yusuke1997/dblp-id-title huggingface dataset:
Fast In-Place Verification of Data Dependencies
Elecitation of Knowledge from Multiple Experts Using Network Inference
ProjPert: Projection-Based Perturbation for Label Protection in Split Learning Based Vertical Federated Learning
Automatic Segmentation of Dynamic Network Sequences with Node Labels
Label-Free Multivariate Time Series Anomaly Detection
A Balanced Hierarchical Data Structure for Multidimensional Data with Highly Efficient Dynamic Characteristics
Local-to-Global Deep Clustering on Approximate Uniform Manifold
Performance Analysis of R*-Trees with Arbitrary Node Extents
Route-Saver: Leveraging Route APIs for Accurate and Efficient Query Processing at Location-Based Services
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
On Evaluating the Contribution of Validation for Question Answering
Assessing Box Office Performance Using Movie Scripts: A Kernel-Based Approach
Trajectory Distribution Aware Graph Convolutional Network for Trajectory Prediction Considering Spatio-Temporal Interactions and Scene Information
Automatic Composition Techniques for Video Production
A Survey of Web Information Extraction Systems
Storing and Indexing Spatial Data in P2P Systems
Holistic Top-k Simple Shortest Path Join in Graphs
Composite Bloom Filters for Secure Record Linkage
Enriching the Expressive Power of Security Labels
Rearranging 'indivisible' Blocks for Community Detection
Multilevel Filtering for High-Dimensional Image Data: Why and How
Half-Xor: A Fully-Dynamic Sketch for Estimating the Number of Distinct Values in Big Tables
Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm
Multiclass MTS for Simultaneous Feature Selection and Classification
Effective Scheduling of Detached Rules in Active Databases
RODS: Rarity based Outlier Detection in a Sparse Coding Framework
$kt$-Safety: Graph Release via $k$-Anonymity and $t$-Closeness
Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation
Generating Compact Redundancy-Free XML Documents from Conceptual-Model Hypergraphs
Speeding up External Mergesort
Translation-Based Sequential Recommendation for Complex Users on Sparse Data
Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution
A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions
Unifying Lane-Level Traffic Prediction From a Graph Structural Perspective: Benchmark and Baseline
Benchmarking Data Exchange among Semantic-Web Ontologies
Static Analysis of Logical Languages with Deferred Update Semantics
An Efficient Data Structure for Dynamic Graph on GPUs
Effective and Efficient Lexicographical Order Dependency Discovery
Concept-Level Model Interpretation From the Causal Aspect
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
Top-k Dominating Queries on Skyline Groups
Query-Oriented Data Augmentation for Session Search
A New Uncertainty Measure for Belief Networks with Applications to Optimal Evidential Inferencing
Projective Distribution of XQuery with Updates
Scalable and Parallel Boosting with MapReduce
Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload
Model-Based Method for Projective Clustering
A Cost Model for SPARK SQL
Subgraph Networks With Application to Structural Feature Space Expansion
Performance of a Finite-State Machine Implementation of Iterative Cluster Labeling on Desktop and Mobile Computing Platforms
A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction
Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection
Exploring Application-Level Semantics for Data Compression
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks
KGGen: A Generative Approach for Incipient Knowledge Graph Population
Matching Heterogeneous Events with Patterns
A Study of the Neighborhood Counting Similarity
Feature Subset Selection and Feature Ranking for Multivariate Time Series
Disease Inference from Health-Related Questions via Sparse Deep Learning
A Probabilistic Scheme for Keyword-Based Incremental Query Construction
estMax: Tracing Maximal Frequent Item Sets Instantly over Online Transactional Data Streams
Forecasting the Next Shot Location in Tennis Using Fine-Grained Spatiotemporal Tracking Data
Knowledge Acquisition Method Based on Singular Value Decomposition for Human Motion Analysis
Online Learning for Data Streams With Incomplete Features and Labels
A Unified Framework for Bandit Online Multiclass Prediction
Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model
Cohesive Subgraph Search Using Keywords in Large Networks
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams
ChartNavigator: An Interactive Pattern Identification and Annotation Framework for Charts
PRESTO: Fast and Effective Group Closeness Maximization
Distributed $k$ -Core View Materializationand Maintenance for Large Dynamic Graphs
Constructing Measures of Sparsity
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model
Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates
Using Reconfiguration for Efficient Management of Replicated Data
A Novel Biometric Inspired Robust Security Framework for Medical Images
Missing Value Estimation for Mixed-Attribute Data Sets
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective
Point-of-Interest Recommendation With Global and Local Context
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning
Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies
HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network
Knowledge-Based Interactive Postmining of Association Rules Using Ontologies
Fast Multi-View Clustering via Prototype Graph
Durable Queries over Historical Time Series
Cross-Domain Sentiment Encoding through Stochastic Word Embedding
Personalizing Web Directories with the Aid of Web Usage Data
Graph-Grounded Goal Planning for Conversational Recommendation
Image Content-Based Retrieval Using Chromaticity Moments
Top- \(k\) Approximate Answers to XPath Queries with Negation
One-Pass Wavelet Decompositions of Data Streams
Few-Shot Named Entity Recognition via Meta-Learning
Indexing Evolving Events from Tweet Streams
Maintaining Top-$t$ Cores in Dynamic Graphs
Optimizing Event Pattern Matching Using Business Process Models
Top-k Spatial Joins
PRISMA/DB: A Parallel Main Memory Relational DBMS
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery
Dynamic Ridesharing in Peak Travel Periods
Dynamic Taxonomies: A Model for Large Information Bases
Triangle Topology Enhancement for Multi-View Graph Clustering
A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems
Efficient Local Search with Conflict Minimization: A Case Study of the n-Queens Problem
Hierarchical Feature Selection Based on Label Distribution Learning
Efficient Skyline and Top-k Retrieval in Subspaces
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation
Efficient Fuzzy Type-Ahead Search in XML Data
Exploring Triangle-Free Dense Structures
A Fuzzy Approach to Partitioning Continuous Attributes for Classification
Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean
Finding Materialized Models for Model Reuse
Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation
Online Feature Selection and Its Applications
Distance-Based Detection and Prediction of Outliers
Cryptographic Primitives in Privacy-Preserving Machine Learning: A Survey
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction
Multi-View Consensus Proximity Learning for Clustering
A Computationally Tractable Nonmonotonic Logic
An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels
R-MINI: An Iterative Approach for Generating Minimal Rules from Examples
Trigger Condition Testing and View Maintenance Using Optimized Discrimination Networks
Efficient Process Conformance Checking on the Basis of Uncertain Event-to-Activity Mappings
MSQ-Index: A Succinct Index for Fast Graph Similarity Search
Parallel Trajectory-to-Location Join
Periodicity Detection in Time Series Databases
Unsupervised Statistical Text Simplification
Game-Theoretic Cross Social Media Analytic: How Yelp Ratings Affect Deal Selection on Groupon?
Deep Kernel Network Embedding
A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query
Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach
Quality Control in Crowdsourcing Using Sequential Zero-Determinant Strategies
Social-Enhanced Explainable Recommendation With Knowledge Graph
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization
Multilingual Taxonomic Web Page Categorization Through Ensemble Knowledge Distillation
Incremental Maintenance of the Minimum Bisimulation of Cyclic Graphs
Stream Processing of Shortest Path Query in Dynamic Road Networks
Privacy-Preserving Multi-Keyword Search in Information Networks
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach
SAGoG: Similarity-Aware Graph of Graphs Neural Networks for Multivariate Time Series Classification
Integration of the HL7 Standard in a Multiagent System to Support Personalized Access to e-Health Services
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation
Anchors-Based Incremental Embedding for Growing Knowledge Graphs
An Optimal Algorithm for Finding Champions in Tournament Graphs
Graphusion: Latent Diffusion for Graph Generation
Ensemble Learning from Crowds
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework
Unsupervised Graph Representation Learning Beyond Aggregated View
User-Friendly and Expressive Forward-Secure Attribute-Based Signature With Server-Aided Signature and Outsourced Verification
Popularity Balanced Multi-Task Bundling for Mobile Crowd Sensing
Collaborative Graph Neural Networks for Attributed Network Embedding
Predicting Destinations by a Deep Learning based Approach
Co-Engaged Location Group Search in Location-Based Social Networks
Improving Deep Forest by Screening
Ultra-Scalable Spectral Clustering and Ensemble Clustering
A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective
Online Multi-Task Learning Framework for Ensemble Forecasting
Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures
Using One-Class and Two-Class SVMs for Multiclass Image Annotation
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning
Efficient Similarity Search for Sets over Graphs
Answering Top-$k$ k Graph Similarity Queries in Graph Databases
CollaborEM: A Self-Supervised Entity Matching Framework Using Multi-Features Collaboration
Finding Rare Classes: Active Learning with Generative and Discriminative Models
Supporting Pattern-Preserving Anonymization for Time-Series Data
Deep Metric Learning for K Nearest Neighbor Classification
Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments
PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification
Mining and Reasoning on Workflows
Automated Discovery of Process Models from Event Logs: Review and Benchmark
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams
Advanced Transaction Processing in Multilevel Secure File Stores
Region-Based Foldings in Process Discovery
Arbitration (or How to Merge Knowledge Bases)
Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation
A Survey of Knowledge Enhanced Pre-Trained Language Models
An Efficient Technique for Nearest-Neighbor Query Processing on the SPY-TEC
Design and Performance Evaluation Considerations of a Multimedia Medical Database
Nonparametric Density Estimation Using Copula Transform, Bayesian Sequential Partitioning, and Diffusion-Based Kernel Estimator
Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization
On the Recovery of R-Trees
Constructing Efficient Belief Network Structures With Expert Provided Information
Using Hybrid Knowledge Engineering and Image Processing in Color Virtual Restoration of Ancient Murals
Heterogeneous Graph-Based Multimodal Brain Network Learning
Private and Utility Enhanced Recommendations With Local Differential Privacy and Gaussian Mixture Model
Frequent Closed Sequence Mining without Candidate Maintenance
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning
Probabilistic Keys
Fractal Belief Rényi Divergence With its Applications in Pattern Classification
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules
Efficient Community Search in Edge-Attributed Graphs
Semantic Approximation of Data Stream Joins
Forecasting Association Rules Using Existing Data Sets
Top-kCritical Vertices Query on Shortest Path
Nowhere to H 2 IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification
Security and Privacy Implications on Database Systems in Big Data Era: A Survey
Continuous Subgraph Pattern Search over Certain and Uncertain Graph Streams
Automatic Control of Workflow Processes Using ECA Rules
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark
Entropy-Based Subjective Choice Models
PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs
Sparse Feature Attacks in Adversarial Learning
Smooth Compact Tensor Ring Regression
Incremental Factorization of Big Time Series Data with Blind Factor Approximation
Content-Based Indexing of Multimedia Databases
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks
Prediction of Intra-Urban Human Mobility by Integrating Regional Functions and Trip Intentions
Reverse Nearest Neighbor Search in Metric Spaces
Detect Professional Malicious User With Metric Learning in Recommender Systems
Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers
Dynamic Query Forms for Database Queries
Incremental Learning of Concept Drift from Streaming Imbalanced Data
Input Variable Selection: Mutual Information and Linear Mixing Measures
An Exploratory Study of Database Integration Processes
Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters
Learning Phenotype Structure Using Sequence Model
Bayesian Sparse Topical Coding
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering
A New Dynamic Rule Activation Method for Extended Belief Rule-Based Systems
Dynamic Facet Ordering for Faceted Product Search Engines
Multi-Dimensional Classification via Decomposed Label Encoding
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Learning a Maximum Margin Subspace for Image Retrieval
Deep Learning of Transferable Representation for Scalable Domain Adaptation
Random Sampling for Continuous Streams with Arbitrary Updates
TDN: Triplet Distributor Network for Knowledge Graph Completion
Optimization and Evaluation of Disjunctive Queries
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces
Connectionist Password Quality Tester
Bring Order into the Samples: A Novel Scalable Method for Influence Maximization
Online Billboard Auction With Social Welfare Maximization
User Preference Analysis for Most Frequent Peer/Dominator
CloudRGK: Towards Private Similarity Measurement Between Graphs on the Cloud
Statistical Model Computation with UDFs
Automatic Programming for End Users: The TOAD System
Collaboratively Semantic Alignment and Metric Learning for Cross-Modal Hashing
Querying Uncertain Minimum in Wireless Sensor Networks
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks
ZYX-A Multimedia Document Model for Reuse and Adaptation of Multimedia Content
Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders With Mutual Information Constraints
Consensus and Computing Integration for Processing Transactional Graphs in Consortium Blockchain
Making Online Sketching Hashing Even Faster
Hierarchical Multi-Agent Meta-Reinforcement Learning for Cross-Channel Bidding
Delta Abstractions: A Technique for Managing Database States in Runtime Debugging of Active Database Rules
A Hidden Key User Discovery Model for Guided Public Opinion Based on Behavioral Intentions and Implicit Relationships
DForest: A Minimal Dimensionality-Aware Indexing for High-Dimensional Exact Similarity Search
Faster TKD: Towards Lightweight Decomposition for Large-Scale Tensors With Randomized Block Sampling
Personalized and Diverse Task Composition in Crowdsourcing
A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition
Differentially Private Frequent Itemset Mining via Transaction Splitting
Linearizing Some Recursive Logic Programs
The Impact of Optics on Data and Knowledge Base Systems
Continuous Trajectory Similarity Search for Online Outlier Detection
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series
An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks
Efficient $k$k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches
Social Recommendation With Characterized Regularization
Community Mining from Signed Social Networks
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study
CoDe Modeling of Graph Composition for Data Warehouse Report Visualization
Exact and Approximate Algorithms for the Index Selection Problem in Physical Database Design
Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs
Analysis of Range Queries and Self-Spatial Join Queries on Real Region Datasets Stored Using an R-Tree
Probabilistic Static Load-Balancing of Parallel Mining of Frequent Sequences
SPATM: A Social Period-Aware Topic Model for Personalized Venue Recommendation
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network
Trigger Inheritance and Overriding in an Active Object Database System
TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
IncreSTS: Towards Real-Time Incremental Short Text Summarization on Comment Streams from Social Network Services
A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams
RSkNN: kNN Search on Road Networks by Incorporating Social Influence
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures
A Multi-Objective Explanation Framework for Graph Neural Networks
Clustering Ensemble Based on Fuzzy Matrix Self-Enhancement
Empowering Explainable Artificial Intelligence Through Case-Based Reasoning: A Comprehensive Exploration
Domain Adversarial Active Learning for Domain Generalization Classification
Efficient Iceberg Query Evaluation Using Compressed Bitmap Index
Simple Statistics Are Sometime Too Simple: A Case Study in Social Media Data
Comments on "Extensions to SQL for Historical Databases"
Domain-Specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities
Effectively Indexing the Uncertain Space
TENSILE: A Tensor Granularity Dynamic GPU Memory Scheduling Method Toward Multiple Dynamic Workloads System
Main Memory Database Systems: An Overview
NALSpatial: A Natural Language Interface for Spatial Databases
Optimizing Large Join Queries Using A Graph-Based Approach
MESO: Supporting Online Decision Making in Autonomic Computing Systems
Protecting Location Privacy against Location-Dependent Attacks in Mobile Services
DFL-Net: Disentangled Feature Learning Network for Multi-View Clustering
Deep Cross-Modal Proxy Hashing
Analysis of Data Structures for Admission Control of Advance Reservation Requests
Hybrid Knowledge Bases
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding
Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval
Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making
Sys-TM: A Fast and General Topic Modeling System
Active Learning for Human-in-the-Loop Customs Inspection
Learning Distributed Representations of Concepts Using Linear Relational Embedding
Authenticated Multistep Nearest Neighbor Search
Secure Provenance Transmission for Streaming Data
Information Cascade Popularity Prediction via Probabilistic Diffusion
Completely Lazy Learning
Accelerating Spherical K-Means Clustering for Large-Scale Sparse Document Data
A Transformation-Based Framework for KNN Set Similarity Search
Dynamic Load Balancing in Multicomputer Database Systems Using Partition Tuning
Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache
A Deep Neural Network for Crossing-City POI Recommendations
Label Propagation on K-Partite Graphs with Heterophily
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems
Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs
Optimizing Bloom Filter Settings in Peer-to-Peer Multikeyword Searching
The Infinity Mirror Test for Graph Models
Joint Optimization of Pricing, Dispatching and Repositioning in Ride-Hailing With Multiple Models Interplayed Reinforcement Learning
A VAE-Based User Preference Learning and Transfer Framework for Cross-Domain Recommendation
A Foundation for Conventional and Temporal Query Optimization Addressing Duplicates and Ordering
Consistent Schema Version Removal: An Optimization Technique for Object-Oriented Views
Creating Evolving User Behavior Profiles Automatically
Safe Distribution and Parallel Execution of Data-Centric Workflows over the Publish/Subscribe Abstraction
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction
Scientific Workflow Protocol Discovery from Public Event Logs in Clouds
On the Complexity of View Update Analysis and Its Application to Annotation Propagation
Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The StarCubing Approach
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data
Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints
DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL
Similarity Metrics for SQL Query Clustering
Multi-View Attributed Network Embedding Using Manifold Regularization Preserving Non-Negative Matrix Factorization
Efficient Computation of Range Aggregates against Uncertain Location-Based Queries