yusuke1997/dblp-id-title huggingface dataset:
SAE: social analytic engine for large networks
Kronecker Attention Networks
Semi-supervised time series classification
Making Temporal Betweenness Computation Faster and Restless
Trust network inference for online rating data using generative models
A multiple tree algorithm for the efficient association of asteroid observations
The mathematics of causal inference
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Multiplex Heterogeneous Graph Convolutional Network
Forecasting Interaction Order on Temporal Graphs
3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
Revisiting sequential pattern hiding to enhance utility
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI
A human-computer cooperative system for effective high dimensional clustering
Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping
Seven Years of Data Science at Airbnb
A New Delay Differential Equation Model for COVID-19
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization
AliBoost: Ecological Boosting Framework in Alibaba Platform
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
Time-Series Anomaly Detection Service at Microsoft
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU
Identifying bridging rules between conceptual clusters
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Document clustering via dirichlet process mixture model with feature selection
Discriminative clustering for market segmentation
Scalable inference in max-margin topic models
Path Complex Neural Networks for Sequential Process Activities Classification
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
Navigating massive data sets via local clustering
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data
Hypergraph Convolutional Recurrent Neural Network
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning
Discovering the hidden structure of house prices with a non-parametric latent manifold model
Edge AI: Systems Design and ML for IoT Data Analytics
JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework
Link prediction with social vector clocks
Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning
HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification
Localized factor models for multi-context recommendation
Learning Sleep Quality from Daily Logs
Using Self-supervised Learning Can Improve Model Fairness
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
Adapting Pretrained Representations for Text Mining
Generative models for rapid information propagation
An integrated framework on mining logs files for computing system management
OcVFDT: one-class very fast decision tree for one-class classification of data streams
Proceedings of the 11th International Workshop on Data Mining in Bioinformatics, BIOKDD 2012, Beijing, China, August 12, 2012
Contextual Motifs: Increasing the Utility of Motifs using Contextual Data
Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews
Active Templates: Comprehensive Support for the Knowledge Discovery Process
The Child is Father of the Man: Foresee the Success at the Early Stage
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Mining topics in documents: standing on the shoulders of big data
21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022)
Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing
Medical Entity Relation Verification with Large-scale Machine Reading Comprehension
On the privacy of anonymized networks
Peeking at A/B Tests: Why it matters, and what to do about it
Discovering informative content blocks from Web documents
Exploration of Simulation Experiments by Discovery
Patient Subtyping via Time-Aware LSTM Networks
Algorithms for mining uncertain graph data
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs
Microscopic evolution of social networks
EMBERS AutoGSR: Automated Coding of Civil Unrest Events
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
Data mining challenges in the automotive domain
Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction
Efficient elastic burst detection in data streams
Adaptive Website Design Using Caching Algorithms
Unsupervised Network Discovery for Brain Imaging Data
Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach
Contrastive Cross-scale Graph Knowledge Synergy
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD '10, Washington, D.C., USA, July 25, 2010
Accelerated Quantification of Bayesian Networks with Incomplete Data
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias
FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning
Estimation of urban commuting patterns using cellphone network data
Blurred Encoding for Trajectory Representation Learning
Combining Estimators to Improve Performance
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization
Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow
The setwise stream classification problem
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity
Discovering value from community activity on focused question answering sites: a case study of stack overflow
Incremental Cognitive Diagnosis for Intelligent Education
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling
Scaling Multinomial Logistic Regression via Hybrid Parallelism
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Causal Machine Learning for Cost-Effective Allocation of Development Aid
Augmenting Recurrent Graph Neural Networks with a Cache
Alphacore: Data Depth based Core Decomposition
On detecting differences between groups
Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network
ADtrees for Fast Counting and for Fast Learning of Association Rules
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
DarkDistill: Difficulty-Aligned Federated Early-Exit Network Training on Heterogeneous Devices
Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Releasing Private Data for Numerical Queries
Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives
Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW
Frontiers of Graph Neural Networks with DIG
Physics-Guided AI for Large-Scale Spatiotemporal Data
Talent Circle Detection in Job Transition Networks
Warm Start for Parameter Selection of Linear Classifiers
