yusuke1997/dblp-id-title huggingface dataset:
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning
Multithreading Heterogeneous Graph Aggregation
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies
Nodes' Evolution Diversity and Link Prediction in Social Networks
Ordinal Regression Methods: Survey and Experimental Study
Imbalanced Clustering With Theoretical Learning Bounds
BS-SC: An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems
Flexible and Efficient Resolution of Skyline Query Size Constraints
Efficient $k$k-Plex Mining in Temporal Graphs
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge
Probabilistic Knowledge Bases
A Meta-Top-Down Method for Large-Scale Hierarchical Classification
Decoupled Representation Learning for Attributed Networks
On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets
Generating Query Facets Using Knowledge Bases
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval
Semantics, Consistency, and Query Processing of Empirical Deductive Databases
A Survey on Region Extractors from Web Documents
LPANNI: Overlapping Community Detection Using Label Propagation in Large-Scale Complex Networks
Enabling Kernel-Based Attribute-Aware Matrix Factorization for Rating Prediction
Least-Mean-Squares Coresets for Infinite Streams
On Transaction Boundaries in Active Databases: A Performance Perspective
Multivariate Cognitive Response Framework for Student Performance Prediction on MOOC
A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning
A Framework for Enabling User Preference Profiling through Wi-Fi Logs
Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness
Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models
Interpreting the Public Sentiment Variations on Twitter
Efficient Sub-Window Nearest Neighbor Search on Matrix
Prompt Tuning on Graph-Augmented Low-Resource Text Classification
Unravelling Token Ecosystem of EOSIO Blockchain
Discovery of Delta Closed Patterns and Noninduced Patterns from Sequences
Hierarchical Growing Cell Structures: TreeGCS
Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks
Maximum Signed $\theta$θ-Clique Identification in Large Signed Graphs
A Lagrangian Approach for Multiple Personalized Campaigns
Keyword Query Routing
Incremental Consolidation of Data-Intensive Multi-Flows
A Personalized Ontology Model for Web Information Gathering
Nonlinear Dimensionality Reduction with Local Spline Embedding
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems
RFID Data Processing in Supply Chain Management Using a Path Encoding Scheme
Cross-Platform Item Recommendation for Online Social E-Commerce
Continuous Similarity-Based Queries on Streaming Time Series
Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph
Time-Aware Boolean Spatial Keyword Queries
Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models
Category Alignment Adversarial Learning for Cross-Modal Retrieval
The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction
A Survey on the High-Performance Computation of Persistent Homology
Citywide Traffic Volume Estimation Using Trajectory Data
Using Semantic Web Technologies for Exploratory OLAP: A Survey
Efficient Algorithms for Kernel Aggregation Queries
Four Decades of Data Mining in Network and Systems Management
Using OODB Modeling to Partition a Vocabulary in Structurally and Semantically Uniform Concept Groups
A Software Engineering Methodology for Rule-Based Systems
Using Compiled Knowledge to Guide and Focus Abductive Diagnosis
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective
Distribution Prediction for Reconfiguring Urban Dockless E-Scooter Sharing Systems
Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks
Access Time Oracle for Planar Graphs
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
Structured Sparse Non-Negative Matrix Factorization With $\ell _{2,0}$ℓ2,0-Norm
Scalable Constrained Spectral Clustering
A Novel and Fast SimRank Algorithm
Comparing Subspace Clusterings
Computing Shapley Values for Dynamic Data
Probe Minimization by Schedule Optimization: Supporting Top-K Queries with Expensive Predicates
Unsupervised Coupled Metric Similarity for Non-IID Categorical Data
Efficient Mining of Frequent Item Sets on Large Uncertain Databases
Exploiting Data Skew for Improved Query Performance
An Extensive Survey With Empirical Studies on Deep Temporal Point Process
How Context or Knowledge Can Benefit Healthcare Question Answering?
Causal Knowledge Elicitation Based on Elicitation Failures
Effectively Indexing the Multidimensional Uncertain Objects
Machine Learning for the Geosciences: Challenges and Opportunities
Demand-Driven Caching in Multiuser Environment
Tuning On-Air Signatures for Balancing Performance and Confidentiality
QDA: A Query-Driven Approach to Entity Resolution
Feature Selection via Global Redundancy Minimization
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction
Temporal Relational Data Model
ePeriodicity: Mining Event Periodicity from Incomplete Observations
Managing Diverse Sentiments at Large Scale
Efficiently Indexing Large Sparse Graphs for Similarity Search
Time-Space Trade-Off Analysis of Morphic Trie Images
Query Aware Determinization of Uncertain Objects
Distributed Line Graphs: A Universal Technique for Designing DHTs Based on Arbitrary Regular Graphs
C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation
An Intelligent Search Method for Query Optimization by Semijoins
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples
Metric Similarity Joins Using MapReduce
Learning ADL Daily Routines with Spatiotemporal Neural Networks
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
Shape Understanding: Knowledge Generation and Learning
A Semiautomatic Method for Assigning Elevation in Contour Maps
A Generalized Temporal Role-Based Access Control Model
Explicit Graphs in a Functional Model for Spatial Databases
Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection
Exploiting Data Mining Techniques for Broadcasting Data in Mobile Computing Environments
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Unsupervised Entity Resolution With Blocking and Graph Algorithms
Lineage Encoding: An Efficient Wireless XML Streaming Supporting Twig Pattern Queries
An Expection-Driven Response Understanding Paradigm
CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning
A Survey on Deep Semi-Supervised Learning
State Monitoring in Cloud Datacenters
Correct Execution of Transactions at Different Isolation Levels
Structured Learning from Heterogeneous Behavior for Social Identity Linkage
Local Community Detection in Multi-Attributed Road-Social Networks
GAN-Based Enhanced Deep Subspace Clustering Networks
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information
Privacy-Preserving Feature Extraction via Adversarial Training
A Multiresolution Terrain Model for Efficient Visualization Query Processing
An Ensemble Approach to Link Prediction
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Open Relation Extraction for Chinese Noun Phrases
Parallel Hub Labeling Maintenance With High Efficiency in Dynamic Small-World Networks
Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time
An Unsupervised Approach for Person Name Bipolarization Using Principal Component Analysis
A Unified Framework for Mining Batch and Periodic Batch in Data Streams
Principles for Organizing Semantic Relations in Large Knowledge Bases
Multidimensional Declustering Schemes Using Golden Ratio and Kronecker Sequences
An Approach to Knowledge Acquisition Based on the Structure of Personal Construct Systems
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space
Manager Associate
Secure kNN Query Processing in Untrusted Cloud Environments
DFNO: Detecting Fuzzy Neighborhood Outliers
Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering
The Role of Polymorphism in Schema Evolution in an Object-Oriented Database
Feature Extraction and Uncorrelated Discriminant Analysis for High-Dimensional Data
Time-Respecting Flow Graph Pattern Matching on Temporal Graphs
Distributed Suffix Tree Overlay for Peer-to-Peer Search
Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
An Evaluation of Vertical Class Partitioning for Query Processing in Object-Oriented Databases
CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation
Efficient Mining of Frequent Patterns on Uncertain Graphs
Knowledge and Data Engineering
Single-Source Personalized PageRanks With Workload Robustness
Exploiting Group-Level Behavior Pattern for Session-Based Recommendation
Cooperative Media Data Streaming with Scalable Video Coding
Multilabel Classification via Co-Evolutionary Multilabel Hypernetwork
On Robustness of B-Trees
SAL-Hashing: A Self-Adaptive Linear Hashing Index for SSDs
Cross-Platform Event Popularity Analysis via Dynamic Time Warping and Neural Prediction
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery
Moving E-Commerce with PIVOTS: Private Information Viewing Offering Total Safety
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression
An Implementation of the CORDRA Architecture Enhanced for Systematic Reuse of Learning Objects
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks
Deep Hierarchy-Aware Proxy Hashing With Self-Paced Learning for Cross-Modal Retrieval
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection
Domain Adaptation and Summary Distillation for Unsupervised Query Focused Summarization
An Approach to Novelty Detection Applied to the Classification of Image Regions
Instance Selection via Voronoi Neighbors for Binary Classification Tasks
A Methodology to Quickly Perform Opinion Mining and Build Supervised Datasets Using Social Networks Mechanics
Breaking the Barrier to Transferring Link Information across Networks
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks
Continuous Nearest Neighbor Queries over Sliding Windows
A Graph-Based Approach for Timing Analysis and Refinement of OPS5 Knowledge-Based Systems
Personalized Dynamic Counter Ad-Blocking Using Deep Learning
Privacy-Preserving Kth Element Score over Vertically Partitioned Data
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and $L_{1}$L1 Norm
A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance
Towards De-Anonymization of Google Play Search Rank Fraud
Improving Word Similarity by Augmenting PMI with Estimates of Word Polysemy
Flexible Tensor Learning for Multi-View Clustering With Markov Chain
A Region-Aware Dual Latent State Mining Framework for Service Recommendation in Large-Scale Service Networks
Authenticating Location-Based Skyline Queries in Arbitrary Subspaces
Deep Learning Based Knowledge Tracing: A Review, a Tool and Empirical Studies
AStore: Uniformed Adaptive Learned Index and Cache for RDMA-Enabled Key-Value Store
Discovering Frequent Graph Patterns Using Disjoint Paths
Privacy Preserving Decision Tree Learning Using Unrealized Data Sets
Boosting an Associative Classifier
Automatic Fragment Detection in Dynamic Web Pages and Its Impact on Caching
Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance
Estimating Block Selectivities for Physical Database Design
Uncertain Graph Sparsification
A Probabilistic Limit on the Virtual Size of Replicated Disk Systems
LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams
Fairness-Aware Maximal Clique in Large Graphs: Concepts and Algorithms
Snoopy: Effective and Efficient Semantic Join Discovery via Proxy Columns
Efficient Multi-View K-Means Clustering With Multiple Anchor Graphs
In-Memory Big Data Management and Processing: A Survey
Neighborhood Information-Based Method for Multivariate Association Mining
An Embedding-Based Approach to Rule Learning in Knowledge Graphs
CSVD: Clustering and Singular Value Decomposition for Approximate Similarity Search in High-Dimensional Spaces
A Dual Framework and Algorithms for Targeted Online Data Delivery
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification
MULS: A General Framework of Providing Multilevel Service Quality in Sequential Data Broadcasting
Time-Aware Web Users' Clustering
A Proxy-Based Approach to Continuous Location-Based Spatial Queries in Mobile Environments
Rule-Based System Validation through Automatic Identification of Equivalence Classes
CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender System
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction
Generalized Label Enhancement With Sample Correlations
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering
Practical Data-Oriented Microaggregation for Statistical Disclosure Control
A Fourier Spectrum-Based Approach to Represent Decision Trees for Mining Data Streams in Mobile Environments
Knowledge Graph Embedding: A Survey of Approaches and Applications
Deep Learning for Adverse Event Detection From Web Search
Deep Isolation Forest for Anomaly Detection
Incomplete Relational Database Models Based on Intervals
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
Discovery of Structural and Functional Features in RNA Pseudoknots
CoCITe - Coordinating Changes in Text
Bregman Divergence-Based Regularization for Transfer Subspace Learning
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model
A Robust and Generalized Framework for Adversarial Graph Embedding
Unified One-Step Multi-View Spectral Clustering
Exploring Communities in Large Profiled Graphs
Semantic Query Optimization for Query Plans of Heterogeneous Multidatabase Systems
Graph Clustering With Harmonic-Maxmin Cut Guidance
Techniques for Efficient Road-Network-Based Tracking of Moving Objects
Distribution Knowledge Embedding for Graph Pooling
Dynamic Configuration Management in Reliable Distributed Real-Time Information Systems
New Order Preserving Access Methods for Very Large Files Derived From Linear Hashing
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
Concurrency Control in Database Systems
Embedding Learning with Events in Heterogeneous Information Networks
A Scalable Low-Latency Cache Invalidation Strategy for Mobile
Composite Neural Network: Theory and Application to PM2.5 Prediction
DBCGM: A Granular Model for Big Data Classification Based on Data Bisection and Cascade Weighted Clustering
Knowledge Graph for China's Genealogy 1 1.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org)
Outlier Detection for Temporal Data: A Survey
Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment
Improved Contraction-Expansion Subspace Ensemble for High-Dimensional Imbalanced Data Classification
Semantic Access to Multichannel M-Services
Algorithms for Distributed Query Processing in Broadcast Local Area Networks
Ego-Network Segmentation via (Weighted) Jaccard Median
Optimization of Parallel Execution for Multi-Join Queries
Decision Tree for Sequences
Efficient Evaluation of Continuous Text Search Queries
PM: A System to Support the Automatic Acquisition of Programming Knowledge
Semi-Supervised EEG Clustering With Multiple Constraints
Towards Stable and Explainable Attention Mechanisms
Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video
Ancestor Controlled Submodule Inclusion in Design Databases
Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators
Correction to "A Family of Directional Relation Models for Extended Objects"
Dependability of AI Systems - Guest Editor's Introduction
FBSGraph: Accelerating Asynchronous Graph Processing via Forward and Backward Sweeping
Metagraph-Based Learning on Heterogeneous Graphs
A Review on Deep Neural Networks for ICD Coding
Trends in Databases: Reasoning and Mining
A Transaction Mapping Algorithm for Frequent Itemsets Mining
Efficient Mining of Large Maximal Bicliques from 3D Symmetric Adjacency Matrix
View Integration: A Step Forward in Solving Structural Conflicts
Haar Wavelets for Efficient Similarity Search of Time-Series: With and Without Time Warping
Evolutionary Optimization of File Assignment for a Large-Scale Video-on-Demand System
Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach
Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets
Crowdsourced Coverage as a Service: Two-Level Composition of Sensor Cloud Services
Bottom-Up Construction of Ontologies
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models
Induction By Attribute Elimination
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR)
Efficient Keyword-Based Search for Top-K Cells in Text Cube
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning
Incremental Subgraph Feature Selection for Graph Classification
Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach
An UpDown Directed Acyclic Graph Approach for Sequential Pattern Mining
Multiset Membership Lookup in Large Datasets
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information
On Spatial-Aware Community Search
Random Deep Graph Matching
Managing Evolving Uncertainty in Trajectory Databases
Neural Networks Learn Specified Information for Imbalanced Data Classification
Distributed Skyline Retrieval with Low Bandwidth Consumption
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction
Discover Dependencies from Data - A Review
Mixture Matrix Approximation for Collaborative Filtering
Dynamic Quantification With Constrained Error Under Unknown General Dataset Shift
HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks
A Shrinking-Based Clustering Approach for Multidimensional Data
Detection and Recovery Techniques for Database Corruption
Disentangled Graph Contrastive Learning With Independence Promotion
Effective Generation of Data Broadcast Schedules with Different Allocation Numbers for Multiple Wireless Channels
Detecting Stress Based on Social Interactions in Social Networks
Scalable Multiway Stream Joins in Hardware
Efficient Adaptive Matching for Real-Time City Express Delivery
Preventing Location-Based Identity Inference in Anonymous Spatial Queries
Fast Algorithms for Frequent Itemset Mining Using FP-Trees
A Hidden Markov Contour Tree Model for Spatial Structured Prediction
Exploiting Category-Level Multiple Characteristics for POI Recommendation
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites
Towards Accurate Truth Discovery With Privacy-Preserving Over Crowdsourced Data Streams
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression
The Vagabond Approach to Logging and Recovery in Transaction-Time Temporal Object Database Systems
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds
An Optimization Algorithm for Production Systems
BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification
Accelerating Graph Similarity Search via Efficient GED Computation
Learning Image-Text Associations
Precise and Fast Cryptanalysis for Bloom Filter Based Privacy-Preserving Record Linkage
Topic Models for Unsupervised Cluster Matching
Finding Related Forum Posts through Content Similarity over Intention-Based Segmentation
Reverse Nearest Neighbors Search in Ad Hoc Subspaces
Fast Recognition of Musical Genres Using RBF Networks
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction
When Convolutional Network Meets Temporal Heterogeneous Graphs: An Effective Community Detection Method
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning
Distributed Hypergraph Processing Using Intersection Graphs
Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks
NHOP: A Nested Associative Pattern for Analysis of Consensus Sequence Ensembles
Conditional Reliability in Uncertain Graphs
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN
Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing
Efficient Subgraph Isomorphism Detection: A Decomposition Approach
Multi-Task Learning for Influence Estimation and Maximization
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing
Anomaly Detection in Dynamic Graphs via Transformer
Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation
Reachability Querying: Can It Be Even Faster?
Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data
GERF: A Group Event Recommendation Framework Based on Learning-to-Rank
Explainable Recommender With Geometric Information Bottleneck
A Framework for Knowledge Discovery and Evolution in Databases
HyperMinHash: MinHash in LogLog Space
Robust Image Hashing with Tensor Decomposition
Intra-Category Aware Hierarchical Supervised Document Hashing
Cover Trees Revisited: Exploiting Unused Distance and Direction Information
Cross-Graph Interaction Networks
Block-Diagonal Guided Symmetric Nonnegative Matrix Factorization
Denoising Item Graph With Disentangled Learning for Recommendation
FoCUS: Learning to Crawl Web Forums
Top k Favorite Probabilistic Products Queries
Context-Aware Hypergraph Construction for Robust Spectral Clustering
On the Statistical Significance of a Community Structure
Runtime Optimizations for Tree-Based Machine Learning Models
Network Embedding With Completely-Imbalanced Labels
Characterizing Web Usage Regularities with Information Foraging Agents
Branch-and-Bound for Model Selection and Its Computational Complexity
Max-Margin Discriminant Projection via Data Augmentation