yusuke1997/dblp-id-title huggingface dataset:
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry
Privacy-preserving data exploration in genome-wide association studies
Visualizing Bagged Decision Trees
Context-aware Outstanding Fact Mining from Knowledge Graphs
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms
Personalization from incomplete data: what you don't know can hurt
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing
WIT: Workshop on deriving Insights from user-generated Text
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC
Leveraging Twitter to better identify suicide risk
Real-time anomaly detection system for time series at scale
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Influence at Scale: Distributed Computation of Complex Contagion in Networks
Learning Certifiably Optimal Rule Lists
On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness
Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting
Semantic visualization for spherical representation
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Optimising Budget Management via Primal-Dual Approximation with Constrained Polynomial Weights Update
On the use of linear programming for unsupervised text classification
Exploiting Student Parallelism for Low-latency GPU Inference of BERT-like Models in Online Services
Associative Classifiers for Medical Images
SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its Evaluation
Perspectives on Broadening Participation in STEM Careers across Academia, Government, and Industry
A rank sum test method for informative gene discovery
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction
Collaborative Deep Learning for Recommender Systems
Dependency clustering across measurement scales
ChatPD: An LLM-driven Paper-Dataset Networking System
Evaluating the crowd with confidence
Internet Device Graphs
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
Delta-SimRank computing on MapReduce
INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression
Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla
Multilingual Taxonomic Web Page Classification for Contextual Targeting at Yahoo
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
Enhanced max margin learning on multimodal data mining in a multimedia database
Semantic Search in Millions of Equations
Panther: Fast Top-k Similarity Search on Large Networks
Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation's Advanced Detection System (RADS)
An iterative hypothesis-testing strategy for pattern discovery
Efficient algorithms for mining constrained frequent patterns from uncertain data
Efficient Correlated Topic Modeling with Topic Embedding
Comprehensive Fair Meta-learned Recommender System
Combining proactive and reactive predictions for data streams
Discovering important nodes through graph entropy the case of Enron email database
Incremental quantile estimation for massive tracking
Prioritized Restreaming Algorithms for Balanced Graph Partitioning
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Scalable distributed inference of dynamic user interests for behavioral targeting
The 6th Workshop on e-eommerce and NLP (ECNLP 6)
Time-dependent event hierarchy construction
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
Surveying the complementary role of automatic data analysis and visualization in knowledge discovery
Advances in Social Network Mining and Analysis, Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers
Large-scale high-precision topic modeling on twitter
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition
Node Classification Beyond Homophily: Towards a General Solution
Robust Learning by Self-Transition for Handling Noisy Labels
Grocery shopping recommendations based on basket-sensitive random walk
An Adaptive Sensor Mining Framework for Pervasive Computing Applications
Inferring networks of diffusion and influence
Practical Synthetic Human Trajectories Generation Based on Variational Point Processes
Collective Fraud Detection Capturing Inter-Transaction Dependency
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries
Business Applications of Predictive Modeling at Scale
Data Mining by Business Users: Integrating Data Mining in Business Processes
Globalized bipartite local model for drug-target interaction prediction
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
Learning Opinion Dynamics From Social Traces
Automated Machine Learning & Tuning with FLAML
Intelligent Agents with LLM-based Process Automation
System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications
Feedback Shaping: A Modeling Approach to Nurture Content Creation
Scalable Time-Decaying Adaptive Prediction Algorithm
Knock it off: profiling the online storefronts of counterfeit merchandise
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
Online novelty detection on temporal sequences
Feature selection for support vector regression using probabilistic prediction
An Online Multi-task Learning Framework for Google Feed Ads Auction Models
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis
Proceedings of the 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2004), August 22th, 2004, Seattle, Washington, USA
Proceedings of the 7th Workshop on Social Network Mining and Analysis, SNAKDD 2013, Chicago, IL, USA, August 11, 2013
Guided learning for role discovery (GLRD): framework, algorithms, and applications
Adversary Resistant Deep Neural Networks with an Application to Malware Detection
Mining knowledge-sharing sites for viral marketing
Multi-way set enumeration in real-valued tensors
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms
Using Friendship Ties and Family Circles for Link Prediction
Counterfactual Fairness Through Transforming Data Orthogonal to Bias
Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling
Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases
InMacs: Interactive modeling and comparison of sentiments from sequence data
Axiomatic ranking of network role similarity
TopNet: Learning from Neural Topic Model to Generate Long Stories
Entropy-based Subspace Clustering for Mining Numerical Data
Brand advertising, on-line audiences, and social media: invited talk
Using Dynamic Time Warping to Find Patterns in Time Series
Model Monitoring in Practice: Lessons Learned and Open Challenges
Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 2000, Boston, Massachusetts, USA, August 20-23, 2000
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis
Algorithms, Data, Hardware and Tools: A Perfect Storm
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup
SECRET: a scalable linear regression tree algorithm
Bursty and hierarchical structure in streams
Efficient Processing of Network Proximity Queries via Chebyshev Acceleration
Mining positive and negative patterns for relevance feature discovery
Anticipating annotations and emerging trends in biomedical literature
Tell me something I don't know: randomization strategies for iterative data mining
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Data Glitches Discovery using Influence-based Model Explanations
Spatially Compact Dense Block Mining in Spatial Tensors
Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial
MM-Path: Multi-modal, Multi-granularity Path Representation Learning
Combining file content and file relations for cloud based malware detection
Optimizing Cluster-based Randomized Experiments under Monotonicity
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning
MARK: a boosting algorithm for heterogeneous kernel models
Subscriber classification within telecom networks utilizing big data technologies and machine learning
Comprehensive Information Integration Modeling Framework for Video Titling
Ask to Know More: Generating Counterfactual Explanations for Fake Claims
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer
Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation
Geometric Policy Iteration for Markov Decision Processes
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
Discovering lag intervals for temporal dependencies
Geo-Spatial Clustering with User-Specified Constraints
Magical thinking in data mining: lessons from CoIL challenge 2000
Discovering Pollution Sources and Propagation Patterns in Urban Area
Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Learning to Relate to Previous Turns in Conversational Search
Real world performance of association rule algorithms
Frequent-subsequence-based prediction of outer membrane proteins
Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability Program
Mining Lesion-Deficit Associations in a Brain Image Database
Estimation of Recent Ancestral Origins of Individuals on a Large Scale
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003
Clustering Sequences of Complex Objects
From Facts to Rules to Decisions: An Overview of the FRD-1 System
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data
A Minimax Game for Instance based Selective Transfer Learning
Exploiting High Dimensionality in Big Data
PSkip: estimating relevance ranking quality from web search clickthrough data
Iterative Weak Learnability and Multiclass AdaBoost
Categorization of Financial Transactions in QuickBooks
Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework
Inductive Modeling for Realtime Cold Start Recommendations
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling
Applying data mining techniques to address disaster information management challenges on mobile devices
KDD Process Planning
Accelerating Antimicrobial Peptide Discovery with Latent Structure
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
Simple and deterministic matrix sketching
Rule and Visual Content-Based Indexing
Class-specific error bounds for ensemble classifiers
AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Enhancing Collaborative Filtering with Generative Augmentation
Workshop on Data-Efficient Machine Learning (DeMaL)
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system
Semantic Product Search
Time-to-Event Modeling with Hypernetwork based Hawkes Process
Semantic indexing and temporal rule discovery for time-series sattelite images
Unsupervised Bayesian visualization of high-dimensional data
Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining
Demand-Aware Charger Planning for Electric Vehicle Sharing
Modeling the evolution of discussion topics and communication to improve relational classification
Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions
Extracting Support Data for a Given Task
Automatic record linkage using seeded nearest neighbour and support vector machine classification
Self-Adaptive Perturbation Radii for Adversarial Training
NudgeRank: Digital Algorithmic Nudging for Personalized Health
Kernel Assisted Learning for Personalized Dose Finding
Hyperbolic Neural Networks: Theory, Architectures and Applications
Meta Graph Learning for Long-tail Recommendation
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak
EBES: Easy Benchmarking for Event Sequences
A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization
Knowledge Discovery and Data Mining: Towards a Unifying Framework
RareBench: Can LLMs Serve as Rare Diseases Specialists?