Optimizing Airbnb Search Journey with Multi-task Learning
Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques
Enhancer: A Distribution-Aware Framework with Temporal-Relational Meta-Learning for Stock Prediction
RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search
Building Forecasting Solutions Using Open-Source and Azure Machine Learning
Predicting prostate cancer recurrence via maximizing the concordance index
Deep Natural Language Processing for Search and Recommender Systems
Harnessing the Human in Knowledge Discovery
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems
Unveiling Mode Connectivity in Graph Neural Network
Predicting customer shopping lists from point-of-sale purchase data
Variational Graph Author Topic Modeling
Critical event prediction for proactive management in large-scale computer clusters
Topic Modeling of Short Texts: A Pseudo-Document View
Interactive learning for efficiently detecting errors in insurance claims
Visualization in Data Science VDS @ KDD 2022
Optimizing parallel belief propagation in junction treesusing regression
CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction
Dense Subgraph Discovery Meets Strong Triadic Closure
Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
FS-REAL: Towards Real-World Cross-Device Federated Learning
Clustering Individual Transactional Data for Masses of Users
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Improving data mining utility with projective sampling
Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers
Mining the Most Interesting Rules
Graph Condensation for Open-World Graph Learning
Ensembles and model delivery for tax compliance
GPFedRec: Graph-Guided Personalization for Federated Recommendation
Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation
GNN-SKAN: Advancing Molecular Representation Learning with SwallowKAN
A Practical Exploration System for Search Advertising
Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools
Connecting the dots between news articles
Anomaly Detection with Score Distribution Discrimination
A large-scale analysis of query logs for assessing personalization opportunities
Multi-Cast Attention Networks
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
Advancing Molecule Invariant Representation via Privileged Substructure Identification
Web-Scale Responsive Visual Search at Bing
A new multi-view regression approach with an application to customer wallet estimation
A quickstart in frequent structure mining can make a difference
STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments
Scaling Machine Learning and Statistics for Web Applications
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets
FIRST: Fast Interactive Attributed Subgraph Matching
Algorithms for storytelling
Generative Next POI Recommendation with Semantic ID
Learning mixed kronecker product graph models with simulated method of moments
Analysis of advanced meter infrastructure data of water consumption in apartment buildings
HeteRecom: a semantic-based recommendation systemin heterogeneous networks
Learning geographical preferences for point-of-interest recommendation
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Privacy-Preserving Data Mining through Knowledge Model Sharing
Feedback-Guided Anomaly Discovery via Online Optimization
How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking
Sharing is Caring: A Practical Guide to FAIR(ER) Open Data Release
COMET: NFT Price Prediction with Wallet Profiling
Fast and scalable polynomial kernels via explicit feature maps
Learning Autoregressive Model in LSM-Tree based Store
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
Causal Understanding of Fake News Dissemination on Social Media
Fair Labeled Clustering
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty
Interactive Knowledge Discovery from Marketing Questionnaire Using Simulated Breeding and Inductive Learning Methods
Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system
Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data
Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics
Contrastive Learning for User Sequence Representation in Personalized Product Search
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
Representing Temporal Attributes for Schema Matching
A framework for a video analysis tool for suspicious event detection
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability
Time-Aware User Embeddings as a Service
Finding Spread Blockers in Dynamic Networks
A generalized metric distance between hierarchically partitioned images
Learning Bayesian Networks with Discrete Variables from Data
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction
Estimating sharer reputation via social data calibration
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond
Using Motif Transitions for Temporal Graph Generation
Detecting protein complexes from noisy protein interaction data
Email alias detection using social network analysis
The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012
PatentMiner: topic-driven patent analysis and mining
Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity Recognition
Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach
Towards social imagematics: sentiment analysis in social multimedia
An Application Of Data Mining In Detection Of Myocardial Ischemia Utilizing Pre- And Post-Stress Echo Images
Reasoning-Enhanced Object-Centric Learning for Videos
An efficient algorithm for weak hierarchical lasso
Parallel Predictor Generation
Leakage in data mining: formulation, detection, and avoidance
Robust Deep Learning Methods for Anomaly Detection
Approximating the Spectrum of a Graph
Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility
Client Clustering for Hiring Modeling in Work Marketplaces
Finding Meta Winning Ticket to Train Your MAML
An online system with end-user services: mining novelty concepts from tv broadcast subtitles
Website Optimization Problem and Its Solutions
Finding contexts of social influence in online social networks
Pairwise Sample Complexity for Fair Active Ranking with Cascaded Norm Objectives
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network
HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks
The Pinterest Approach to Machine Learning
Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning
Augmenting MATLAB with semantic objects for an interactive visual environment
Pattern lattice traversal by selective jumps
Deep Anomaly Detection with Deviation Networks
Online Parameter Selection for Web-based Ranking Problems
Privacy-preserving Class Ratio Estimation
Learning From Networks: Algorithms, Theory, and Applications
2nd Workshop on End-End Customer Journey Optimization
Adaptive Message Update for Fast Affinity Propagation
Gas Concentration Reconstruction for Coal-Fired Boilers Using Gaussian Process
Supervised clustering via principal component analysis in a retrieval application
GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation
Adversarial Feature Translation for Multi-domain Recommendation
Scaling Clustering Algorithms to Large Databases
SCAN: a structural clustering algorithm for networks
Shared challenges in data mining and computational biology (abstract of invited talk)
Similarity search in real world networks
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data
Approximate Matrix Multiplication over Sliding Windows
Learning Dynamics of Decision Boundaries without Additional Labeled Data
Discovering Links Between Lexical and Surface Features in Questions and Answers
Data mining with sparse grids using simplicial basis functions
A Unified Invariant Learning Framework for Graph Classification
Multi-Aspect Dense Retrieval
Hierarchical difference scatterplots interactive visual analysis of data cubes
Efficient handling of high-dimensional feature spaces by randomized classifier ensembles
The Discovery of Logical Propositions in Numerical Data
Distributed Personalization
OpenTag: Open Attribute Value Extraction from Product Profiles
2nd International Workshop on Industrial Recommendation Systems (IRS)
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants
High-order Proximity Preserving Information Network Hashing
Large-scale distributed non-negative sparse coding and sparse dictionary learning
A refinement approach to handling model misfit in text categorization
Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems
Meta optimization and its application to portfolio selection
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
Intelligible models for classification and regression
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
GCoT: Chain-of-Thought Prompt Learning for Graphs
Activity analysis based on low sample rate smart meters
Knowledge discovery and data mining in pharmaceutical cancer research
Social influence based clustering of heterogeneous information networks
Discovering Predictive Association Rules
Probabilistic Label Tree for Streaming Multi-Label Learning
Handling Varied Objectives by Online Decision Making
Representation Learning of Geometric Trees
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
Local Motif Clustering on Time-Evolving Graphs
Architectural Support for Data Mining
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models
Collusion in the U.S. crop insurance program: applied data mining
Scalable similarity search with optimized kernel hashing
Cost-effective outbreak detection in networks
Map Generation from Large Scale Incomplete and Inaccurate Data Labels
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
Learning to Estimate the Travel Time
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
Mining contentions from discussions and debates
Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City
Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering
Text-based measures of document diversity
LaDe: The First Comprehensive Last-mile Express Dataset from Industry
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths
NEON: Living Needs Prediction System in Meituan
Petuum: A New Platform for Distributed Machine Learning on Big Data
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach
Inferring human activities from GPS tracks
Geocode Matching and Privacy Preservation
Data mining with differential privacy
An adaptive nearest neighbor search for a parts acquisition ePortal
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion
Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation
MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding
Dynamic syslog mining for network failure monitoring
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Flexible and robust co-regularized multi-domain graph clustering
Representation Learning for Predicting Customer Orders
Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains
MDP2 Forest: A Constrained Continuous Multi-dimensional Policy Optimization Approach for Short-video Recommendation
The next generation of transportation systems, greenhouse emissions, and data mining
HeavyLocker: Lock Heavy Hitters in Distributed Data Streams
An Application of KEFM to the Analysis of Healthcare Information
The quantification of advertising: (+ lessons from building businesses based on large scale data mining)
Can You Teach the Elephant to Dance? AKA: Culture Eats Data Science for Breakfast
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Multiple domain user personalization
Multi-view clustering using mixture models in subspace projections
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery
Hancock: a language for extracting signatures from data streams
Exploiting large-scale check-in data to recommend time-sensitive routes
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Rethinking Order Dispatching in Online Ride-Hailing Platforms
Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data
How to Define Searching Sessions on Web Search Engines
Time and sample efficient discovery of Markov blankets and direct causal relations
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive
Single-shot detection of multiple categories of text using parametric mixture models
Article clipper: a system for web article extraction
A Bayesian Learning Algorithm of Discrete Variables for Automatically Mining Irregular Features of Pattern Images
Performing Effective Feature Selection by Investigating the Deep Structure of the Data
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation