yusuke1997/dblp-id-title huggingface dataset:
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation
A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection
Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks
Learning User Preferences on the WEB
Prototype Similarity Learning for Activity Recognition
Data Mining for Intelligent Structure Form Selection Based on Association Rules from a High Rise Case Base
Tradeoff Analysis of Different Markov Blanket Local Learning Approaches
Signed-Error Conformal Regression
Zero-Shot Machine Unlearning Using Generative Adversarial Network
Distributed Pattern Discovery in Multiple Streams
Analyzing Personality Traits Based on User Behavoirs of Using Microblog
Rare-Events Classification: An Approach Based on Genetic Algorithm and Voronoi Tessellation
Tensor-Fused Multi-view Graph Contrastive Learning
Scale-Adaptive Group Optimization for Social Activity Planning
A Multi-Hierarchical Representation for Similarity Measurement of Time Series
Enhancing Duplicate Collection Detection Through Replica Boundary Discovery
Data-Mining Massive Time Series Astronomical Data Sets - A Case Study
Finding Event-Oriented Patterns in Long Temporal Sequences
Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification
Curiosity-Driven Variational Autoencoder for Deep Q Network
Keyword Extraction with Character-Level Convolutional Neural Tensor Networks
Age Estimation Using Bayesian Process
Mining Closed Episodes from Event Sequences Efficiently
Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function
Improving the Performance of Boosting for Naive Bayesian Classification
Knowledge Lock: Overcoming Catastrophic Forgetting in Federated Learning
Discovering Unknown But Interesting Items on Personal Social Network
RadialViz: An Orientation-Free Frequent Pattern Visualizer
An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining
A Parallel Algorithm for Finding Related Pages in the Web by Using Segmented Link Structures
DTU: A Decision Tree for Uncertain Data
HuPer: Human Factors Integrated Persuasive Dialogue Models
Multiple Demographic Attributes Prediction in Mobile and Sensor Devices
Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors
SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework
Predicting Friendship Links in Social Networks Using a Topic Modeling Approach
Balancing the Analysis of Frequent Patterns
Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure
Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study
USAID: Unifying Signature-Based and Anomaly-Based Intrusion Detection
Parallel Density-Based Clustering of Complex Objects
Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions
InteraRec: Interactive Recommendations Using Multimodal Large Language Models
Retraining Gradient Boosting Decision Trees with Backward Compatibility of Explanations
Topological Comparisons of Proximity Measures
Revisiting Link Prediction with the Dowker Complex
Convex Hulls in Concept Induction
An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory
A Divide and Conquer Approach for Deriving Partially Ordered Sub-structures
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
A Comparison of Feature-Combination for Example-Based Super Resolution
A Survey of Open Source Data Mining Systems
Modeling Inter-aspect Relationship with Conjunction for Aspect-Based Sentiment Analysis
On the Network Embedding in Sparse Signed Networks
Combining Smooth Graphs with Semi-supervised Classification
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
MLCL: Remote Sensing Change Detection Using Multi-level Contrastive Learning
Online Algorithms for Multiclass Classification Using Partial Labels
MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification
Causal Inference Using Global Forecasting Models for Counterfactual Prediction
Domain Identification of Scientific Articles Using Transfer Learning and Ensembles
Net-Ray: Visualizing and Mining Billion-Scale Graphs
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
Feature Weighting by RELIEF Based on Local Hyperplane Approximation
Sequential Index Structure for Content-Based Retrieval
Data Mining with Algorithmic Transparency
Data Mining of Gene Expression Microarray via Weighted Prefix Trees
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems
Ensembles of Nested Dichotomies with Multiple Subset Evaluation
Rating Entities and Aspects Using a Hierarchical Model
Overall Loss for Deep Neural Networks
A Unifying Method for Outlier and Change Detection from Data Streams Based on Local Polynomial Fitting
A Unified Detector for Both Adversarial Attacks and Out-of-Distribution Samples Based on Kernel Path Distribution
Classification of Audio Signals Using a Bhattacharyya Kernel-Based Centroid Neural Network
Memorization in Deep Neural Networks: Does the Loss Function Matter?
Evolutionary Optimization of Trading Strategies
Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns
Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers
Partial Tree-Edit Distance: A Solution to the Default Class Problem in Pattern-Based Tree Classification
High Dimensional Explicit Feature Biased Matrix Factorization Recommendation
Heterogeneous Domain Adaptation Based on Class Decomposition Schemes
Flexible Selection of Wavelet Coefficients Based on the Estimation Error of Predefined Queries
Bias-Free Hypothesis Evaluation in Multirelational Domains
SLGAT: Soft Labels Guided Graph Attention Networks
A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method
Intelligent Particle Swarm Optimization in Multi-objective Problems
Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection
H-Rule Mining in Heterogeneous Databases
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function
Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Data Removal from an AUC Optimization Model
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure
Generating Frequent Patterns with the Frequent Pattern List
A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data
Improving Entity Disambiguation Using Knowledge Graph Regularization
A Multi-resolution Approach for Atypical Behaviour Mining
A Selective Classifier for Incomplete Data
Steering Time-Dependent Estimation of Posteriors with Hyperparameter Indexing in Bayesian Topic Models
SDF-Guided Multi-modal Big Data Road Extraction
Compact Dual Ensembles for Active Learning
Subspace Clustering of Text Documents with Feature Weighting K -Means Algorithm
A Hybrid Index Model for Efficient Spatio-Temporal Search in HBase
Finding Negative Event-Oriented Patterns in Long Temporal Sequences
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2025 Workshops, ADUR, FairPC, GLFM, PM4B and RAFDA, Sydney, NSW, Australia, June 10-13, 2025, Proceedings
Discovery of Relevant Weights by Minimizing Cross-Validation Error
Detection of Risk Factors as Temporal Data Mining
Mining Locally Trending High Utility Itemsets
A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease
Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments
SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection
Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases
Mining Contrast Subspaces
Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques
Mining Optimal Class Association Rule Set
Multi-behavior Guided Temporal Graph Attention Network for Recommendation
Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning
A Hybrid Approach to Clustering in Very Large Databases
The Application of Echo State Network in Stock Data Mining
Optimal Allocation of High Dimensional Assets through Canonical Vines
Clustering Data Streams in Optimization and Geography Domains
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation
Weighted Association Rule Mining Using Particle Swarm Optimization
Knowledge Base Completion by Inference from Both Relational and Literal Facts
Bayesian Optimization over Mixed Type Inputs with Encoding Methods
A Distributed Coordinate Descent Algorithm for Learning Factorization Machine
A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data
Maintaining Consistency with Constraints: A Constrained Deep Clustering Method
Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting
Self-supervised Learning for Semi-supervised Time Series Classification
Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results
Multimodal Mixture Density Boosting Network for Personality Mining
Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
Off-Policy Recommendation System Without Exploration
Hierarchical Classification of Documents with Error Control
Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
Transaction Clustering Using a Seeds Based Approach
On Addressing Accuracy Concerns in Privacy Preserving Association Rule Mining
Visually Aided Exploration of Interesting Association Rules
Cluster Structure of K-means Clustering via Principal Component Analysis
It Pays to Be Certain: Unsupervised Record Linkage via Ambiguity Minimization
Sorted Nearest Neighborhood Clustering for Efficient Private Blocking
ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization
Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers
Identifying Near-Miss Traffic Incidents in Event Recorder Data
Dynamic Variable Dependency Encoding and Its Application on Change Point Detection
One-Class Support Vector Machines for Recommendation Tasks
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
Mining Frequent Trees with Node-Inclusion Constraints
Robust Clustering of Large Geo-referenced Data Sets
Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study
Learning Discriminative Representation Base on Attention for Uplift
Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity
Activity Recognition Using a Few Label Samples
Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation
Double Ramp Loss Based Reject Option Classifier
Unmixed Spectrum Clustering for Template Composition in Lung Sound Classification
Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion
Recurring and Novel Class Detection in Concept-Drifting Data Streams Using Class-Based Ensemble
Mining Mobile Group Patterns: A Trajectory-Based Approach
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Learning to Display in Sponsored Search
Emotion Recognition of Pop Music Based on Maximum Entropy with Priors
Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings
A Research of Applying Association Rules and Decision Tree to Endometriosis
Fast and Semantic Measurements on Collaborative Tagging Quality
Towards Linear Time Overlapping Community Detection in Social Networks
Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations
DART: Diversified and Accurate Long-Tail Recommendation
An Integration of Fuzzy Association Rules and WordNet for Document Clustering
User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations
What's in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification
Accurate News Recommendation Coalescing Personal and Global Temporal Preferences
Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions
Tracking Topic Evolution in On-Line Postings: 2006 IBM Innovation Jam Data
Mining High Utility Itemsets in Big Data
AttributeNets: An Incremental Learning Method for Interpretable Classification
A New Framework for Taxonomy Discovery from Text
Graph Partition Model for Robust Temporal Data Segmentation
cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data
Privacy Preserving Association Rule Mining Using Binary Encoded NSGA-II
A Dynamic and Task-Independent Reward Shaping Approach for Discrete Partially Observable Markov Decision Processes
A Multi-dependency Language Modeling Approach to Information Retrieval
Exploring Dual-Triangular Structure for Efficient R-Initiated Tall-Skinny QR on GPGPU
Improving Clinical Note Generation from Complex Doctor-Patient Conversation
Kernel Functions Based on Derivation
Automatic Training Example Selection for Scalable Unsupervised Record Linkage
Heterogeneous Ensemble for Feature Drifts in Data Streams
Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks
An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases
Training Support Vector Machines Using Greedy Stagewise Algorithm
Multi-perspective Hierarchical Dirichlet Process for Geographical Topic Modeling
FACROC: A Fairness Measure for Fair Clustering Through ROC Curves
Discovering Semantics from Multiple Correlated Time Series Stream
COMET: Event-Driven Clustering over Multiple Evolving Streams
Clustering Over Data Streams Based on Growing Neural Gas
Attention-to-Embedding Framework for Multi-instance Learning
Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms
INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification
An Improved Definition of Multidimensional Inter-transaction Association Rule
Neural Network Based Classifers for a Vast Amount of Data
A Distance Scaling Method to Improve Density-Based Clustering
Protoformer: Embedding Prototypes for Transformers
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
Web-Scale Semantic Product Search with Large Language Models
Cost-Effective Viral Marketing in the Latency Aware Independent Cascade Model
Adaptive Graph Co-Attention Networks for Traffic Forecasting
Adaptive Weight Assignment for Adversarial Training Based on Predicted Class Probabilities Across Different Attacks and Perturbation Sizes
Super-Graph Classification
Faper: Join Tree with Uncertainty Awareness for Faster, More Precise and Robust Cardinality Estimation
Graph Mining: Laws, Generators and Tools
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data
Learning Representative Nodes in Social Networks
KDD as an Enterprise IT Tool: Reality and Agenda (Abstract)
Mining Diversified Shared Decision Tree Sets for Discovering Cross Domain Similarities
Link Prediction in Schema-Rich Heterogeneous Information Network
Anomaly Detection Technique Robust to Units and Scales of Measurement
Predicting Next Locations with Object Clustering and Trajectory Clustering
Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs
A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045
GrabQC: Graph Based Query Contextualization for Automated ICD Coding
Improving Structural and Semantic Global Knowledge in Graph Contrastive Learning with Distillation
Robust Multi-view Manifold Ranking for Image Retrieval
Querying Compressed XML Data
Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data
Knowledge Transfer across Multilingual Corpora via Latent Topics
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III
Semantic Sequence Kin: A Method of Document Copy Detection
dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy
Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams
Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness
Algorithms for an Efficient Tensor Biclustering
Efficient Algorithms for Concept Space Construction
A Simhash-Based Generalized Framework for Citation Matching in MapReduce
RAG Based Product Review Summarization and Faithfulness Evaluation
A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
Comparing Negotiation Strategies Based on Offers
Temporal Data Mining Using Hidden Markov-Local Polynomial Models
CL e V er : A Feature Subset Selection Technique for Multivariate Time Series
Extracting Shared Topics of Multiple Documents
Sparse Attention-Based Imputation Network for Time Series
IT Development in the 21 st Century and Its Implications
Real Time Video Data Mining for Surveillance Video Streams
Predictive Self-Organizing Networks for Text Categorization
ATNet: Answering Cloze-Style Questions via Intra-attention and Inter-attention
Towards Real Time Discovery from Distributed Information Sources
SIGNet: Scalable Embeddings for Signed Networks
BaDumTss: Multi-task Learning for Beatbox Transcription
Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation
W2FM: The Doubly-Warped Factorization Machine
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
An Investigation on Multi View Based User Behavior Towards Spam Detection in Social Networks
An Approach to Identifying False Traces in Process Event Logs
LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data
Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval
Large Language Models for Detection of Life-Threatening Texts
Ranking Sequential Patterns with Respect to Significance
Discovering Action Rules That Are Highly Achievable from Massive Data
A Cluster Ensemble Strategy for Asian Handicap Betting
The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree
DISC: Data-Intensive Similarity Measure for Categorical Data
Fast Pattern Selection for Support Vector Classifiers
IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection
Spectral Analysis of Text Collection for Similarity-Based Clustering
DQAC: Detoxifying Query Auto-completion with Adapters
Understanding Community Effects on Information Diffusion
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data
Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs
Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing Maps
Fast Dependency Parsing Using Distributed Word Representations
Classification and Novel Class Detection in Data Streams with Active Mining
Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor
Robust and Provable Guarantees for Sparse Random Embeddings
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection
Regularized Local Reconstruction for Clustering
Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation
Real-Time Television ROI Tracking Using Mirrored Experimental Designs
SizeSpotSigs: An Effective Deduplicate Algorithm Considering the Size of Page Content
Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification
Offline Map Matching Based on Localization Error Distribution Modeling
Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning
Handling Numeric Attributes in Hoeffding Trees
Misleading Inference Generation via Proximal Policy Optimization
A Self-immunizing Manifold Ranking for Image Retrieval
Text-Source Discovery and GlOSS Update in a Dynamic Web
A Meta-thinking Approach to Mitigating Linguistic Sycophancy in Vision-Language Models
Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams
Two Measures of Objective Novelty in Association Rule Mining
Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis
Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection
Systematic Approaches to Fact Verification: Evidence Retrieval, Veracity Prediction, and Beyond
Automatic Identification of Protagonist in Fairy Tales Using Verb
Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators
Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL
Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution
IDIR: Interpolated Diffusion Image Reconstruction for Generalizable Detection of Synthetic Images
Towards Retrieval-Augmented Large Language Model-Based Conversational Recommender System
Overcoming Forgetting in Local Adaptation of Federated Learning Model
Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule
LCM over ZBDDs: Fast Generation of Very Large-Scale Frequent Itemsets Using a Compact Graph-Based Representation
SEval- [inline-graphic not available: see fulltext]: A Statement-Level Framework for Explainable Summarization Evaluation
Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints
Similarity Forests Revisited: A Swiss Army Knife for Machine Learning
MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks
Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval
Feature Selection for Local Learning Based Clustering
A Novel Clustering Method for Analysis of Gene Microarray Expression Data
Constructing Personalized Information Agents
PURE: A Novel Tripartite Model for Review Sentiment Analysis and Recommendation
Personalized Deep Learning for Tag Recommendation
Differentiable Good Arm Identification
NETEFFECT: Discovery and Exploitation of Generalized Network Effects
PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction
Data-Debugging Through Interactive Visual Explanations
Small Temperature is All You Need for Differentiable Architecture Search
Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data
MIDFA: Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection
Identifying Authoritative and Reliable Contents in Community Question Answering with Domain Knowledge