitoring of Information Diffusion Over Temporal Networks
Directory Reference Patterns in Hierarchical File Systems
Differentially Private Distributed Online Learning
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces
Heterogeneous Graph Propagation Network
Multimodal Entity Linking With Dynamic Modality Selection and Interactive Prompt Learning
Cross-Language Learning from Bots and Users to Detect Vandalism on Wikipedia
CSCAD: Correlation Structure-Based Collective Anomaly Detection in Complex System
Managing Deadline Miss Ratio and Sensor Data Freshness in Real-Time Databases
Enhancing Disjunctive Datalog by Constraints
Multiview Semi-Supervised Learning Model for Image Classification
Virtual Denormalization via Array Index Reference for Main Memory OLAP
The Expressive Power of Graph Neural Networks: A Survey
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions
Optimizing Top-k Selection Queries over Multimedia Repositories
Hierarchical Context Representation and Self-Adaptive Thresholding for Multivariate Anomaly Detection
Hypergraph Representation for Detecting 3D Objects From Noisy Point Clouds
Differentially Private Data Publishing and Analysis: A Survey
Discrete Robust Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval
Let the Information Fly: Reconstructing Social Network After a Node Deleted
A Myopic Approach to OrderingNodes for Parameter Elicitationin Bayesian Belief Networks
Towards Optimal Connectivity on Multi-Layered Networks
Propagation of Data Fusion
IMS: Incremental Max-P Regionalization With Statistical Constraints
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity
A Similarity-Based Framework for Classification Task
Combining Feature Reduction and Case Selection in Building CBR Classifiers
ROMIR: Robust Multi-View Image Re-Ranking
Outlier Mining in Large High-Dimensional Data Sets
Nationwide Behavior-Aware Coordinates Mining From Uncertain Delivery Events
Towards Hierarchical Intent Disentanglement for Bundle Recommendation
Efficient Similarity Join over Multiple Stream Time Series
Semi-Supervised Local Community Detection
Scaling Up Synchronization-Inspired Partitioning Clustering
Similarity Searching in Medical Image Databases
Sync Classes: A Framework for Optimal Scheduling of Requests in Multimedia Storage Servers
A Location-Query-Browse Graph for Contextual Recommendation
Querying Distributed Spatial Datasets with Unknown Regions
QA-Pagelet: Data Preparation Techniques for Large-Scale Data Analysis of the Deep Web
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications
Feature Selection With Discernibility and Independence Criteria
The Effect of Index Partitioning Schemes on the Performance of Distributed Query Processing
Semantic Modeling and Knowledge Representation in Multimedia Databases
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space
Correction to 'Automating Statistics Management for Query Optimizers'
Top-K Representative Search for Comparative Tree Summarization
Mining Health Examination Records - A Graph-Based Approach
Approaches to Multisensor Data Fusion in Target Tracking: A Survey
Nonmonotonic Logic Programming
Semi-Supervised Graph Based Embedding With Non-Convex Sparse Coding Techniques
Directed Acyclic Graph Learning on Attributed Heterogeneous Network
Towards More General Loss and Setting in Unsupervised Domain Adaptation
Learning Adaptive Embedding Considering Incremental Class
Adaptive Subspace Symbolization for Content-Based Video Detection
Relational-Linear Quadtree Approach for Two-Dimensional Spatial Representation and Manipulation
GoGraph: Accelerating Graph Processing Through Incremental Reordering
Towards Effective Bug Triage with Software Data Reduction Techniques
Applications of Differential Privacy in Social Network Analysis: A Survey
Efficient Neural Network-Based Estimation of Interval Shapley Values
pSCAN: Fast and Exact Structural Graph Clustering
IPSS: A Hybrid Approach to Planning and Scheduling Integration
A Lightweight Algorithm for Message Type Extraction in System Application Logs
One-Pass Online Learning Under Feature Evolution Data Streams With a Fast Rate
Artificial Intelligence and Financial Services
Discovering Temporal Change Patterns in the Presence of Taxonomies
Reliability-Driven Local Community Search in Dynamic Networks
A Fast Local Balanced Label Diffusion Algorithm for Community Detection in Social Networks
Searching Personalized $k$k-Wing in Bipartite Graphs
Adaptive Ensemble Clustering With Boosting BLS-Based Autoencoder
Progressive Parametric Query Optimization
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network
A Generic Multilevel Architecture for Time Series Prediction
