yusuke1997/dblp-id-title huggingface dataset:
Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
Crowdsourced time-sync video tagging using temporal and personalized topic modeling
T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling
Regression-based latent factor models
DiMaC: a disguised missing data cleaning tool
Detecting Bursts of Activity in Telecommunications
EMD-Period: Detecting Multi-periodicity in Industrial Cloud Clusters via Time-Frequency Decomposition
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings
Local decomposition for rare class analysis
DBMiner: A System for Mining Knowledge in Large Relational Databases
A Generalized Backward Compatibility Metric
Bi-Modal Learning for Networked Time Series
Interdependent Causal Networks for Root Cause Localization
TV predictor: personalized program recommendations to be displayed on SmartTVs
Efficient Algorithms for Discovering Association Rules
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
Efficient Implementation of Data Cubes Via Materialized Views
Combining Data Mining and Machine Learning for Effective User Profiling
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records
Inductive Semi-supervised Multi-Label Learning with Co-Training
Efficient Maximum Clique Computation over Large Sparse Graphs
Internet advertising and optimal auction design
Enhanced visualization of time series through higher fourier harmonics
Alpine: Partial Unlabeled Graph Alignment
When image indexing meets knowledge discovery
A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario
Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners
Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Fair Representation Learning: An Alternative to Mutual Information
Reinforcement Learning for Trading Systems and Portfolios
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
Evaluating the Interestingness of Characteristic Rules
From active towards InterActive learning: using consideration information to improve labeling correctness
From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation
Customer lifetime value modeling and its use for customer retention planning
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams
An efficient algorithm for a class of fused lasso problems
Latent Network Summarization: Bridging Network Embedding and Summarization
Location-aware publish/subscribe
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images
Point-of-Interest Demand Modeling with Human Mobility Patterns
Incremental Causal Graph Learning for Online Root Cause Analysis
Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space
Attack detection in time series for recommender systems
Partially labeled topic models for interpretable text mining
Enhancing Digital Forensics Evidence Analysis with Large Language Models
Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers
The Future of Data Integration
Leveraging Relational Graph Neural Network for Transductive Model Ensemble
Q-Learning Lagrange Policies for Multi-Action Restless Bandits
Multi-level Matching Network for Multimodal Entity Linking
Off-policy Learning for Multiple Loggers
OpinionMiner: a novel machine learning system for web opinion mining and extraction
I want to answer; who has a question?: Yahoo! answers recommender system
Hierarchical cluster analysis of SAGE data for cancer profiling
Rosetta: Large Scale System for Text Detection and Recognition in Images
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices
Multi-period Learning for Financial Time Series Forecasting
Cinema Data Mining: The Smell of Fear
Efficient End-to-end Language Model Fine-tuning on Graphs
Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons
Robust Tree-based Learned Vector Index with Query-aware Repartitioning
Non-Linear Mining of Social Activities in Tensor Streams
ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis
Fourth Workshop on Personalization and Recommendations in Search (PaRiS)
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
Minimizing Hitting Time between Disparate Groups with Shortcut Edges
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models
What's the code?: automatic classification of source code archives
Graph Wavelets via Sparse Cuts
Sharing Learned Models among Remote Database Partitions by Local Meta-Learning
Counterfactual Video Recommendation for Duration Debiasing
Hierarchical topic segmentation of websites
RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Discovering significant relaxed order-preserving submatrices
MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance
HoloViz: Visualization and Interactive Dashboards in Python
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers
Unleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens
Opportunity map: identifying causes of failure - a deployed data mining system
Circle-based recommendation in online social networks
Memory Placement Techniques for Parallel Association Mining
Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality
Extracting social events for learning better information diffusion models
Scalable Differentially Private Clustering via Hierarchically Separated Trees
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
Identifying early buyers from purchase data
GeoSearch: georeferenced video retrieval system
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces
Constant-factor approximation algorithms for identifying dynamic communities
Joint Graph Embedding and Alignment with Spectral Pivot
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
Data Heterogeneity Modeling for Trustworthy Machine Learning
From Word-prediction to Complex Skills: Compositional Thinking and Metacognition in LLMs
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines
Content-driven trust propagation framework
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems
Evaluating Mobile Apps with A/B and Quasi A/B Tests
Integrating feature and instance selection for text classification
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
UniERF: A Uniform Embedding-based Retrieval Framework for E-commerce Search
Zeta: A Global Method for Discretization of Continuous Variables
Large scale data analysis and modelling in online services and advertising
DEMON: a local-first discovery method for overlapping communities
Differentiable Pattern Set Mining
Network Density of States
Dynamics of conversations
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window
SpotLight: Detecting Anomalies in Streaming Graphs
Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning
Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Limits on Learning Machine Accuracy Imposed by Data Quality
Feature Selection for Network Intrusion Detection
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Successful customer relationship management in financial applications (tutorial PM-1)
SkyTree: scalable skyline computation for sensor data
A Spectral Representation of Networks: The Path of Subgraphs
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Mining web logs: applications and challenges
The Field Matching Problem: Algorithms and Applications
Learning and Interpreting Complex Distributions in Empirical Data
Price prediction and insurance for online auctions
Visual exploration of categorical and mixed data sets
Introduction to Computer Vision and Real Time Deep Learning-based Object Detection
Efficient algorithms for constructing decision trees with constraints
Adversarial learning
Predicting Temporal Sets with Deep Neural Networks
Selecting a comprehensive set of reviews
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013
Data Science for Financial Applications
iPARAS: Incremental Construction of Parameter Space for Online Association Mining
IoT Big Data Stream Mining
CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents
Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting
Towards anytime active learning: interrupting experts to reduce annotation costs
Cross-Validation for Longitudinal Datasets with Unstable Correlations
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
LiPM: Foundation Model for Lithium-Ion Battery Analysis
Generalizable Graph Prompt Learning Framework with Model-level Prompt Injection and Two-Stage Prompt Tuning
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective
LCARS: a location-content-aware recommender system
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability
Understandable models Of music collections based on exhaustive feature generation with temporal statistics
Targeting Business Users with Decision Table Classifiers
Prediction with Local Patterns using Cross-Entropy
Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems
Mining large-scale, sparse GPS traces for map inference: comparison of approaches
ComRecycle: An Intelligent Computation Recycling Framework for Online Advertising
Adversaries with Limited Information in the Friedkin-Johnsen Model
Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
Matching Restaurant Menus to Crowdsourced Food Data: A Scalable Machine Learning Approach
A parallel learning algorithm for text classification
Non-stationary A/B Tests
AdKDD 2021
Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation
Probabilistic workflow mining
An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss
Towards fine-grained urban traffic knowledge extraction using mobile sensing
UP-Growth: an efficient algorithm for high utility itemset mining
SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data
Finding a team of experts in social networks
Visualizing concept drift
Benchmarking Graph Foundation Models
Molecular Inverse-Design Platform for Material Industries
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers
Multi-Objective Recommendations
Large linear classification when data cannot fit in memory
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
On the Formation of Circles in Co-authorship Networks
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization
Mining Association Rules with Multiple Minimum Supports
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection
Intelligent file scoring system for malware detection from the gray list
A taxi business intelligence system
International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers
FASTEN: Fast Sylvester Equation Solver for Graph Mining
Persona Identification in E-Commerce with Scarce Labels and In-Context Graph Learning
Using Association Rules for Product Assortment Decisions: A Case Study
Efficient Progressive Sampling
Online allocation of display advertisements subject to advanced sales contracts
TSC: A Simple Two-Sided Constraint against Over-Smoothing
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
A Statistical Perspective On Knowledge Discovery In Databases
A case study in a recommender system based on purchase data
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Benchmarking and Advancing Large Language Models for Local Life Services
Density-based clustering for real-time stream data
Visualizing association rules with interactive mosaic plots
Quantifying and Estimating the Predictability Upper Bound of Univariate Numeric Time Series
Learning from Incomplete and Inaccurate Supervision
M 2 -MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure
Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation
Correlated itemset mining in ROC space: a constraint programming approach
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data
Testing the significance of spatio-temporal teleconnection patterns
DICE: A Discovery Environment Integrating Inductive Bias
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Drosophila gene expression pattern annotation using sparse features and term-term interactions
Short term performance forecasting in enterprise systems
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases
Direct out-of-memory distributed parallel frequent pattern mining
Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media Platforms
Learning sparse metrics via linear programming
A scalable modular convex solver for regularized risk minimization
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
Shrinkage Estimators in Online Experiments
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model
Decision Tree Induction: How Effective is the Greedy Heuristic?
