yusuke1997/dblp-id-title huggingface dataset:
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification
Identifying Large Structural Balanced Cliques in Signed Graphs
Power-Efficient Access-Point Selection for Indoor Location Estimation
Addressing the Problems of Bayesian Network Classification of Video Using High-Dimensional Features
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study
Editorial: Four Named to Join Editorial Board of IEEE Transactions on Knowledge and Data Engineering
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection
Hyperbolic Graph Contrastive Learning for Collaborative Filtering
Secure Databases: Constraints, Inference Channels, and Monitoring Disclosures
Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture
OVID: Design and Implementation of a Video-Object Database System
XSPath: Navigation on XML Schemas Made Easy
A Dual-Store Structure for Knowledge Graphs
An Empirical Performance Evaluation of Relational Keyword Search Techniques
Clustering with Local Density Peaks-Based Minimum Spanning Tree
Strategic Reasoning Under Trade-Offs Between Action Costs and Advantages
An Approach to Designing Very Fast Approximate String Matching Algorithms
A Prefix-Filter based Method for Spatio-Textual Similarity Join
In-Place Reconstruction of Version Differences
Describing Database Objects in a Concept Language Environment
Order-Sensitive Imputation for Clustered Missing Values
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Toward the Notion of a Knowledge Repository for Financial Risk Management
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization
RankRC: Large-Scale Nonlinear Rare Class Ranking
HEigen: Spectral Analysis for Billion-Scale Graphs
A Cooperative Coevolution Framework for Parallel Learning to Rank
Delay Compensation Protocols for Synchronization of Multimedia Data Streams
Response Time Analysis of EQL Real-Time Rule-Based Systems
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network
Adaptive Preprocessing for Streaming Data
Mining Weighted Association Rules without Preassigned Weights
Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization
Imbalanced Multiple Noisy Labeling
A Similarity Measure for Text Classification and Clustering
Enabling Verifiable and Secure Range Query in Multi-User Setting Under Cloud Environments
Efficient Correlation Search from Graph Databases
i 2 MapReduce: Incremental MapReduce for Mining Evolving Big Data
Exact In-Network Aggregation with Integrity and Confidentiality
Mining Nonambiguous Temporal Patterns for Interval-Based Events
Web-Page Recommendation Based on Web Usage and Domain Knowledge
Learning Adaptive Node Embeddings Across Graphs
Scalable Delivery of Dynamic Content Using a Cooperative Edge Cache Grid
Binary Rule Generation via Hamming Clustering
Toward Private Joins on Outsourced Data
Distributed Semantic Trajectory Similarity Search
A Survey of Multi-View Representation Learning
Evolutionary Bayesian Rose Trees
Queries on Change in an Extended Relational Model
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
Privacy-Preserving Computation of Bayesian Networks on Vertically Partitioned Data
Location Fingerprinting In A Decorrelated Space
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks
On a Pattern-Oriented Model for Intrusion Detection
Learning Idempotent Representation for Subspace Clustering
A Hierarchical Attention Model for Social Contextual Image Recommendation
A Convex Formulation for Fast Semi-Supervised Learning
Knowledge Discovery in Molecular Databases
Verifiable Fuzzy Multi-Keyword Search Over Encrypted Data With Adaptive Security
Graph Representation Learning Beyond Node and Homophily
Scheduling Transactions with Temporal Constraints: Exploiting Data Semantics
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs
RQL: A Recursive Query Language
Avoiding Misconstruals in Database Systems: A Default Logic Approach
Enhancing Access Privacy of Range Retrievals over (𝔹 + )-Trees
Valid Coverage Oriented Item Perspective Recommendation
Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks
Performance Analysis of Three Text-Join Algorithms
The Design and Implementation of the Ariel Active Database Rule System
Disk-Based Management of Interaction Graphs
CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality
Spatiotemporal aggregate computation: a survey
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series
GREASE: Graph Imbalance Reduction by Adding Sets of Edges
ConClass: A Framework for Real-Time Distributed Knowledge-Based Processing
Efficiently Querying Large XML Data Repositories: A Survey
Sample Efficient Offline-to-Online Reinforcement Learning
Finding Patterns in Three-Dimensional Graphs: Algorithms and Applications to Scientific Data Mining
Continuous Clustering of Moving Objects
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network
Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation
OSAM*.KBMS/P: A Parallel, Active, Object-Oriented Knowledge Base Server
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
Fast Activity Detection: Indexing for Temporal Stochastic Automaton-Based Activity Models
Learning From Noisy Labels via Dynamic Loss Thresholding
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
Keyword Proximity Search in XML Trees
Optimal Multi-Meeting-Point Route Search
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction
semQA: SPARQL with Idempotent Disjunction
Improving Stability of Recommender Systems: A Meta-Algorithmic Approach
Tri-Training: Exploiting Unlabeled Data Using Three Classifiers
Preference-Consistent Knowledge Distillation for Recommender System
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering
An Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis
MagicNet: Memory-Aware Graph Interactive Causal Network for Multivariate Stock Price Movement Prediction
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields
A Survey of Utility-Oriented Pattern Mining
On Optimal Rule Discovery
ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption
k-Anonymization with Minimal Loss of Information
Personalized Video Recommendation Using Rich Contents from Videos
The Yin/Yang Web: A Unified Model for XML Syntax and RDF Semantics
Preference and Constraint Factor Model for Event Recommendation
Structure Diversity and Mean Hitting Time for Random Walks on Stochastic Uniform Growth Tree Networks
Privacy-Preserving Deep Learning Based Record Linkage
Y-Graph: A Max-Ascent-Angle Graph for Detecting Clusters
On the Multiple-Query Optimization Problem
Dependent Data Broadcasting for Unordered Queries in a Multiple Channel Mobile Environment
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Pattern Discovery on Australian Medical Claims Data-A Systematic Approach
State of the Art in Parallel Search Techniques for Discrete Optimization Problems
ECStore: Achieving Efficient and Compressible Indexing on Outsourced Encrypted Databases
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
Estimating Multi-Label Expected Accuracy Using Labelset Distributions
Main Memory Oriented Optimization of OO Queries Using Typed Datalog with Foreign Predicates
Deep Graph Anomaly Detection: A Survey and New Perspectives
Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Aggregation of Imprecise and Uncertain Information in Databases
Fog-enabled Event Processing Based on IoT Resource Models
CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning
RexUniNLU: Recursive Method With Explicit Schema Instructor for Universal Natural Language Understanding
An Efficient Path Computation Model for Hierarchically Structured Topographical Road Maps
Generalized Analytic Rule Extraction for Feedforward Neural Networks
Diffusion of "Following" Links in Microblogging Networks
CVTM: A Content-Venue-Aware Topic Model for Group Event Recommendation
Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction
A Network Level Channel Abstraction for Multimedia Communication in Real-Time Networks
ROAD: A New Spatial Object Search Framework for Road Networks
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge
Compressed Data Direct Computing for Databases
VELOS: A New Approach for Efficiently Achieving High Availability in Partitioned Distributed Systems
CDNs Content Outsourcing via Generalized Communities
Next Generation Indexing for Genomic Intervals
A Communication Perspective on Automatic Text Categorization
GCPA: GAN-Based Collusive Poisoning Attack in Federated Recommender Systems
Hyperbolic Embedding of Attributed and Directed Networks
Supervised Search Result Diversification via Subtopic Attention
Logical Organization of Knowledge with Inconsistent and Undecidable Algorithms Using Imaginary and Transfinite Exponential Number Forms in a Non-Boolean Field: Part One - Basic Principles
Partitioned Dynamic Hub Labeling for Large Road Networks
Optimal Agreement Protocol in Malicious Faulty Processors and Faulty Links
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance
Trends in Cooperative Distributed Problem Solving
Organizing an Influential Social Event Under a Budget Constraint
Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments
IR-Tree: An Efficient Index for Geographic Document Search
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering
Conversational Recommendation With Online Learning and Clustering on Misspecified Users
Adaptive Label Propagation for Group Anomaly Detection in Large-Scale Networks
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Social Attentive Deep Q-Networks for Recommender Systems
Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Query Relaxation by Structure and Semantics for Retrieval of Logical Web Documents
Explainable Legal Case Matching via Graph Optimal Transport
Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing
Content-Based Image Retrieval Based on a Fuzzy Approach
Query Expansion With Local Conceptual Word Embeddings in Microblog Retrieval
Diagnostic Sparse Connectivity Networks With Regularization Template
Dealing with the Expert Inconsistency in Probability Elicitation
Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization
A Factorization Approach for Survival Analysis on Diffusion Networks
Semisupervised Wrapper Choice and Generation for Print-Oriented Documents
Evaluation of the Sample Clustering Process on Graphs
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation
MAP-JOIN-REDUCE: Toward Scalable and Efficient Data Analysis on Large Clusters
Workflow Mining: Discovering Process Models from Event Logs
Inferring Higher-Order Structure Statistics of Large Networks from Sampled Edges
Symbolic User-Defined Periodicity in Temporal Relational Databases
Cost-Constrained Data Acquisition for Intelligent Data Preparation
NoSE: Schema Design for NoSQL Applications
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Statistical Tests and Association Measures for Business Processes
On Change Diagnosis in Evolving Data Streams
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels
Efficient Lazy Evaluation of Rule-Based Programs
Competitor Mining with the Web
Online Adaptive Asymmetric Active Learning With Limited Budgets
Load Balancing of Parallelized Information Filters
A Look-Ahead Approach to Secure Multiparty Protocols
Category-Controlled Encoder-Decoder for Fake News Detection
Multimodal KB Harvesting for Emerging Spatial Entities
Fraud Detection in Dynamic Interaction Network
Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression
An Empirical Evaluation of Techniques for Ranking Semantic Associations
MWMOTE-Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
Graph Alignment Neural Network Model With Graph to Sequence Learning
Multi-Label Feature Selection With Missing Features via Implicit Label Replenishment and Positive Correlation Feature Recovery
NAIS: Neural Attentive Item Similarity Model for Recommendation
An Object-Oriented Query Evaluation Scheme for Logical Databases in Massively Parallel Environment
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends
When is Early Classification of Time Series Meaningful?
Improving Activity Recognitionby Segmental Pattern Mining
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive
Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification
Revisiting Embedding Based Graph Analyses: Hyperparameters Matter!
A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension
Continuous Monitoring of Maximum Clique Over Dynamic Graphs
Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW
C 2 IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection
Finding and Labeling the Subject of a Captioned Depictive Natural Photograph
On the Complexity of Distributed Query Optimization
Scaling HTM-Supported Database Transactions to Many Cores
Leveraging Currency for Repairing Inconsistent and Incomplete Data
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs
Schema Evolution of an Object-Oriented Real-Time Database System for Manufacturing Automation
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Semantic Ideation Learning for Agent-Based E-Brainstorming
Correction to "Ontological Versus Knowledge Engineering"
Discovery of Temporal Associations in Multivariate Time Series
Efficient Classification by Removing Bayesian Confusing Samples
DINE: Dimensional Interpretability of Node Embeddings
Localized Co-Occurrence Model for Fast Approximate Search in 3D Structure Databases
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations
Aspect-Guided Syntax Graph Learning for Explainable Recommendation
User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective
LIMTopic: A Framework of Incorporating Link Based Importance into Topic Modeling
Data Mining for Case-Based Reasoning in High-Dimensional Biological Domains
PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects
Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning
ParIS+: Data Series Indexing on Multi-Core Architectures
Granular-Ball Fuzzy Set and Its Implement in SVM
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size
Turn Waste Into Wealth: On Efficient Clustering and Cleaning Over Dirty Data
A Simple Message-Optimal Algorithm for Random Sampling from a Distributed Stream
Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource
Classifier Ensembles with the Extended Space Forest
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
CrowdChart: Crowdsourced Data Extraction From Visualization Charts
A Parallel Asynchronous Garbage Collection Algorithm for Distributed Systems
On-Demand Forecasting of Stock Prices Using a Real-Time Predictor
Learning Latent and Changing Dynamics in Real Non-Stationary Environments
A Survey of Location Prediction on Twitter
Computing Exact Skyline Probabilities for Uncertain Databases
Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus
On the Performance Intricacies of Persistent Memory Aware Storage Engines
Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches
Sample-Based Attribute Selective A n DE for Large Data
An Evidential Reasoning Approach to Attribute Value Conflict Resolution in Database Integration
WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder
Fully Dynamic $k$k-Center Clustering With Improved Memory Efficiency
A Variational Bayesian Framework for Clustering with Multiple Graphs
SQL Extension for Interval Data
Pooling for Combination of Multilevel Forecasts
Fuzzy Logic Techniques in Multimedia Database Querying: A Preliminary Investigation of the Potentials
Manufacturing-Oriented Discrete Process Modeling Approach Using the Predicate Logic
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning
Structural and Role-Oriented Web Service Discovery with Taxonomies in OWL-S
Efficient Differential Timeslice Computation
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
A Novel Variable-order Markov Model for Clustering Categorical Sequences
Parallel Simulated Annealing with a Greedy Algorithm for Bayesian Network Structure Learning
Generating Queries with Cardinality Constraints for DBMS Testing
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output
Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework
A FAD for Data Intensive Applications
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning
3D-List: A Data Structure for Efficient Video Query Processing
Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining
On Rival Penalization Controlled Competitive Learning for Clustering with Automatic Cluster Number Selection
Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory
NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data
Social Recommendation With Learning Personal and Social Latent Factors
Signature-Based Trajectory Similarity Join
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning
Removing DUST Using Multiple Alignment of Sequences
A Review of Macsyma
Density Conscious Subspace Clustering for High-Dimensional Data
Iterative Projected Clustering by Subspace Mining
User-Driven Geolocated Event Detection in Social Media
Generalized Local Prominence for Source Detection in Real-World Rumor Networks
Engineering a Policy-Based System for Federated Healthcare Databases
TopicMachine: Conversion Prediction in Search Advertising Using Latent Topic Models
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
Data Representation by Joint Hypergraph Embedding and Sparse Coding
An Efficiently Updatable Path Oracle for Terrain Surfaces
Efficient R-Tree Based Indexing Scheme for Server-Centric Cloud Storage System
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases
Fuzzy Metagraph and Its Combination with the Indexing Approach in Rule-Based Systems
Towards Semi-Supervised Universal Graph Classification
Updating Distributed Materialized Views
Cascading Spatio-Temporal Pattern Discovery
Exploiting Punctuation Semantics in Continuous Data Streams
Quasi-Acyclic Propositional Horn Knowledge Bases: Optimal Compression
Fully Scalable Methods for Distributed Tensor Factorization
Efficient and Accurate Discovery of Patterns in Sequence Data Sets
On the Design of Distributed Object Placement and Load Balancing Strategies in Large-Scale Networked Multimedia Storage Systems
The Knowledge-Based Object-Oriented PICQUERY+ Language
The Subgraph Bisimulation Problem
Discovering Urban Functional ZonesUsing Latent Activity Trajectories
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems
Probabilistic Models for Ad Viewability Prediction on the Web
Active Learning of Constraints for Semi-Supervised Clustering
The Piazza Peer Data Management System
On-The-Fly Reading of Entire Databases
Geometric Affinity Propagation for Clustering With Network Knowledge
Balancing Act: MDGAN for Imbalanced Tabular Data Synthesis
TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines
Complex Event Summarization Using Multi-Social Attribute Correlation
Bidirectional String Anchors for Improved Text Indexing and Top-$K$ Similarity Search
Co-Evolution of Viral Processes and Structural Stability in Signed Social Networks
Establishing the Relevancy of the Bookkeeping Libraries to the Functional Testing of Computer Implementations
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends
Analyzing Outliers Cautiously
TEXT: Automatic Template Extraction from Heterogeneous Web Pages
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning
Electroencephalogram Signal Clustering With Convex Cooperative Games
WISE: A World Wide Web Resource Database System
Structured Data Extraction from the Web Based on Partial Tree Alignment
A Theory of Translation From Relational Queries to Hierarchical Queries
Global Viewing of Heterogeneous Data Sources
Search Rank Fraud and Malware Detection in Google Play
DVCAE: Semi-Supervised Dual Variational Cascade Autoencoders for Information Popularity Prediction
On Agent-Mediated Electronic Commerce
Integrating Security and Real-Time Requirements Using Covert Channel Capacity
Quality-Aware Sampling and Its Applications in Incremental Data Mining
What is My Problem? Identifying Formal Tasks and Metrics in Data Mining on the Basis of Measurement Theory
Hierarchical Encoded Path Views for Path Query Processing: An Optimal Model and Its Performance Evaluation
Protecting Sensitive Labels in Social Network Data Anonymization
EA$^{2}$2N: Evidence-Based AMR Attention Network for Fake News Detection
Symmetrical Self-Representation and Data-Grouping Strategy for Unsupervised Feature Selection
A Pattern Mining Approach to Sensor-Based Human Activity Recognition
EnBay: A Novel Pattern-Based Bayesian Classifier
SMCA: A General Model for Mining Asynchronous Periodic Patterns in Temporal Databases