yusuke1997/dblp-id-title huggingface dataset:
Obtaining Coteries That Optimize the Availability of Replicated Databases
Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes
An Exact Data Mining Method for Finding Center Strings and All Their Instances
On Similarity Preserving Feature Selection
CDAMA: Concealed Data Aggregation Scheme for Multiple Applications in Wireless Sensor Networks
A General Model for Sequential Pattern Mining with a Progressive Database
$\mathtt {AutoView}$: An Autonomous Materialized View Management System With Encoder-Reducer
The D-Tree: An Index Structure for Planar Point Queries in Location-Based Wireless Services
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs
Knowledge-Based Search in Competitive Domains
Network Embedding With Dual Generation Tasks
Collective Keyword Query on a Spatial Knowledge Base
To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks
Adversarial Deep Learning Models with Multiple Adversaries
Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors
CatGCN: Graph Convolutional Networks With Categorical Node Features
A Non-Two Phase Locking Protocol for Global Concurrency Control in Distributed Heterogeneous Database Systems
On the Spectral Characterization and Scalable Mining of Network Communities
Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs
Exact Knowledge Hiding through Database Extension
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Supervised Multiple Kernel Embedding for Learning Predictive Subspaces
Finding Top k Most Influential Spatial Facilities over Uncertain Objects
Privacy-Preserving Stochastic Gradual Learning
Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors
Abstractive Multi-Document Summarization Based on Semantic Link Network
Histogram-Based Global Load Balancing in Structured Peer-to-Peer Systems
On Coupling Multiple Systems With A Global Buffer
Multicategory Crowdsourcing Accounting for Variable Task Difficulty, Worker Skill, and Worker Intention
AMS: A Declarative Formalism for Hierarchical Representation of Procedural Knowledge
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm
Asking Generalized Queries to Domain Experts to Improve Learning
Joint Network Topology Inference via Structural Fusion Regularization
A Cocktail Approach for Travel Package Recommendation
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data
Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution
Olex: Effective Rule Learning for Text Categorization
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles
Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers
Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency
FEDERAL: A Framework for Distance-Aware Privacy-Preserving Record Linkage
Partially Related Multi-Task Clustering
Representation of Models for Expert Problem Solving in Physics
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification"
Enhancing Knowledge Discovery via Association-Based Evolution of Neural Logic Networks
Practical Algorithms and Lower Bounds for Similarity Search in Massive Graphs
Adversarial Attack on Large Scale Graph
Minimum Recall-Based Loss Function for Imbalanced Time Series Classification
Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis
Adaptive Magnetic-Graph Clustering
ThetaR-String: A Geometry-Based Representation for Efficient and Effective Retrieval of Images by Spatial Similarity
Density-Based Place Clustering Using Geo-Social Network Data
Processing Moving Queries over Moving Objects Using Motion-Adaptive Indexes
Test-Cost Sensitive Classification on Data with Missing Values
Scalable and Sustainable Graph-Based Traffic Prediction With Adaptive Deep Learning
Image Retrieval Using Multiple Evidence Ranking
Discovering Significant Communities on Bipartite Graphs: An Index-Based Approach
Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach
Adaptive Temporal-Frequency Network for Time-Series Forecasting
Redundancy Detection in Semistructured Case Bases
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement
Gray-Scale ALIAS
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach
CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation
Materialization and Its Metaclass Implementation
Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification
SQL-G: Efficient Graph Analytics by SQL
CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering
Symbolic vs. Connectionist Learning: An Experimental Comparison in a Structured Domain
Self-Learning Symmetric Multi-View Probabilistic Clustering
Function Materialization in Object Bases: Design, Realization, and Evaluation
Local Feature Selection for Large-Scale Data Sets With Limited Labels
Pruning and Visualizing Generalized Association Rules in Parallel Coordinates
Unsupervised Multiway Data Analysis: A Literature Survey
Cross-Domain Meta-Learner for Cold-Start Recommendation
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means
Self-Supervised Graph Completion for Incomplete Multi-View Clustering
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification
Training Recommenders Over Large Item Corpus With Importance Sampling
Efficient and Scalable Processing of String Similarity Join
Succinct Representation of Dynamic Networks
Data Management Issues and Trade-Offs in CSCW Systems
Graph Contrastive Learning With Personalized Augmentation
On Consistent Reading of Entire Databases
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Annotating Search Results from Web Databases
Semantic Knowledge-Based Framework to Improve the Situation Awareness of Autonomous Underwater Vehicles
Interpretable Hierarchical Clustering by Constructing an Unsupervised Decision Tree
Adaptively Topological Tensor Network for Multi-View Subspace Clustering
A Practical (t, n) Threshold Proxy Signature Scheme Based on the RSA Cryptosystem
Anonymization of Centralized and Distributed Social Networks by Sequential Clustering
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing
IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing
Spatially Aware Term Selection for Geotagging
BibPro: A Citation Parser Based on Sequence Alignment
Precision-Bounded Access Control Using Sliding-Window Query Views for Privacy-Preserving Data Streams
Personalized Route Recommendation With Neural Network Enhanced Search Algorithm
Efficient Probabilistic Supergraph Search
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations
Building Hypertext Links By Computing Semantic Similarity
Learning Vertex Representations for Bipartite Networks
On Fault Tolerance for Distributed Iterative Dataflow Processing
A Similarity Measure for Comparing XACML Policies
Spectral Anonymization of Data
Dealing with Uncertainty: A Survey of Theories and Practices
Knowledge Representation in Fuzzy Logic
Indexing Techniques for Queries on Nested Objects
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement
On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data
A Survey of Heterogeneous Information Network Analysis
Filling Delivery Time Automatically Based on Couriers' Trajectories
Bipart: Learning Block Structurefor Activity Detection
Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation
Presentation Planning for Distributed VoD Systems
Redistricting Using Constrained Polygonal Clustering
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization
Evolutionary Clustering via Message Passing
Garbage Collection in a Distributed Object-Oriented System
Anonymous, Secure, Traceable, and Efficient Decentralized Digital Forensics
Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks
Querying Multimedia Presentations Based on Content
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
Fast and Secure Distributed Nonnegative Matrix Factorization
Differentially Private Triangle Counting in Large Graphs
Contrastive Incomplete Cross-Modal Hashing
Knowledge Graph Completion by Jointly Learning Structural Features and Soft Logical Rules
DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation
A Performance Study of Robust Load Sharing Strategies for Distributed Heterogeneous Web Server Systems
Real-Time Ambulance Redeployment: A Data-Driven Approach
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection
A Space-and-Time-Efficient Codeing Algorithm for Lattice Computations
PAGE: A Partition Aware Engine for Parallel Graph Computation
Disambiguation of Semantic Relations Using Evidence Aggregation According to a Sense Inventory
GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation
An Online Offline Framework for Anomaly Scoring and Detecting New Traffic in Network Streams
Efficient Prediction of Difficult Keyword Queries over Databases
Reader Comment Digest through Latent Event Facets and News Specificity
Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding
Socio-Spatial Group Queries for Impromptu Activity Planning
Inter-Intra Modality Knowledge Learning and Clustering Noise Alleviation for Unsupervised Visible-Infrared Person Re-Identification
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction
Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach
SandwichSketch: A More Accurate Sketch for Frequent Object Mining in Data Streams
Efficient Storage Techniques for Digital Continuous Multimedia
A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability
Multi-Label Classification With High-Rank and High-Order Label Correlations
ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer
Bridging Domains Using World Wide Knowledge for Transfer Learning
Differentially Private Frequent Sequence Mining
Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis
Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering
Near-Optimal Scheduling for Crowdsourced Transit System With Skip-Stop Tactic
Efficient, Energy Conserving Transaction Processing in Wireless Data Broadcast
Prospective Infectious Disease Outbreak Detection Using Markov Switching Models
SuiteSound: A System for Distributed Collaborative Multimedia
An Evaluation of Model-Based Approaches to Sensor Data Compression
An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation
Responsibility Analysis for Lineages of Conjunctive Queries with Inequalities
Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding
Improving Image Similarity Learning by Adding External Memory
Transductive Multilabel Learning via Label Set Propagation
Locally Consistent Concept Factorization for Document Clustering
Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective
Privacy Protection Against Malicious Adversaries in Distributed Information Sharing Systems
MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis
Graph Self-Supervised Learning: A Survey
Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information
A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification
Starburst Mid-Flight: As the Dust Clears
SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios
NIERT: Accurate Numerical Interpolation Through Unifying Scattered Data Representations Using Transformer Encoder
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors
From Association to Classification: Inference Using Weight of Evidence
Filter-Based Data Partitioning for Training Multiple Classifier Systems
A Novel Density-Based Clustering Framework by Using Level Set Method
Scalable Recommendation with Social Contextual Information
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices
Discovering Structural Errors From Business Process Event Logs
Indexing Valid Time Databases via B + -Trees
Intelligent Critic System for Architectural Design
Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing
An Enhanced Concurrency Control Scheme for Multidimensional Index Structures
PEAK: Privacy-Enhanced Incentive Mechanism for Distributed -Anonymity in LBS
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations
A Comprehensive Survey on Data Augmentation
A Patience-Aware Recommendation Scheme for Shared Accounts on Mobile Devices
Non-Negative Matrix Factorization with Auxiliary Information on Overlapping Groups
Nessy: A Neuro-Symbolic System for Label Noise Reduction
LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols
A One-Phase Algorithm to Detect Distributed Deadlocks in Replicated Databases
Final: Combining First-Order Logic With Natural Logic for Question Answering
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs
Site and Query Scheduling Policies in Multicomputer Database Systems
Using Punctuation Schemes to Characterize Strategies for Querying over Data Streams
Learning Contextual Dependency Network Models for Link-Based Classification
Correction to a Footnote in "Theoretical and Practical Considerations of Uncertainty and Complexity in Automated Knowledge Acquisition"
A Unified Probabilistic Framework for Web Page Scoring Systems
DSP-CC-: I/O Efficient Parallel Computation of Connected Components in Billion-Scale Networks
Attentive Continuous-Time Generative Adversarial Networks for Irregular Time Series Imputation
Finding Interesting Patterns Using User Expectations
Pattern-Wise Transparent Sequential Recommendation
Constrained Truth Discovery
Fast Error-Bounded Distance Distribution Computation
Highly Comparative Feature-Based Time-Series Classification
Polygraph: A Plug-n-Play Framework to Quantify Application Anomalies
Adaptive Information Fusion-Based Concept Drift Learning for Evolving Multiple Data Streams
SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization
Authentication of k Nearest Neighbor Query on Road Networks
RACOG and wRACOG: Two Probabilistic Oversampling Techniques
Estimating the Total Volume of Queries to a Search Engine
Protecting Respondents' Identities in Microdata Release
Anomaly Detection via Online Oversampling Principal Component Analysis
Relational Stock Selection via Probabilistic State Space Learning
MMM: A Unified Weakly-Supervised Anomaly Detection Framework for Multi-Distributional Data
A Generalized $f$f-Divergence With Applications in Pattern Classification
Constructing Suffix Tree for Gigabyte Sequences with Megabyte Memory
DEMOS: Clustering by Pruning a Density-Boosting Cluster Tree of Density Mounts
ASSM: Adaptive Subject-Focused Modeling for Multimodal Summarization via Semantic Matching
Effects of Update Techniques on Main Memory Database System Performance
Revisiting the Effective Number Theory for Imbalanced Learning
Implementation of Rule-Based Information Systems for Integrated Manufacturing
Feature Selection via Discretization
Laplacian Regularized Gaussian Mixture Model for Data Clustering
Rule Revision With Recurrent Neural Networks
The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics
A Unified Framework for Epidemic Prediction based on Poisson Regression
FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling
Extending Recommender Systems for Disjoint User/Item Sets: The Conference Recommendation Problem
A Contrast Metric for Fraud Detection in Rich Graphs
LIOF: Make the Learned Index Learn Faster With Higher Accuracy
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme
The Adaptive Clustering Method for the Long Tail Problem of Recommender Systems
Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains
Multi-Core Processing of XML Twig Patterns
A Framework for Analysis of Data Quality Research
MDARTS: A Multiprocessor Database Architecture for Hard Real-Time Systems
Efficient Service Skyline Computation for Composite Service Selection
Clustering-Based Ensembles as an Alternative to Stacking
Anomalous Window Discovery for Linear Intersecting Paths
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment
VA-Store: A Virtual Approximate Store Approach to Supporting Repetitive Big Data in Genome Sequence Analyses
Semantic and Structural View Fusion Modeling for Social Recommendation
Self-Tuning of the Relationships among Rules' Components in Active Databases Systems
A Normalization Framework for Multimedia Databases
Hierarchical Prediction and Adversarial Learning For Conditional Response Generation
Workload-Based Ordering of Multi-Dimensional Data
R++: Adding Path-Based Rules to C++
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints
Representation Learning From Limited Educational Data With Crowdsourced Labels
k NNVWC: An Efficient k-Nearest Neighbors Approach Based on Various-Widths Clustering
Intertemporal Discount Factors as a Measure of Trustworthiness in Electronic Commerce
ShieldDB: An Encrypted Document Database With Padding Countermeasures
MaxiZone: Maximizing Influence Zone Over Geo-Textual Data
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes
User Action Interpretation for Online Content Optimization
Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks
On Learning of Choice Models with Interactive Attributes
A Fast and More Accurate Seed-and-Extension Density-Based Clustering Algorithm
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation
Efficient Processing of Uncertain Events in Rule-Based Systems
An Effective GPU-Based Approach to Probabilistic Query Confidence Computation
A Unified Framework for Contextual and Factoid Question Generation
Hyperbolic Hypergraph Transformer With Knowledge State Disentanglement for Knowledge Tracing
Ontology Embedding: A Survey of Methods, Applications and Resources
Design and Evaluation of a Scalable and Reliable P2P Assisted Proxy for On-Demand Streaming Media Delivery
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
A Survey on Data Pricing: From Economics to Data Science
Structured Graph-Based Ensemble Clustering
Set Predicates in SQL: Enabling Set-Level Comparisons for Dynamically Formed Groups
Disentangled Graph Neural Networks for Session-Based Recommendation
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction
Selection of Indexes to Memory-Resident Entities for Semantic Data Models
The Presumed-Either Two-Phase Commit Protocol
Graph Regularized Feature Selection with Data Reconstruction
TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services
Statistical Relational Databases: Normal Forms
Multirelational k-Anonymity
#REval: A Semantic Evaluation Framework for Hashtag Recommendation
A Data Mining Algorithm for Generalized Web Prefetching
ProbSky: Efficient Computation of Probabilistic Skyline Queries Over Distributed Data
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach
Combining Join and Semi-Join Operations for Distributed Query Processing
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs
Federation in Cloud Data Management: Challenges and Opportunities
MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection
Direct Spectral Clustering With New Graph Learning for Better Fitting
Adlet: An Active Document Abstraction for Multimedia Information Fusion
Skyline Diagram: Efficient Space Partitioning for Skyline Queries
Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites
Scalable Scheduling of Updates in Streaming Data Warehouses
Speculative Locking Protocols to Improve Performance for Distributed Database System
Attentive Representation Learning With Adversarial Training for Short Text Clustering
Warehouse Creation - A Potential Roadblock to Data Warehousing
Approximate Processing of Massive Continuous Quantile Queries over High-Speed Data Streams
Hyperbolic Neural Collaborative Recommender
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
Disk Scheduling in Video Editing Systems
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms
Efficient Remote Data Possession Checking in Critical Information Infrastructures
Discovering Emerging Topics in Social Streams via Link-Anomaly Detection
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model
Generalized Translation-Based Embedding of Knowledge Graph
Minority Sub-Region Estimation-Based Oversampling for Imbalance Learning
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark
Interactive Data Exploration with Smart Drill-Down
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation
Joint Top-K Spatial Keyword Query Processing
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification
Dynamic Graph Embedding via Meta-Learning
Expert Finding for Question Answering via Graph Regularized Matrix Completion
Near-Optimum Storage Models for Nested Relations Based on Workload Information
I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base
A Survey on Deep Learning for Named Entity Recognition