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
A Fast and Robust BERT-based Dialogue State Tracker for Schema Guided Dialogue Dataset
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations
Translation-invariant mixture models for curve clustering
Mining citizen science data to predict orevalence of wild bird species
Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades
Cross-language information retrieval using PARAFAC2
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems
Bid landscape forecasting in online ad exchange marketplace
Mining product reputations on the Web
WiseMarket: a new paradigm for managing wisdom of online social users
SwitchTop- k : Scaling Top- k Compression on Programmable Switches
Building a Knowledge Graph for Recommending Experts
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data
Mammography Classification By an Association Rule-based Classifier
Density-Based Indexing for Approximate Nearest-Neighbor Queries
Discovery of Relevant New Features by Generating Non-Linear Decision Trees
Creating Recommender Systems Datasets in Scientific Fields
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data
Isolation Set-Kernel and Its Application to Multi-Instance Learning
How Machine Learning has Finally Solved Wanamaker's Dilemma
Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNAKDD 2009, Paris, France, June 28, 2009
An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Invariant Preference Learning for General Debiasing in Recommendation
Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model
Batch mode active sampling based on marginal probability distribution matching
Spectrum-Guided Adversarial Disparity Learning
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities
The new iris data: modular data generators
Turning CARTwheels: an alternating algorithm for mining redescriptions
WEBKDD 2002 - MiningWeb Data for Discovering Usage Patterns and Profiles, 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers
Federated Continual Graph Learning
Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering
Finding Counterfactual Evidences for Node Classification
Multimedia Data Mining Framework For Raw Video Sequences
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
A Study of Support Vectors on Model Independent Example Selection
Combo-Attention Network for Baidu Video Advertising
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach
Bid Optimization by Multivariable Control in Display Advertising
The predictive power of online chatter
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Tripoles: A New Class of Relationships in Time Series Data
CASA: Clustered Federated Learning with Asynchronous Clients
ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models
MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting
Adaptive Unsupervised Feature Selection on Attributed Networks
A framework for classification and segmentation of massive audio data streams
Mining a stream of transactions for customer patterns
Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs
Predicting Optimal Facility Location without Customer Locations
Discovering spatio-temporal causal interactions in traffic data streams
Learning to Recommend Visualizations from Data
Pangloss: Fast Entity Linking in Noisy Text Environments
GraphWiz: An Instruction-Following Language Model for Graph Computational Problems
A Linear Method for Deviation Detection in Large Databases
Statistical Arbitrage Mining for Display Advertising
A Visual Interactive Framework for Attribute Discretization
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems
International Workshop on Knowledge Graphs: Open Knowledge Network
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
An Empirical Study on Recommendation with Multiple Types of Feedback
A comparison of SNOTEL and AMSR-E snow water equivalent datasets in western U.S. watersheds
Overlapping experiment infrastructure: more, better, faster experimentation
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013
Sentiment expression conditioned by affective transitions and social forces
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches
On Interpretation of Network Embedding via Taxonomy Induction
Adaptive Influence Maximization
Auto-Bidding in Real-Time Auctions via Oracle Imitation Learning
Effective global approaches for mutual information based feature selection
CONFIDE: Contextual Finite Difference Modelling of PDEs
Prediction-time Efficient Classification Using Feature Computational Dependencies
TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
Training and Meta-Training Binary Neural Networks with Quantum Computing
Unsupervised feature selection for principal components analysis
Enhancing Microservices Anomaly Detection via Multimodal Data Fusion in the Wavelet Domain and Spatiotemporal Graph-based Diffusion Probabilistic Model
Page Hunt: using human computation games to improve web search
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting
3rd Workshop on Causal Inference and Machine Learning in Practice
The Third Workshop on Applied Machine Learning Management
Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting
How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis
Machine Unlearning in Gradient Boosting Decision Trees
TOPTRAC: Topical Trajectory Pattern Mining
Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
Unsupervised Plan Detection with Factor Graphs
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining
The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics
Counterfactual Phenotyping with Censored Time-to-Events
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices
A Data Mining Support Environment and its Application on Insurance Data
Learning Network-to-Network Model for Content-rich Network Embedding
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Algorithmic Cartography: Placing Points of Interest and Ads on Maps
Roll of Unified Graph Analysis Platforms
Efficient multidimensional data representations based on multiple correspondence analysis
A multiversion model for multimedia data warehouse
An Interactive Environment for Kansei Data Mining
Dynamic Localisation of Spatial-Temporal Graph Neural Network
Multivariate discretization of continuous variables for set mining
Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
A data modeling approach to climate change attribution
Pythia: AI-assisted Code Completion System
SAME but Different: Fast and High Quality Gibbs Parameter Estimation
Future Impact Decomposition in Request-level Recommendations
Balancing Consistency and Disparity in Network Alignment
Differentially private transit data publication: a case study on the montreal transportation system
Scalable heterogeneous translated hashing
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data
Causal Models for Real Time Bidding with Repeated User Interactions
CutAddPaste: Time Series Anomaly Detection by Exploiting Abnormal Knowledge
Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes
Summarizing itemset patterns using probabilistic models
Large Language Models: Architecture and Training. From Next-Word Prediction to Reasoning
Harnessing Influence Function in Explaining Graph Neural Networks