yusuke1997/dblp-id-title huggingface dataset:
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
A probabilistic framework for semi-supervised clustering
Topic dynamics: an alternative model of bursts in streams of topics
Using the fractal dimension to cluster datasets
Learning Rules from Distributed Data
When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations
On Clustering Techniques for Change Diagnosis in Data Streams
Trace complexity of network inference
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus
FUSE: Full Spectral Clustering
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets
Estimating the global pagerank of web communities
Adversarial Matching of Dark Net Market Vendor Accounts
SysML: On System and Algorithm Co-design for Practical Machine Learning
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation
Spatially embedded co-offence prediction using supervised learning
The distributed boosting algorithm
Strategies for Effective Shilling Attacks against Recommender Systems
Mining long-term search history to improve search accuracy
Temporal recommendation on graphs via long- and short-term preference fusion
Visual analysis of news streams with article threads
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021
Efficiently rewriting large multimedia application execution traces with few event sequences
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation
Efficiently handling feature redundancy in high-dimensional data
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection
Understanding Twitter data with TweetXplorer
Post Processing Recommender Systems for Diversity
Towards detecting influenza epidemics by analyzing Twitter messages
Reasoning about sets using redescription mining
User Identity Linkage by Latent User Space Modelling
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization
Sampling-based sequential subgroup mining
Portfolio Selections in P2P Lending: A Multi-Objective Perspective
Data Mining with Sparse and Simplified Interaction Selection
The Data Science Mentoring Fire Next Time: Innovative Strategies for Mentoring in Data Science
What's Fair?
Linear support vector machines via dual cached loops
Detecting time series motifs under uniform scaling
MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction
Open domain event extraction from twitter
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
DualMiner: a dual-pruning algorithm for itemsets with constraints
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Mining Generalized Term Associations: Count Propagation Algorithm
Clustering event logs using iterative partitioning
Discovery of significant emerging trends
Ranking in Genealogy: Search Results Fusion at Ancestry
Scaling up text classification for large file systems
GA-Based Rule Enhancement in Concept Learning
Information theoretic regularization for semi-supervised boosting
Complementary Classifier Induced Partial Label Learning
CP-summary: a concise representation for browsing frequent itemsets
A parallel graph partitioning algorithm to speed up the large-scale distributed graph mining
Using Machine Learning to Detect Cancer Early
FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Anomaly detection and spatio-temporal analysis of global climate system
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems
SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining
Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance
QTNet: Theory-based Queue Length Prediction for Urban Traffic
Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research
Debiased Recommendation with Noisy Feedback
Safe Triplet Screening for Distance Metric Learning
Efficient decision tree construction on streaming data
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding
Attribute-Driven Backbone Discovery
Mining Temporally Changing Web Usage Graphs
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge
Hierarchical Attention Propagation for Healthcare Representation Learning
FAST-PPR: scaling personalized pagerank estimation for large graphs
Mining Databases with Different Schemas: Integrating Incompatible Classifiers
Towards Web-scale Recommendations with LLMs: From Quality-aware Ranking to Candidate Generation
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
Structure and evolution of online social networks
Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder
Importance Prioritized Policy Distillation
BBM: bayesian browsing model from petabyte-scale data
CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels
Evaluating Fairness Using Permutation Tests
Effective Audience Extension in Online Advertising
Transportation Marketplace Rate Forecast Using Signature Transform
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm
A multi-resolution approach to learning with overlapping communities
Deep Knowledge Discovery from Natural Language Texts
A Comparison of Pruning Methods for Relational Concept Learning
The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations
Name-ethnicity classification from open sources
Classification and Regression: Money *can* Grow on Trees
Fragile Earth: Generative and Foundational Models for Sustainable Development
From data to knowledge: city-wide traffic flows analysis and prediction using bing maps
Developing data mining applications
Effective Social Network-Based Allocation of COVID-19 Vaccines
Enhancing Domain Word Embedding via Latent Semantic Imputation
Multi-objective Optimization for Guaranteed Delivery in Video Service Platform
Query, analysis, and visualization of hierarchically structured data using Polaris
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
Travel time estimation of a path using sparse trajectories
A Multi-stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
User grouping behavior in online forums
Context-Aware Attentive Knowledge Tracing
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner
HiDF: A Human-Indistinguishable Deepfake Dataset
Inferring land use from mobile phone activity
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
Efficient discovery of error-tolerant frequent itemsets in high dimensions
Deep Encoders with Auxiliary Parameters for Extreme Classification
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems
Cross-relational clustering with user's guidance
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation
Multi-label classification by mining label and instance correlations from heterogeneous information networks
Large Scale Sentiment Learning with Limited Labels
CoMAL: Contrastive Active Learning for Multi-Label Text Classification
Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
Dynamic memory allocation policies for postings in real-time Twitter search
Learning to Extract Text-Based Information from the World Wide Web
Responsible AI Day
On the importance of temporal dynamics in modeling urban activity
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
dEFEND: Explainable Fake News Detection
Personalizing LinkedIn Feed
Event Detection from Time Series Data
Image Mining: Issues, Frameworks and Techniques
Proceedings of the First International KDD Workshop on Software Mining, SoftwareMining '12, Beijing, China, August 12, 2012
E-business enterprise data mining
Uplift Modeling with Generalization Guarantees
Visualization and interactive feature selection for unsupervised data
Simple and effective visual models for gene expression cancer diagnostics
The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
Quick Check: A Legal Research Recommendation System
Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy
Data Mining from Functional Brain Images
On Breaking Truss-Based Communities
Privacy-preserving social network publication against friendship attacks
Multi-label hypothesis reuse
Entity disambiguation with hierarchical topic models
Practical learning from one-sided feedback
IdeaBench: Benchmarking Large Language Models for Research Idea Generation
Optimal randomization for privacy preserving data mining
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
Beyond classification and ranking: constrained optimization of the ROI
Hubble: An Industrial System for Audience Expansion in Mobile Marketing
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)
Proceedings of the 6th international workshop on Multimedia data mining - mining integrated media and complex data, MDM 2005, Chicago, Illinois, USA, August 21, 2005
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems
Rank-loss support instance machines for MIML instance annotation
Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow
Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery
International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
An objective evaluation criterion for clustering
Collective Spammer Detection in Evolving Multi-Relational Social Networks
On string classification in data streams
CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
Data mining case study: modeling the behavior of offenders who commit serious sexual assaults
Tensor-CUR decompositions for tensor-based data
On the Reliability of Profile Matching Across Large Online Social Networks
Data Science and Entertainment Production
Detecting changes of clustering structures using normalized maximum likelihood coding
Mining mobility user profiles for car pooling
A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications
Extracting key-substring-group features for text classification
MOOCS: What Have We Learned?
Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations
Scalable pseudo-likelihood estimation in hybrid random fields
Improved robustness of signature-based near-replica detection via lexicon randomization
Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities
SEA: a system for event analysis on chinese tweets
Exploiting Background Knowledge in Automated Discovery
Learning binary codes for collaborative filtering
DyGKT: Dynamic Graph Learning for Knowledge Tracing
Similarity analysis on government regulations
Experiences and lessons in developing industry-strength machine learning and data mining software
CHIRP: a new classifier based on composite hypercubes on iterated random projections
Mining Electronic Health Records for Real-World Evidence
Visualizing Attributed Graphs via Terrain Metaphor
Understanding Negative Sampling in Graph Representation Learning
Prompt as a Double-Edged Sword: A Dynamic Equilibrium Gradient-Assigned Attack against Graph Prompt Learning
Traffic Measurement and Route Recommendation System for Mass Rapid Transit (MRT)
Clustering seasonality patterns in the presence of errors
Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments
Parsing to Programs: A Framework for Situated QA
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures
Online chinese restaurant process
Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers
Finding optimal parameters for edit distance based sequence classification is NP-hard
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
Distance queries from sampled data: accurate and efficient
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis
Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
Using Hyperlink Features to Personalize Web Search
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
17th International Workshop on Mining and Learning with Graphs (MLG)
Seq2Event: Learning the Language of Soccer Using Transformer-based Match Event Prediction
An Instructible Chemist-AI Alignment Framework for Generating Quaternary Ammonium Compound Structures
A Data-Driven Graph Generative Model for Temporal Interaction Networks
Probabilistic discovery of time series motifs
Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings
Information extraction, data mining and joint inference
Fast Approximation of Empirical Entropy via Subsampling
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments
Finding Favourite Tuples on Data Streams with Provably Few Comparisons
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation
Understanding Consumer Journey using Attention based Recurrent Neural Networks
The architecture of complexity: the structure and the dynamics of networks, from the web to the cell
A bayesian mixture model with linear regression mixing proportions
Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy
Large-scale Collaborative Ranking in Near-Linear Time
Urban Traffic Congestion Mapping Using Bus Mobility Data
Combining linguistic and statistical analysis to extract relations from web documents
Label Shift Correction via Bidirectional Marginal Distribution Matching
Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Audience Expansion for Online Social Network Advertising
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events
Corporate residence fraud detection
SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
From bias to opinion: a transfer-learning approach to real-time sentiment analysis
An enhanced relevance criterion for more concise supervised pattern discovery
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings
Harnessing the wisdom of the crowds for accurate web page clipping
Canada AI Day
DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery
Semi-supervised ranking on very large graphs with rich metadata
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration
FedVS: Towards Federated Vector Similarity Search with Filters
FaultInsight: Interpreting Hyperscale Data Center Host Faults
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning
Just One More: Modeling Binge Watching Behavior
Innovating with Language AI
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
Abductive Learning for Neuro-Symbolic Grounded Imitation
Rationale-based Human-in-the-Loop via Supervised Attention
Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
Web mining for e-commerce (workshop session - title only)
MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach
Structural Deep Network Embedding
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior
All in One: Multi-Task Prompting for Graph Neural Networks
Clustering and Classifying Enzymes in Metabolic Pathways: Some Preliminary Results
QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist
MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation
Tri-plots: scalable tools for multidimensional data mining
Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction
Ultrahyperbolic Knowledge Graph Embeddings
Co-Clustering based Dual Prediction for Cargo Pricing Optimization
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
A novel measure for validating clustering results applied to road traffic
Epidemic Forecasting with a Data-Centric Lens
Data Science Challenges @ LinkedIn
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications
Mining data records in Web pages
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
Adaptive adversaries: building systems to fight fraud and cyber intruders
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction
A semi-supervised approach for author disambiguation in KDD CUP 2013
From Code to Data: AI at Scale for Developer Productivity
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
Domain Adaptation in the Absence of Source Domain Data
Applying Large Language Model For Relevance Search In Tencent
Fine-tuning Multimodal Large Language Models for Product Bundling
Data Surveying: Foundations of an Inductive Query Language
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation
Multi-Variate Time Series Forecasting on Variable Subsets
Multi-class protein fold recognition using large margin logic based divide and conquer learning
TEMPER: Capturing Consistent and Fluctuating TEMPoral User Behaviour for EtheReum Phishing Scam Detection
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization
Intrusion as (anti)social communication: characterization and detection
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact)
Crowdsourcing with Contextual Uncertainty
Community finding within the community set space
Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning
A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui"
Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest
LAFT-Explorer: inferring, visualizing and predicting how your social network expands
Pairwise Comparisons with Flexible Time-Dynamics
Simultaneous record detection and attribute labeling in web data extraction
Is there a grand challenge or X-prize for data mining?
Rule interestingness analysis using OLAP operations
MIME: a framework for interactive visual pattern mining
A probabilistic framework for relational clustering
Real-time Event Detection for Emergency Response Tutorial
Fully decentralized computation of aggregates over data streams
DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025
Active-transductive learning with label-adapted kernels
Framing Algorithmic Recourse for Anomaly Detection
The 4th International Workshop on Talent and Management Computing (TMC'2023)
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation
Motif discovery for proteins using subsequence clustering
TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC
Graph-based Semi-Supervised & Active Learning for Edge Flows
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013
Extracting temporal signatures for comprehending systems biology models
Multi-label Learning with Highly Incomplete Data via Collaborative Embedding
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Fast Computation for the Forest Matrix of an Evolving Graph
Sentribute: image sentiment analysis from a mid-level perspective
AliGraph: A Comprehensive Graph Neural Network Platform
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency
Graph-Flashback Network for Next Location Recommendation
BLOSOM: a framework for mining arbitrary boolean expressions
Topic-time heatmaps for human-in-the-loop topic detection and tracking
Distributional Network of Networks for Modeling Data Heterogeneity
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
Information processing in social networks
TourViz: interactive visualization of connection pathways in large graphs