Robust principal component analysis via capped norms
FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking
Incremental Anomaly Detection Approach for Characterizing Unusual Profiles
Federated Graph Learning with Structure Proxy Alignment
DNet: Distributional Network for Distributional Individualized Treatment Effects
Measuring and extracting proximity in networks
Nine real hard problems we'd like you to solve
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs
On Estimating the Swapping Rate for Categorical Data
The Adaptive Use of Count-Min Sketch: What is Safe and What is Not?
Machine Learning Explainability and Robustness: Connected at the Hip
3rd Workshop on Online and Adaptive Recommender Systems (OARS)
Tracking the Dynamics in Crowdfunding
The 9th SIGKDD International Workshop on Mining and Learning from Time Series
Towards Learning Disentangled Representations for Time Series
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization
Fast and Effective Text Mining Using Linear-Time Document Clustering
Detecting adversarial advertisements in the wild
Analyze influenza virus sequences using binary encoding approach
From Tables to Knowledge: Recent Advances in Table Understanding
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning
Deploying Machine Learning Models for Public Policy: A Framework
Speeding up large-scale learning with a social prior
Automated Audience Segmentation Using Reputation Signals
Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
Cold start link prediction
Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing
Web object indexing using domain knowledge
Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling
Shopping for top forums: discovering online discussion for product research
Agentic AI for Enterprise: Emerging Applications and Real-world Challenges
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
Explicit Feature Interaction-aware Uplift Network for Online Marketing
Pattern Directed Mining of Sequence Data
Predicting Annual Length-Of-Stay and its Impact on Health
Unweaving a web of documents
Clustering Techniques for Large Data Sets - from the Past to the Future
Adjusting for Multiple Comparisons in Decision Tree Pruning
Topic-factorized ideal point estimation model for legislative voting network
Event detection in activity networks
Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream
Entity discovery and assignment for opinion mining applications
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
New Algorithms for Fast Discovery of Association Rules
On Sampling Top-K Recommendation Evaluation
Efficient Sparse Linear Bandits under High Dimensional Data
Learning Causal Networks from Episodic Data
Large-scale adaptive semi-supervised learning via unified inductive and transductive model
Potholes vs. Speed Bumps: A Multivariate Time Series Classification Approach
Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach
DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification
Using Approximations to Scale Exploratory Data Analysis in Datacubes
A datamining approach to cell population deconvolution from gene expressions using particle filters
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction
A Dual Markov Chain Topic Model for Dynamic Environments
Subset Node Representation Learning over Large Dynamic Graphs
Network Interdiction Goes Neural
E-CAST: A Data Mining Algorithm for Gene Expression Data
Robust NLP for Finance (RobustFin)
Twitter volume spikes: analysis and application in stock trading
Quick Access: Building a Smart Experience for Google Drive
A Representation Learning Framework for Property Graphs
NxtPost: User To Post Recommendations In Facebook Groups
Hate Speech Detection with Generalizable Target-aware Fairness
Identifiability of Cause and Effect using Regularized Regression
Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories
A learning algorithm for string assembly
Experiments in social computation: (and the data they generate)
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft
Efficiently learning the accuracy of labeling sources for selective sampling
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
An efficient causal discovery algorithm for linear models
From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions
GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
To buy or not to buy: mining airfare data to minimize ticket purchase price
Clustering very large multi-dimensional datasets with MapReduce
Looper: An End-to-End ML Platform for Product Decisions
Group-based Fraud Detection Network on e-Commerce Platforms
Privacy-preserving outsourcing support vector machines with random transformation
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification
Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data
Sustainable operation and management of data center chillers using temporal data mining
Column-generation boosting methods for mixture of kernels
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System
Event-based social networks: linking the online and offline social worlds
Multi-task learning for boosting with application to web search ranking
The Community of Multimedia Agents
Community Detection based on Distance Dynamics
Summarizing probabilistic frequent patterns: a fast approach
Compute Job Memory Recommender System Using Machine Learning
Detecting anomalous records in categorical datasets
Unveiling clusters of events for alert and incident management in large-scale enterprise it
A model for discovering customer value for E-content
Cascade Ranking for Operational E-commerce Search
Measuring Model Complexity of Neural Networks with Curve Activation Functions
Causal Inference via Style Transfer for Out-of-distribution Generalisation
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery
Deep Generative Models for Spatial Networks