Entity Translation Mining from Comparable Corpora: Combining Graph Mapping with Corpus Latent Features
AdaBoost-Stacking Based on Incremental Broad Learning System
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
epsilon-SSVR: A Smooth Support Vector Machine for epsilon-Insensitive Regression
Guest Editor's Introduction: Cloud Data Management
A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks
IDD: A Supervised Interval Distance-Based Method for Discretization
Systems for Knowledge Discovery in Databases
Continuous Monitoring of Distance-Based Range Queries
k-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data
Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks
The Efficacy of Commutativity-Based Semantic Locking in a Real-World Application
Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm
On Efficiently Answering Why-Not Range-Based Skyline Queries in Road Networks
Component-Based Feature Saliency for Clustering
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting
Using Constraints for Efficient Query Processing in Nondeterministic Databases
Optimal Secondary Storage Access Sequence for Performing Relational Join
Determining $(k)$-Most Demanding Products with Maximum Expected Number of Total Customers
Boosting GNN-Based Link Prediction via PU-AUC Optimization
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity
Multiview Partitioning via Tensor Methods
Optimizing Index Allocation for Sequential Data Broadcasting in Wireless Mobile Computing
Microblog Dimensionality Reduction - A Deep Learning Approach
Multiscale Local Community Detection in Social Networks
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph
NeuralLoss: A Learnable Pretrained Surrogate Loss for Learning to Rank
A New Dependency and Correlation Analysis for Features
Adaptive Cost-Sensitive Online Classification
Progressive Duplicate Detection
Efficient Index-Based Approaches for Skyline Queries in Location-Based Applications
Quantifying Political Leaning from Tweets, Retweets, and Retweeters
Discovering Cliques in Attribute Graphs Based on Proportional Fairness
Correction to 'MPGS: An Interactive Tool for the Specification and Generation of Multimedia Presentations'
Network Engineering for Agile Belief Network Models
Resampling-Based Ensemble Methods for Online Class Imbalance Learning
Knowledge-Based Approaches to Scheduling Problems: A Survey
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Tradeoff Options for Bipartite Graph Partitioning
A Discretization Algorithm Based on a Heterogeneity Criterion
Jointly Learning Topics in Sentence Embedding for Document Summarization
A Pipeline N-way Join Algorithm Based on the 2-way Semijoin Program
Range Nearest-Neighbor Query
Finding Optimal Skyline Product Combinations under Price Promotion
Cluster-Driven Navigation of the Query Space
Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling
Probabilistic Word Selection via Topic Modeling
Programming with Logical Queries, Bulk Updates, and Hypothetical Reasoning
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection
A Flexible Diffusion Convolution for Graph Neural Networks
Analysis of Replication in Distributed Database Systems
Efficient Metric Indexing for Similarity Search and Similarity Joins
Dual Variational Graph Reconstruction Learning for Social Recommendation
Label-Aware Causal Feature Selection
Generalized k-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification
Rule-Based Entity Resolution on Database with Hidden Temporal Information
How to Bridge the Gap Between Modalities: Survey on Multimodal Large Language Model
Automated Feature Selection: A Reinforcement Learning Perspective
Minimally Supervised Novel Relation Extraction Using a Latent Relational Mapping
Discovering Predictable Latent Factors for Time Series Forecasting
Detecting Pickpocket Suspects from Large-Scale Public Transit Records
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method
Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach
A Graph Derivation Based Approach for Measuring and Comparing Structural Semantics of Ontologies
Scalable Content-Aware Collaborative Filtering for Location Recommendation
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis
Projective Clustering by Histograms
Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach
TSCAN: A Content Anatomy Approach to Temporal Topic Summarization
Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization
Fast and Memory Efficient Mining of Frequent Closed Itemsets
Efficient Algorithms for Mining Top-K High Utility Itemsets
Effective and Efficient Shape-Based Pattern Detection over Streaming Time Series
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search