yusuke1997/dblp-id-title huggingface dataset:
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
Privacy-preserving Bayesian network structure computation on distributed heterogeneous data
Optimal exact least squares rank minimization
Frequent pattern mining with uncertain data
BoostCluster: boosting clustering by pairwise constraints
Distributed Local Outlier Detection in Big Data
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
GetJar mobile application recommendations with very sparse datasets
Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets
Adaptive Learning for Weakly Labeled Streams
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning
Visual data mining using principled projection algorithms and information visualization techniques
The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data
Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning
Attention and Memory-Augmented Networks for Dual-View Sequential Learning
FAQ: A Framework for Fast Approximate Query Processing on Temporal Data
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams
Probably the best itemsets
Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction
A Causality Inspired Framework for Model Interpretation
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation
Thumbs-Up: a game for playing to rank search results
Graphical models for data mining
Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
Scalable Link Recommendation for Influence Maximization
GEM: Translation-Free Zero-Shot Global Entity Matcher for Global Catalogs
Deep Search Relevance Ranking in Practice
A Deep Learning Method for Route and Time Prediction in Food Delivery Service
Partial Classification Using Association Rules
Straddling the Boundary between Contribution and Solution Driven Science
One theme in all views: modeling consensus topics in multiple contexts
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?
Embedding-based Retrieval in Facebook Search
CRO : a system for online review structurization
Debiasing social wisdom
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML
Query-time entity resolution
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners
Different slopes for different folks: mining for exceptional regression models with cook's distance
MinJoin: Efficient Edit Similarity Joins via Local Hash Minima
TV Advertisement Scheduling by Learning Expert Intentions
FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems
Robust Object Detection Fusion Against Deception
Humans, Jobs, and the Economy: The Future of Finance in the Age of Big Data
Social networks: looking ahead
Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
A Survey on Safe Multi-Modal Learning Systems
Making every bit count: fast nonlinear axis scaling
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
Dynamic Modeling and Forecasting of Time-evolving Data Streams
Multi-facet Contextual Bandits: A Neural Network Perspective
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering
Deep Learning of High-Order Interactions for Protein Interface Prediction
Discovery of multi-level rules and exceptions from a distributed database
Mining rare and frequent events in multi-camera surveillance video using self-organizing maps
2PXMiner: an efficient two pass mining of frequent XML query patterns
Scalable Pattern Matching over Compressed Graphs via Dedensification
Estimating Cellular Goals from High-Dimensional Biological Data
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis
Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
USpan: an efficient algorithm for mining high utility sequential patterns
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value
On-line science: the world-wide telescope as a prototype for the new computational science
Clenshaw Graph Neural Networks
ConciseExplain: Reducing Redundancy and Spuriousness in Persuasive Recommendation Explanation
How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis
SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization
Image Similarity Using an Ensemble of Context-Sensitive Models
Practical Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems
Mining frequent closed graphs on evolving data streams
A Recursive Markov Boundary-Based Approach to Causal Structure Learning
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective
PinnerFormer: Sequence Modeling for User Representation at Pinterest
Towards a What-If System for Point-Of-Interest Categorisation
Artificial Intelligence for Drug Discovery
User Engagement in Mobile Health Applications
Imputation of Missing Data Using Machine Learning Techniques
Maximizing the spread of influence through a social network
Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction
Discovering Functional Dependencies from Mixed-Type Data
Product Ecosystem Optimization at LinkedIn
Discovering Significant Patterns under Sequential False Discovery Control
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
Learning Reliable and Intuitive Temporal Logic Rules for Interpretable Time Series Classification
Scalable Hierarchical Clustering with Tree Grafting
Learning Causal Effects on Hypergraphs
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning
Lossless Separation of Web Pages into Layout Code and Data
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation
RankFormer: Listwise Learning-to-Rank Using Listwide Labels
Path-based Explanation for Knowledge Graph Completion
Efficient Discovery of Time Series Motifs under both Length Differences and Warping
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
PET: a statistical model for popular events tracking in social communities
Fragile Earth: Accelerating Progress towards Equitable Sustainability
Combining link and content for community detection: a discriminative approach
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees
From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior
Information environment security
Core-periphery Models for Hypergraphs
Instant Graph Neural Networks for Dynamic Graphs
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- n Recommendation
Pruning-Aware Merging for Efficient Multitask Inference
Event detection from evolution of click-through data
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
Coping with Sparsity in a Recommender System
Automatic Controllable Product Copywriting for E-Commerce
No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods
Revisiting Power-law Distributions in Spectra of Real World Networks
Targeted Topic Modeling for Focused Analysis
Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery
On "one of the few" objects
Modeling human location data with mixtures of kernel densities
Annealed Sparsity via Adaptive and Dynamic Shrinking
Towards never-ending learning from time series streams
Partitioned logistic regression for spam filtering
PSSketch: Finding Persistent and Sparse Flow with High Accuracy and Efficiency
Social networks integration and privacy preservation using subgraph generalization
Distributed Collaborative Hashing and Its Applications in Ant Financial
Active learning for sparse bayesian multilabel classification
STAR: A System for Ticket Analysis and Resolution
Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
E-commerce Search via Content Collaborative Graph Neural Network
Dynamic Matrix Factorization with Priors on Unknown Values
Fed2: Feature-Aligned Federated Learning
Effective localized regression for damage detection in large complex mechanical structures
AI4DE: The 1st International Workshop on AI for Data Editing
Discovering Technical Traders in the T-bond Futures Market
Truth Discovery against Strategic Sybil Attack in Crowdsourcing
Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data
Physics-infused Machine Learning for Crowd Simulation
Direct Marketing Response Models Using Genetic Algorithms
Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction
Keyword-propagation-based information enriching and noise removal for web news videos
Distortion as a validation criterion in the identification of suspicious reviews
Multi-class Text Classification using BERT-based Active Learning
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis
The role of game theory in human computation systems
Mining Features for Sequence Classification
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification
Fast bregman divergence NMF using taylor expansion and coordinate descent
Correlation Networks for Extreme Multi-label Text Classification
Data-driven Automatic Treatment Regimen Development and Recommendation
Genome Paleontology: Discoveries from Complete Genomes
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
Deep Graph Kernels
Pre-trained Language Model based Ranking in Baidu Search
Flexible constrained spectral clustering
Scaling Graph Neural Networks with Approximate PageRank
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features
Empower an End-to-end Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science
Intelligent advertising framework for digital signage
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning
Using physicochemical properties of amino acids to induce graphical models of residue couplings
On Sampling Strategies for Neural Network-based Collaborative Filtering
Ordering patterns by combining opinions from multiple sources
PLP 2021: Workshop on Programming Language Processing
Contrastive Meta-Learning for Few-shot Node Classification
Effective AOI-level Parcel Volume Prediction: When Lookahead Parcels Matter
Shared Execution of Clustering Tasks
Fairness in Machine Learning for Healthcare
Socially Responsible Machine Learning: A Causal Perspective
Focusing on the Long-term: It's Good for Users and Business
Cooled-KLL: Enhancing Quantile Estimation by Filtering Hot Item
Scalable diffusion-aware optimization of network topology
LIPED: HMM-based life profiles for adaptive event detection
Adaptive Paywall Mechanism for Digital News Media
Aligning Superhuman AI with Human Behavior: Chess as a Model System
An Intuitive User Interface for Human-in-the-loop Entity Name Parsing and Entity Variant Generation
BAYDA: Software for Bayesian Classification and Feature Selection
FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environment
A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint
One-Pass Ranking Models for Low-Latency Product Recommendations
Generalizing Graph ODE for Learning Complex System Dynamics across Environments
Skinny-dip: Clustering in a Sea of Noise
A case study of behavior-driven conjoint analysis on Yahoo!: front page today module
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification
Sequential PAttern mining using a bitmap representation
Targeted Data-driven Regularization for Out-of-Distribution Generalization
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Forecasting the Evolution of Hydropower Generation
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
Rotation invariant distance measures for trajectories
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
High-quantile modeling for customer wallet estimation and other applications
Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits
Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection
Schema Discovery for Semistructured Data
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
User-Driven Navigation Pattern Discovery from Internet Data
Combining latent factor model with location features for event-based group recommendation
Multi-factor Sequential Re-ranking with Perception-Aware Diversification
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners
Advances in Web Mining and Web Usage Analysis, 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers
Classification features for attack detection in collaborative recommender systems
Decision support in the booming e-world (invited talk, abstract only)
IncSpan: incremental mining of sequential patterns in large database
Summarization-based mining bipartite graphs
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning
Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data
Towards Fair Truth Discovery from Biased Crowdsourced Answers
BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems
Generating Mobility Trajectories with Retained Data Utility
Introducing perpetual analytics
Get another label? improving data quality and data mining using multiple, noisy labelers
IDentity with Locality: An Ideal Hash for Gene Sequence Search
Simple and Automatic Distributed Machine Learning on Ray
From Tweets to Stories: Using Stream-Dashboard to weave the twitter data stream into dynamic cluster models
Probabilistic frequent itemset mining in uncertain databases
Identifying tourists from public transport commuters
The Interingness of Deviations
Instance Weighting for Patient-Specific Risk Stratification Models
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Transparent user models for personalization
Open standards and cloud computing: KDD-2009 panel report
Device-cloud Collaborative Recommendation via Meta Controller
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
Information cartography: creating zoomable, large-scale maps of information
A Robust System Architecture for Mining Semi-Structured Data
Identifying biologically relevant genes via multiple heterogeneous data sources
A multi-class boosting method with direct optimization
ADMIT: anomaly-based data mining for intrusions
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data
DCA-Bench: A Benchmark for Dataset Curation Agents
User Sentiment as a Success Metric: Persistent Biases Under Full Randomization
Choosing a Proxy Metric from Past Experiments
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
Inferring gas consumption and pollution emission of vehicles throughout a city
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval
Embedding Prior Task-specific Knowledge into Language Models for Context-aware Document Ranking
ControlBurn: Feature Selection by Sparse Forests
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes
SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions
PlanMine: Sequence Mining for Plan Failures
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
On-device Chatbot System using SuperChat Method on Raspberry Pi and CNN Domain Specific Accelerator
Text Mining in Clinical Domain: Dealing with Noise
Redundancy based feature selection for microarray data
Predicting Estimated Time of Arrival for Commercial Flights
Discrete Ranking-based Matrix Factorization with Self-Paced Learning
Neural Memory Streaming Recommender Networks with Adversarial Training
Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions
Adaptive Disentangled Transformer for Sequential Recommendation
GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks
A Local Algorithm for Structure-Preserving Graph Cut
EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search
Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications
Anomaly Detection for Spatiotemporal Data in Action
ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes
Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement
Toward Graph Minimally-Supervised Learning
Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction
FlexiReg: Flexible Urban Region Representation Learning
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification
Interactive exploration of very large relational datasets through 3D dynamic projections
Targeting and influencing at scale: from presidential elections to social good
Knowledge transfer via multiple model local structure mapping
Clustering by synchronization
Representative clustering of uncertain data
Semi-supervised Multi-view Clustering with Active Constraints
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009
Conversational Dueling Bandits in Generalized Linear Models
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
Efficient search for association rules
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
Towards trusted intelligence information sharing
Efficient and domain-invariant competitor mining
Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer!
Phoenix: Privacy Preserving Biclustering on Horizontally Partitioned Data
An empirical analysis of techniques for constructing and searching k-dimensional trees
Streamed approximate counting of distinct elements: beating optimal batch methods
New Frontiers of Multi-Network Mining: Recent Developments and Future Trend
PAM: Understanding Product Images in Cross Product Category Attribute Extraction
ToolSQL: A Tool-Assisted Agent for SQL Verification and Refinement
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
FedMultimodal: A Benchmark for Multimodal Federated Learning
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Logical-shapelets: an expressive primitive for time series classification
TWIN: Personalized Clinical Trial Digital Twin Generation
Frequent Subgraph Discovery in Large Attributed Streaming Graphs
Heterogeneous Graph Neural Network
Frigate: Frugal Spatio-temporal Forecasting on Road Networks
Scalable Hierarchical Agglomerative Clustering
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework
WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System
Diversity maximization under matroid constraints
Fast Density Estimation Using CF-Kernel for Very Large Databases
A time-dependent topic model for multiple text streams
Distributed multivariate regression based on influential observations
Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm
Unfolding physiological state: mortality modelling in intensive care units
Contrastive Antichains in Hierarchies
Modeling the dynamics of composite social networks
Double Correction Framework for Denoising Recommendation
Graph Edge Partitioning via Neighborhood Heuristic
Evolutionary clustering
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
Personalized Query Auto-Completion for Long and Short-Term Interests with Adaptive Detoxification Generation
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network
Monitoring Least Squares Models of Distributed Streams
Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
GBASE: a scalable and general graph management system
Efficient closed pattern mining in the presence of tough block constraints
Style Recognition Using Keyword Analysis
Fighting a Pandemic: Convergence of Expertise, Data Science and Policy
Scalable and near real-time burst detection from eCommerce queries
Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization
Sparse Compositional Local Metric Learning
Automated Local Regression Discontinuity Design Discovery
A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization
Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks
How Interpretable and Trustworthy are GAMs?
Architecting a knowledge discovery engine for military commanders utilizing massive runs of simulations
Predicting Serves in Tennis using Style Priors
SILO: Semantic Integration for Location Prediction with Large Language Models
BC-PDM: data mining, social network analysis and text mining system based on cloud computing
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising