yusuke1997/dblp-id-title huggingface dataset:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification
Multiclass Query Scheduling in Real-Time Database Systems
Efficient Causality-Tracking Timestamping
Evaluation of Recursive Queries with Extended Rules in Deductive Databases
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding
Efficient Algorithms for Large-Scale Temporal Aggregation
Parallel Rule Firing in Production Systems
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
Critics for Knowledge-Based Design Systems
Random Walk on Multiple Networks
Cross-City Multi-Granular Adaptive Transfer Learning for Traffic Flow Prediction
G-Tree: An Efficient and Scalable Index for Spatial Search on Road Networks
From Anticipation to Action: Data Reveal Mobile Shopping Patterns During a Yearly Mega Sale Event in China
An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges
Design and Performance Evaluation of Broadcast Algorithms for Time-Constrained Data Retrieval
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph
RDMN: A Relative Density Measure Based on MST Neighborhood for Clustering Multi-Scale Datasets
Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning
Logic and Computational Complexity for Boolean Information Retrieval
Context-Aware Path Ranking in Road Networks
A Survey of XML Tree Patterns
Theoretical and Practical Considerations of Uncertainty and Complexity in Automated Knowledge Acquisition
Hierarchically Distributed Peer-to-Peer Document Clustering and Cluster Summarization
Learning Object Models from Semistructured Web Documents
Heavy Nodes in a Small Neighborhood: Exact and Peeling Algorithms With Applications
Generalized Gaussian Mechanism for Differential Privacy
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning
Multiscale Representations for Fast Pattern Matching in Stream Time Series
Deep Learning Driven Venue Recommender for Event-Based Social Networks
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks
HOFD: An Outdated Fact Detector for Knowledge Bases
CoRE: A Context-Aware RelationExtraction Method for Relation Completion
K-Ary Tree Hashing for Fast Graph Classification
A Dynamic Manifestation Approach for Providing Universal Access to Digital Library Objects
Fast Multi-View Semi-Supervised Learning With Learned Graph
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture
A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness
Modeling and Computing Probabilistic Skyline on Incomplete Data
Change-Point Detection in a Sequence of Bags-of-Data
Triple Factorization-Based SNLF Representation With Improved Momentum-Incorporated AGD: A Knowledge Transfer Approach
Charging-Aware Task Assignment for Urban Logistics With Electric Vehicles
Caching Support for Skyline Query Processing with Partially Ordered Domains
Caching on the World Wide Web
Efficient Maximum Edge-Weighted Biclique Search on Large Bipartite Graphs
Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs
Goal-Directed Reasoning with ACE-SSM
Bridging Feature Selection and Extraction: Compound Feature Generation
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
An Amortized O(1) Lower Bound for Dynamic Time Warping in Motif Discovery
Reputation Aggregation in Peer-to-Peer Network Using Differential Gossip Algorithm
First-Order Logic Characterization of Program Properties
Harnessing Folksonomies to Produce a Social Classification of Resources
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting
Vertical Federated Density Peaks Clustering Under Nonlinear Mapping
Fast and Accurate Mining the Community Structure: Integrating Center Locating and Membership Optimization
Reliability Maximization in Uncertain Graphs
Label Distribution Learning by Maintaining Label Ranking Relation
Synthesizing Ontology Alignment Methods Using the Max-Sum Algorithm
A Noise-Aware Method With Type Constraint Pattern for Neural Relation Extraction
Adaptive Structuring of Binary Search Trees Using Conditional Rotations
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts
A Knowledge Model For Unifying Deductive and Non-Deductive Heterogeneous Databases
An Experimental Study on Federated Equi-Joins
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization
A General Recommendation Model for Heterogeneous Networks
Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Paywall Policy Learning in Digital News Media
An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks
Adversarial Training Towards Robust Multimedia Recommender System
Population-Based Learning: A Method for Learning from Examples Under Resource Constraints
An Architecture for Survivable Coordination in Large Distributed Systems
Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection
Link Contexts in Classifier-Guided Topical Crawlers
Efficient Evaluation of Multi-Column Selection Predicates in Main-Memory
Modeling and Solving Distributed Configuration Problems: A CSP-Based Approach
Multi-Dimensional Classification with Super-Classes
Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation
Answering Subset Query Over Multi-Attribute Data Streams Using Hyper-USS
EIC Editorial: Introducing the New Editor-in-Chief and Four New Associate Editors
A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data
Evaluating Overfit and Underfit in Models of Network Community Structure
Outsourced Similarity Search on Metric Data Assets
Analysis of Authorization Constraints via Integer Linear Programming
Pushing ML Predictions Into DBMSs
Multi-Passage Machine Reading Comprehension Through Multi-Task Learning and Dual Verification
Model-Free Subsampling Method Based on Uniform Designs
Product Aspect Ranking and Its Applications
Network Alignment With Holistic Embeddings
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity
An Approach of Implementing General Learning Companions for Problem Solving
Finding Antagonistic Communities in Signed Uncertain Graphs
Right-Protected Data Publishing with Provable Distance-Based Mining
Incorporating User's Preference into Attributed Graph Clustering
k-Pleased Querying
Data on Air: Organization and Access
Fast Approximated Multiple Kernel K-Means
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching
An Adaptive Access Method for Broadcast Data under an Error-Prone Mobile Environment
Efficient Algorithms for Rank-Regret Minimization
Decentralized Assignment Reasoning Using Collaborative Local Mediation
Multi-Output Regularized Feature Projection
Close Dominance Graph: An Efficient Framework for Answering Continuous Top- \(k\) Dominating Queries
Hyperbolic Graph Learning for Social Recommendation
Start From Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Detecting Word Substitutions in Text
Evaluation of Range Queries With Predicates on Moving Objects
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning
Searching Dimension Incomplete Databases
Efficient Algorithms for Summarizing Graph Patterns
MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification
From a Timeline Contact Graph to Close Contact Tracing and Infection Diffusion Intervention
Predicting Hot Events in the Early Period through Bayesian Model for Social Networks
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination
Towards Indoor Temporal-Variation Aware Shortest Path Query
Reveal Your Images: Gradient Leakage Attack Against Unbiased Sampling-Based Secure Aggregation
Summary Graph Induced Invariant Learning for Generalizable Graph Learning
Efficient Time-Bound Hierarchical Key Assignment Scheme
A Pure Nash Equilibrium-Based Game Theoretical Method for Data Replication across Multiple Servers
Event Characterization and Prediction Based on Temporal Patterns in Dynamic Data System
GADE+: A Graph-Based Anchor-Enhanced Framework for Targeted Document Detection
Temporal Social Graph Network Hashing for Efficient Recommendation
Progressive Partition Miner: An Efficient Algorithm for Mining General Temporal Association Rules
Determining Semantic Similarity among Entity Classes from Different Ontologies
Data Anonymization With Diversity Constraints
Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint
ThreatInsight: Innovating Early Threat Detection Through Threat-Intelligence-Driven Analysis and Attribution
Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation
Objective-Driven Monitoring for Broadband Networks
An Adaptive Approach to Real-Time Aggregate Monitoring With Differential Privacy
Fast Cosine Similarity Search in Binary Space with Angular Multi-Index Hashing
Intention-Aware Sequential Recommendation With Structured Intent Transition
Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements
Optimized Cartesian K-Means
Representation and Processing of Structures with Binary Sparse Distributed Codes
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation
Learning Online Trends for Interactive Query Auto-Completion
Distributed View Divergence Control of Data Freshness in Replicated Database Systems
Beyond Millisecond Latency k NN Search on Commodity Machine
Probabilistic Topic Models for Learning Terminological Ontologies
Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors
PASS: A Parallel Activity-Search System
Generalized Measure-Biased Sampling and Priority Sampling
Concurrency Control in B-Trees with Batch Updates
Mining Multiple-Level Association Rules in Large Databases
Connectionist Expert System with Adaptive Learning Capability
Peculiarity Oriented Multidatabase Mining
The Cyclic Model Analysis on Sequential Patterns
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining
Mining Group Movement Patterns for Tracking Moving Objects Efficiently
Variable-Length Subsequence Clustering in Time Series
Specifying and Enforcing Application-Level Web Security Policies
Finding the Maximum $k$-Balanced Biclique on Weighted Bipartite Graphs
Relational Collaborative Topic Regression for Recommender Systems
Temporal Synchronization Models for Multimedia Data
Learning Functions Using Randomized Genetic Code-Like Transformations: Probabilistic Properties and Experimentations
Scalable Iterative Classification for Sanitizing Large-Scale Datasets
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification
Efficient Recommendation of Aggregate Data Visualizations
A Survey on Multi-Task Learning
A Tree-Based Data Perturbation Approach for Privacy-Preserving Data Mining
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning
Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification
Alternating Hashing for Expansible Files
DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions
Multi-View Concept Learning for Data Representation
GrubJoin: An Adaptive, Multi-Way, Windowed Stream Join with Time Correlation-Aware CPU Load Shedding
Document Vector Extension for Documents Classification
Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks
Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression
AOBA: Recognizing Object Behavior in Pervasive Urban Management
An Authorization Model for a Distributed Hypertext System
Itemset Trees for Targeted Association Querying
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph
Association Rule Hiding
Hyperlog: A Graph-Based System for Database Browsing, Querying, and Update
A Statistical Model for User Preference
A Knowledge Representation for Constraint Satisfaction Problems
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Analysis and Comparison of Declustering Schemes for Interactive Navigation Queries
Discovery of Context-Specific Ranking Functions for Effective Information Retrieval Using Genetic Programming
MTBR: Multi-Target Boosting for Regression
Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction
Design and Implementation of a Semantic Query Optimizer
COSAC: A Framework for Combinatorial Statistical Analysis on Cloud
Recursive Stratified Sampling: A New Framework for Query Evaluation on Uncertain Graphs
Successive Group Selection for Microaggregation
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection
Pushing Support Constraints Into Association Rules Mining
Model and Algorithm for Efficient Verification of High-Assurance Properties of Real-Time Systems
Adaptive Prefetching and Storage Reorganization In A Log-Structured Storage System
Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement
Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems
Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning
FocusCores of Multilayer Graphs
Cooperative Multiagent Systems: A Personal View of the State of the Art
Manifold Adaptive Experimental Design for Text Categorization
Parallel and Distributed Processing of Rules by Data Reduction
A Data-Driven Sequential Localization Framework for Big Telco Data
Toward Effective and Transferable Detection for Multi-Modal Fake News in the Social Media Stream
Semiring Rank Matrix Factorization
Hierarchical Decision Tree Induction in Distributed Genomic Databases
Online Skyline Analysis with Dynamic Preferences on Nominal Attributes
Result Diversification in Search and Recommendation: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
A New Temporal Pattern Identification Method for Characterization and Prediction of Complex Time Series Events
Deciphering Clusters With a Deterministic Measure of Clustering Tendency
Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding
A New Belief-Based Incomplete Pattern Unsupervised Classification Method
HM: A Column-Oriented MapReduce System on Hybrid Storage
Join of Multiple Data Streams in Sensor Networks
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework
Distributed Density Peaks Clustering Revisited
Fast Reachability Queries Answering Based on $\mathsf{RCN}$RCN Reduction
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning
GossipTrust for Fast Reputation Aggregation in Peer-to-Peer Networks
A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems
Domain-Driven Data Mining: Challenges and Prospects
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering
ASCENT: Active Supervision for Semi-Supervised Learning
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Imitation Learning of Neural Spatio-Temporal Point Processes
A Query Approach for Influence Maximization on Specific Users in Social Networks
Join Index Hierarchy: An Indexing Structure for Efficient Navigation in Object-Oriented Databases
Laplacian Convolutional Representation for Traffic Time Series Imputation
A Survey on Neural Data-to-Text Generation
A Fuzzy-Set-Based Reconstructed Phase Space Method for Idenitification of Temporal Patterns in Complex Time Series
Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA
G-Thinkerq: A General Subgraph Querying System With a Unified Task-Based Programming Model
Implementation of Tabled Evaluation with Delaying in Prolog
Multi-Hop Reasoning Question Generation and Its Application
Aligning Points to Lines: Provable Approximations
Noun Compound Interpretation With Relation Classification and Paraphrasing
Dual-State Personalized Knowledge Tracing With Emotional Incorporation
Transform-Space View: Performing Spatial Join in the Transform Space Using Original-Space Indexes
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction
Transfer across Completely Different Feature Spaces via Spectral Embedding
Graph Pattern Matching: A Join/Semijoin Approach
Object-Based Semantic Real-Time Concurrency Control with Bounded Imprecision
A Novel Enriched Version of Truncated Nuclear Norm Regularization for Matrix Completion of Inexact Observed Data
Improved Consistent Weighted Sampling Revisited
Knowledge Discovery by Inductive Neural Networks
Errata Corrige on "Modeling and Computing Ternary Projective Relations between Regions"
D&A: Resource Optimization in Personalized PageRank Computations Using Multi-Core Machines
An Ensemble Technique for Better Decisions Based on Data Streams and its Application to Data Privacy
Set Reconciliation Using Ternary and Invertible Bloom Filters
AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data
TGformer: A Graph Transformer Framework for Knowledge Graph Embedding
Generating Counterfactual Instances for Explainable Class-Imbalance Learning
Subontology-Based Resource Management for Web-Based e-Learning
A Robust Oversampling Approach for Class Imbalance Problem With Small Disjuncts
Web-Log Mining for Predictive Web Caching
Efficient Privacy-Preserving Spatial Data Query in Cloud Computing
TwiCS: Lightweight Entity Mention Detection in Targeted Twitter Streams
Efficient Maximal Biclique Enumeration on Large Signed Bipartite Graphs
Visible Reverse k-Nearest Neighbor Query Processing in Spatial Databases
Graph Adversarial Immunization for Certifiable Robustness
Multi Global Information Assisted Streaming Session-Based Recommendation System
A Generic Schema Evolution Approach for NoSQL and Relational Databases
Automatic Identification of Informative Sections of Web Pages
Network Caching Strategies for a Shared Data Distribution for a Predefined Service Demand Sequence
Learning Temporal Event Knowledge for Continual Social Event Classification
Balanced Class-Incremental 3D Object Classification and Retrieval
Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles
Graph Substructure Assembling Network With Soft Sequence and Context Attention
Natural Language Grammatical Inference with Recurrent Neural Networks
TAG: Joint Triple-Hierarchical Attention and GCN for Review-Based Social Recommender System
Improving Construction of Conditional Probability Tables for Ranked Nodes in Bayesian Networks
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions
Privacy Characterization and Quantification in Data Publishing
A Unified Framework for User Identification Across Online and Offline Data
DeepAltTrip: Top-K Alternative Itineraries for Trip Recommendation
Towards Lightweight and Automated Representation Learning System for Networks
Metric All-k-Nearest-Neighbor Search
Synchronization-Inspired Partitioning and Hierarchical Clustering
Dismountable Media Management in Tertiary Storage Systems
Uncertain Priors for Graphical Causal Models: A Multi-Objective Optimization Perspective
Patient Health Representation Learning via Correlational Sparse Prior of Medical Features
DAG: A General Model for Privacy-Preserving Data Mining
Constrained Cascade Generalization of Decision Trees
A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks
MC$^{2}$2LS: Towards Efficient Collective Location Selection in Competition
Extracting Kernel Dataset from Big Sensory Data in Wireless Sensor Networks
A High-Dimensional Outlier Detection Approach Based on Local Coulomb Force
Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification
Server Capacity Planning for Web Traffic Workload
Efficient EMD-Based Similarity Search via Batch Pruning and Incremental Computation
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams
Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data
Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires
A Game Theoretic Approach for Simultaneous Compaction and Equipartitioning of Spatial Data Sets
Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach
Efficient PMU Data Compression Using Enhanced Graph Filtering Enabled Principal Component Analysis
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling
Using Predeclaration for Efficient Read-Only Transaction Processing in Wireless Data Broadcast
RTOD: Efficient Outlier Detection With Ray Tracing Cores
Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter
A Lightweight and Scalable e-Transaction Protocol for Three-Tier Systems with Centralized Back-End Database
A Novel Key Point Based MLCS Algorithm for Big Sequences Mining
Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks
Extensions to Query Languages for Graph Traversal Problems
Spell: Online Streaming Parsing of Large Unstructured System Logs
DB-LSH 2.0: Locality-Sensitive Hashing With Query-Based Dynamic Bucketing
Capture, Integration, and Analysis of Digital System Requirements with Conceptual Graphs
A Graph-Based Approach for Discovering Various Types of Association Rules
A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery
CAPER: Context-Aware Personalized Emoji Recommendation
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing
Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Reducing Redundancy in Subspace Clustering
Heterogeneous Latent Topic Discovery for Semantic Text Mining
Influence Spreading Path and Its Application to the Time Constrained Social Influence Maximization Problem and Beyond
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs
Clustering With Outlier Removal
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples
Core Decomposition on Uncertain Graphs Revisited
Authentication of Moving Top-k Spatial Keyword Queries
Incremental Processing of Continual Range Queries over Moving Objects
A Comparative Study of Various Nested Normal Forms
Topological Invariants for Lines
To Meet or Not to Meet: Finding the Shortest Paths in Road Networks
SSD: Self-Supervised Distillation for Heterophilic Graph Representation Learning
Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation
QueRIE: Collaborative Database Exploration
Building toward Capability Specifications of Web Services Based on an Environment Ontology
TFS-ABS: Traceable and Forward-Secure Attribute-Based Signature Scheme With Constant-Size
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks
Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification