yusuke1997/dblp-id-title huggingface dataset:
On Grid-Based Key Pre-distribution: Toward a Better Connectivity in Wireless Sensor Network
Mining Access Patterns Efficiently from Web Logs
Machine Learning Techniques for Data Reduction of Climate Applications
Multivariate Equi-width Data Swapping for Private Data Publication
Subgroup Discovery Techniques and Applications
FedCIPP: A Novel Full-Lifecycle Intellectual Property Protection Framework for Federated Learning
Sparse Kernel-Based Feature Weighting
Weak Supervision Network Embedding for Constrained Graph Learning
Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks
An Unsupervised Boosting Strategy for Outlier Detection Ensembles
Automatic Extraction of Low Frequency Bilingual Word Pairs from Parallel Corpora with Various Languages
Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation
Model-Agnostic Reachability Analysis on Deep Neural Networks
Hardware Enhanced Mining for Association Rules
Models for Distributed, Large Scale Data Cleaning
Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining
Isolating Latent Context Information Enhances Graph Structure Learning for Spatial Interpolation
Forward Semi-supervised Feature Selection
Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis
Efficient and Comprehensible Local Regression
Mining User Behavioral Rules from Smartphone Data Through Association Analysis
Rule Discovery in Databases with Missing Values Based on Rough Set Model
A Differentially Private Method for Crowdsourcing Data Submission
Interpretable Feature Construction for Time Series Extrinsic Regression
EMAWNB: Enhanced Multi-view Attribute Weighted Naive Bayes
Growth Analysis of Neighbor Network for Evaluation of Damage Progress
Deep Feature Extraction from Trajectories for Transportation Mode Estimation
Conversation Intention Perception Based on Knowledge Base
Transferring Domain Knowledge with an Adviser in Continuous Tasks
Approximate Spectral Clustering
Energy-Based Localized Anomaly Detection in Video Surveillance
Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
New Exact Concise Representation of Rare Correlated Patterns: Application to Intrusion Detection
Building Behaviour Knowledge Space to Make Classification Decision
Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams
Parallel Recursive Deep Model for Sentiment Analysis
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
Source Identification Model Based on Label Propagation and Graph Ordinary Differential Equations
Designing a System for a Process Parameter Determined through Modified PSO and Fuzzy Neural Network
Open Set Recognition for Time Series Classification
Joint Tree of Combinatorial Maps
Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes
Combining the Strength of Pattern Frequency and Distance for Classification
A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns
Customer Segmentation Based on Transactional Data Using Stream Clustering
Text2Chart: A Multi-staged Chart Generator from Natural Language Text
Grade Prediction with Course and Student Specific Models
Human-Driven Active Verification for Efficient and Trustworthy Graph Classification
An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting
Induction as Pre-processing
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks
Image Representation Optimization Based on Locally Aggregated Descriptors
Social Stream Classification with Emerging New Labels
Adding Missing Words to Regular Expressions
A Hierarchical Composition of LU Matrix-Based Key Distribution Scheme for Sensor Networks
A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data
Classification with Reject Option Using Conformal Prediction
A Greedy Algorithm to Construct L1 Graph with Ranked Dictionary
M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification
Frequent Itemset Mining with Parallel RDBMS
Purchase Signatures of Retail Customers
An Induction Algorithm Based on Fuzzy Logic Programming
Exception Rule Mining with a Relative Interestingness Measure
A Multiple Kernel Support Vector Machine Scheme for Simultaneous Feature Selection and Rule-Based Classification
On the Evaluation of the Homogeneous Ensembles with CV-Passports
A Cloud Based Type-2 Diabetes Mellitus Lifestyle Self-Management System
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
A General Method of Mining Chinese Web Documents Based on GA&SA and Position-Factors
A New Algorithm for Minimum Attribute Reduction Based on Binary Particle Swarm Optimization with Vaccination
Adaptive Feature Generation for Online Continual Learning from Imbalanced Data
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs
Explainable Temporal Knowledge Graph Reasoning via Expressive Logic Rules
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers
Input Enhanced Logarithmic Factorization Network for CTR Prediction
EquityNet: Unveiling Corporate Equity Relationships in Business Conglomerates Using Graph Neural Networks and GDV Features
An Improved Self-Structuring Neural Network
Shingled Graph Disassembly: Finding the Undecideable Path
Reducing Inter-piconet Delay for Large-Scale Bluetooth Scatternets
Incremental Discovering Association Rules: A Concept Lattice Approach
A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution
An Effective Multi-level Algorithm Based on Ant Colony Optimization for Bisecting Graph
Web Site Audience Segmentation Using Hybrid Alignment Techniques
Multi-Source Skyline Queries Processing in Multi-Dimensional Space
Privacy Aware K-Means Clustering with High Utility
A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams
Multi-behavior Recommender Systems: A Survey
A Nested Zeroth-Order Fine-Tuning Approach for Cloud-Edge LLM Agents
Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory
An Extended Random-Sets Model for Fusion-Based Text Feature Selection
Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach
Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network
A Model-Based Multivariate Time Series Clustering Algorithm
Focus on What Matters: Guiding Vision Transformers Towards Justification
Complementary Usage of Tips and Reviews for Location Recommendation in Yelp
Considerations About Multistep Community Detection
Multi-level Memory Network with CRFs for Keyphrase Extraction
An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data
On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values
Unsupervised Ensemble Learning for Mining Top-n Outliers
Document-Level Relation Extraction with Cross-sentence Reasoning Graph
Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion
VCC-Fed: A Multi-task Federated Learning Paradigm with Versatile Collaborative Clients
Multivariate Beta Mixture Model: Probabilistic Clustering with Flexible Cluster Shapes
Box4Rec: Box Embedding for Sequential Recommendation
UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features
Learning to Select Important Context Words for Event Detection
Maximizing Friend-Making Likelihood for Social Activity Organization
Weighted Rough Set Learning: Towards a Subjective Approach
DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation
An Extension of the Infinite Relational Model Incorporating Interaction between Objects
A Method to Boost Naïve Bayesian Classifiers
CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log
SelectAug: A Data Augmentation Method for Distracted Driving Detection
Incorporating Relational Knowledge in Explainable Fake News Detection
Link Prediction on Evolving Data Using Tensor Factorization
Accurate Symbolization of Time Series
Causal Enhanced Uplift Model
Fast One-Class Support Vector Machine for Novelty Detection
Mining Mutually Dependent Ordered Subtrees in Tree Databases
Cyclic Pattern Kernels Revisited
Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach
A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data
Multi-Task Learning Model for Mobile Threat Detection and Cyber Resilience in Urban Systems
Attribute-Driven Capsule Network for Entity Relation Prediction
Discovering Associations in Spatial Data - An Efficient Medoid Based Approach
CODE: A Data Complexity Framework for Imbalanced Datasets
Instant Social Graph Search
Probabilistic User Modeling in the Presence of Drifting Concepts
Feature Enriched Nonparametric Bayesian Co-clustering
Mining Time-Profiled Associations: An Extended Abstract
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data
Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach
Advancing Rubric-Based Automated Essay Scoring with Multi-view BERT: A Case Study in New Zealand
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
Forecasting Urban Air Pollution Using HMM-Fuzzy Model
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data
Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases
Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering
Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure
Bridging the Gap Between Research and Production with CODE
Techniques for Efficient Learning without Search
EMT: A Tail-Oriented Method for Specific Domain Knowledge Graph Completion
BioSequence2Vec: Efficient Embedding Generation for Biological Sequences
iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment
Extreme Value Prediction for Zero-Inflated Data
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction
Online Prediction of Chess Match Result
Semantics-Guided Disentangled Learning for Recommendation
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training
Improving Machine Translation and Summarization with the Sinkhorn Divergence
Estimating Impact of Behavior Change Messages Using Large Language Models
Evaluating the Regularity of Human Behavior from Mobile Phone Usage Logs
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting
Prototype Generation Based on Instance Filtering and Averaging
Progressive Subspace Skyline Clusters Mining on High Dimensional Data
Relevant Feature Selection from EEG Signal for Mental Task Classification
Dual Learning Between Molecules and Natural Language
Multi-agent Based Classification Using Argumentation from Experience
Multi-Instance Learning from Positive and Unlabeled Bags
Noise-Tolerant Approximate Blocking for Dynamic Real-Time Entity Resolution
A Discriminative Approach to Topic-Based Citation Recommendation
A Novel Framework to Improve siRNA Efficacy Prediction
Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks
A Neural Joint Model for Extracting Bacteria and Their Locations
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
Distribution Discovery: Local Analysis of Temporal Rules
A Parallel Algorithm for Enumerating All the Maximal k -Plexes
A Clustering-Based Framework for Incrementally Repairing Entity Resolution
k-nearest Neighbor Classification on Spatial Data Streams Using P-trees
Mining GPS Data for Trajectory Recommendation
Feature Ranking of Large, Robust, and Weighted Clustering Result
Discovering the Network Backbone from Traffic Activity Data
Active Instruction Tuning for Large Language Models with Reference-Free Instruction Selection
A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting
Hashing-Based Distributed Multi-party Blocking for Privacy-Preserving Record Linkage
Self-Similarity for Data Mining and Predictive Modeling - A Case Study for Network Data
Topic Decomposition and Summarization
Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning
MCA: Multimodal Contrastive Augmentation for Medical Report Generation
Fairness Aware Recommendations on Behance
Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition
Interval Data Classification under Partial Information: A Chance-Constraint Approach
One-Class Transfer Learning with Uncertain Data
Data Management Services in ChinaGrid for Data Mining Applications
Unsupervised Noise Reduction for Nanochannel Measurement Using Noise2Noise Deep Learning
Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection
A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field
Simultaneous ECG Heartbeat Segmentation and Classification with Feature Fusion and Long Term Context Dependencies
Weighted NMF-Based Multiple Sparse Views Clustering for Web Items
Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling
Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity
Dfp-Unet: A Biomedical Image Segmentation Method Based on Deformable Convolution and Feature Pyramid
RPH-PGD: Randomly Projected Hessian for Perturbed Gradient Descent
Neighbor Line-Based Locally Linear Embedding
Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees
Mining Frequent Itemsets from Uncertain Data
Coupling Multiple Views of Relations for Recommendation
SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks
Disentangled Representation Learning for Geospatial-Temporal Data Modeling
Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter
Deep Bayesian Matrix Factorization
Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach
On Information-Theoretic Measures of Attribute Importance
Trends and Challenges in the Industrial Applications of KDD
A CRF-Based Stacking Model with Meta-features for Named Entity Recognition
Overlapping Communities for Identifying Misbehavior in Network Communications
Co-embedding of Structurally Missing Data by Locally Linear Alignment
ODDC: Outlier Detection Using Distance Distribution Clustering
Mining of Location-Based Social Networks for Spatio-Temporal Social Influence
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering
TSSE-DMM: Topic Modeling for Short Texts Based on Topic Subdivision and Semantic Enhancement
Distinguishing Causal and Acausal Temporal Relations
Compact Margin Machine
Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment
Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering
LGM: Mining Frequent Subgraphs from Linear Graphs
Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking
An Interaction-Enhanced Feature Selection Algorithm
Tracing Evolving Clusters by Subspace and Value Similarity
Extending the Applicability of Association Rules
Weighted Ensemble Classification of Multi-label Data Streams
Will I Win Your Favor? Predicting the Success of Altruistic Requests
Towards Comprehensive Privacy Protection in Data Clustering
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I
Predicting Rare Extreme Values
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale
Efficient and Diverse De Novo Protein Backbone Design with SE(3)-Equivariant Diffusion
Incremental Mining of Sequential Patterns Using Prefix Tree
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification
A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks
Product and User Dependent Social Network Models for Recommender Systems
Parallel Randomized Support Vector Machine
Query-Document Relevance Topic Models
Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
A Deterministic Crowding Evolutionary Algorithm for Optimization of a KNN-based Anomaly Intrusion Detection System
Parallel Sentiment Polarity Classification Method with Substring Feature Reduction
The iZi Project: Easy Prototyping of Interesting Pattern Mining Algorithms
The Application of Association Rules in Clinical Disease: The Relationship Between Recovery After Operation of Endovascular Aneurysm Repairing and Chronic
Towards Identity Disclosure Control in Private Hypergraph Publishing
Inferring Social Bridges that Diffuse Information Across Communities
Isotropic Representation Can Improve Dense Retrieval
Ambiguous Frequent Itemset Mining and Polynomial Delay Enumeration
Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks
Evaluation of Community Mining Algorithms in the Presence of Attributes
An Efficient Data Compression Approach to the Classification Task
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory
A DNA Index Structure Using Frequency and Position Information of Genetic Alphabet
Action Sequence Analysis Using Temporal Commonsense Knowledge
Weight Prediction Boosts the Convergence of AdamW
Knowledge Discovery in Life Science Literature, PAKDD 2006 International Workshop, KDLL 2006, Singapore, April 9, 2006, Proceedings
Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints
Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References
Identifying Relevant Databases for Multidatabase Mining
Technology Trends Analysis from the Internet Resources
AgingFedNAS: Aging Evolution Federated Deep Learning for Architecture and Hyperparameter Search
Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning
Pairwise One Class Recommendation Algorithm
FedSweep: Unlearning Backdoors in Federated Learning
Efficient Detection of Local Interactions in the Cascade Model
Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module
Electricity Based External Similarity of Categorical Attributes
Grid-Based Clustering Algorithm Based on Intersecting Partition and Density Estimation
Learning Diversified Features for Object Detection via Multi-region Occlusion Example Generating
Exploiting Geographical Location for Team Formation in Social Coding Sites
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce
Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation
Efficient DNA Fragment Assembly Based on Discrete Slime Mould Algorithm
Query-Focused Multi-document Summarization Based on Concept Importance
MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns
Concept Interconnection Based on Many-Valued Context Analysis
A Coupled Clustering Approach for Items Recommendation
Human-Understandable Decision Making for Visual Recognition
Thermal Stratification Prediction at Lake Trevallyn
On Multiple Query Optimization in Data Mining
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features
User Preference-Aware Review Generation
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
Cross-View Feature Hashing for Image Retrieval
Extracting Named Entities Using Support Vector Machines
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles
Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge
Early-Stage Event Prediction for Longitudinal Data
A Bayesian Nonparametric Approach to Multilevel Regression
Neighborhood-Based Smoothing of External Cluster Validity Measures
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation
Practical Issues on Privacy-Preserving Health Data Mining
An Adaptable Indexing Pipeline for Enriching Meta Information of Datasets from Heterogeneous Repositories
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics
Objectively Evaluating Interestingness Measures for Frequent Itemset Mining
Model Selection of Symbolic Regression to Improve the Accuracy of PM2.5 Concentration Prediction
Semantics-Reconstructing Hashing for Cross-Modal Retrieval
ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data
Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms
GEC: An Evolutionary Approach for Evolving Classifiers
A Scalable and Efficient Subgroup Blocking Scheme for Multidatabase Record Linkage
Two-Phase Layered Learning Recommendation via Category Structure
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
Supervised Nonlinear Factorizations Excel In Semi-supervised Regression
Understanding Drivers' Safety by Fusing Large Scale Vehicle Recorder Dataset and Heterogeneous Circumstantial Data
Feature Selection for Meta-learning
Clustering of Multiple Density Peaks
Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge
Automated Classification of Passing in Football
Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure
Cluster-Based Rough Set Construction
GBKII: An Imputation Method for Missing Values
Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic
DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion
Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus
Noise-Enhanced Unsupervised Link Prediction
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV
Outlier Detection Based on Leave-One-Out Density Using Binary Decision Diagrams
Fusion of Modern and Tradition: A Multi-stage-Based Deep Network Approach for Head Detection
Top Down FP-Growth for Association Rule Mining
Competition Component Identification on Twitter
Exploring Implicit Relationships in Social Network for Recommendation Systems
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data
Enhanced SVD for Collaborative Filtering
Spectral Analysis of k -Balanced Signed Graphs
Regularized Semi-supervised Classification on Manifold
Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules
Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?
Construction of a Prediction Model for Nephropathy Among Obese Patients Using Genetic and Clinical Features
Targeted Influence Minimization in Social Networks
Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification
A Biclustering-Based Classification Framework for Microarray Analysis