yusuke1997/dblp-id-title huggingface dataset:
Rethinking Pruning for Accelerating Deep Inference At the Edge
Malicious Attacks against Deep Reinforcement Learning Interpretations
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
From mining the web to inventing the new sciences underlying the internet
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Inferring Demographic Attributes of Anonymus Internet Users
Training Large-scale Foundation Models on Emerging AI Chips
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach
Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks
Boosting performance of bio-entity recognition by combining results from multiple systems
ML4S: Learning Causal Skeleton from Vicinal Graphs
Large-Scale Network Embedding in Apache Spark
Who to follow and why: link prediction with explanations
WAPS, a Data Mining Support Environment for the Planning of Warranty and Goodwill Costs in the Automobile Industry
Chromatic correlation clustering
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
Medicine in the age of electronic health records
CCCS: a top-down associative classifier for imbalanced class distribution
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph
Bootstrapping for Batch Active Sampling
Inference Optimization of Foundation Models on AI Accelerators
TinyGNN: Learning Efficient Graph Neural Networks
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback
U 2 SOD-DB: a database system to manage large-scale ubiquitous urban sensing origin-destination data
Community discovery and profiling with social messages
Drug-target interaction prediction for drug repurposing with probabilistic similarity logic
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning
How to Count Triangles, without Seeing the Whole Graph
Sketch-Based Anomaly Detection in Streaming Graphs
AdKDD 2022
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Data Mining for Security Applications and Its Privacy Implications
Divide-and-conquer and statistical inference for big data
Learning Limited Dependence Bayesian Classifiers
Multi-Class Data Description for Out-of-distribution Detection
A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability
The 5th Artificial Intelligence of Things (AIoT) Workshop
Adversarial classification
Mining recent temporal patterns for event detection in multivariate time series data
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Data Sketching for Real Time Analytics: Theory and Practice
Value-based data mining and web mining for CRM
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Distributed Optimization for Big Data Analytics: Beyond Minimization
Preserving Integrity in Online Social Media
Information retrieval based on collaborative filtering with latent interest semantic map
Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness
A general framework for accurate and fast regression by data summarization in random decision trees
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
DuIVA: An Intelligent Voice Assistant for Hands-free and Eyes-free Voice Interaction with the Baidu Maps App
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
Large-Scale Training System for 100-Million Classification at Alibaba
AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing
Anarchists, Unite: Practical Entropy Approximation for Distributed Streams
Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
Tutorial: Data Mining Methods for Drug Discovery and Development
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
GiGL: Large-Scale Graph Neural Networks at Snapchat
Fast clustering using MapReduce
Support feature machine for classification of abnormal brain activity
A Bayesian Approach to In-Game Win Probability in Soccer
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating
Privacy-Preserved Neural Graph Databases
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
A component-based framework for knowledge discovery in bioinformatics
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data
Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Towards NIC-based intrusion detection
Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics
KeySee: supporting keyword search on evolving events in social streams
A reputation system for selling human computation
Proceedings of the Second International Workshop on Multimedia Data Mining, MDM/KDD'2001, August 26th, 2001, San Francisco, CA, USA
Multi-focal learning and its application to customer service support
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
Collaborative Variational Autoencoder for Recommender Systems
Long-memory time series ensembles for concept shift detection
Selecting Features by Vertical Compactness of Data
An Engagement-Based Customer Lifetime Value System for E-commerce
Scale Space Exploration for Mining Image Information Content
Automated 3D Pre-Training for Molecular Property Prediction
Mining Optimized Gain Rules for Numeric Attributes
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health
Ad quality on TV: predicting television audience retention
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics
k-TTP: a new privacy model for large-scale distributed environments
Extremely Compact Non-local Representation Learning
MAD: Multicriteria Anomaly Detection of Suspicious Financial Accounts from Billions of Cash Transactions
FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services
Uncovering Pattern Formation of Information Flow
D-INDEX: a web environment for analyzing dependences among scientific collaborators
A GPU-tailored approach for training kernelized SVMs
Efficient personalized pagerank with accuracy assurance
Space missions & sensor networking: challenging scenarios
On the Role of Statistical Significance in Exploratory Data Analysis
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Communication Efficient Distributed Newton Method with Fast Convergence Rates
Mining high-speed data streams
Incorporating Concept Hierarchies into Usage Mining Based Recommendations
Interactive deduplication using active learning
An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance
Generating non-redundant association rules
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning
Revisiting Cognition in Neural Cognitive Diagnosis
RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery
Evaluation of prediction models for marketing campaigns
Capillary Dataset: A Dataset of Nail-fold Capillaries Captured by Microscopy for Diabetes Detection
CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval
Reciprocity in Social Networks with Capacity Constraints
Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being
The Quest Data Mining System
Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System
Phenological event detection from multitemporal image data
Downscaling Earth System Models with Deep Learning
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Storytelling in entity networks to support intelligence analysts
Mining partially annotated images
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization
Scaling Transformers for Discriminative Recommendation via Generative Pretraining
Uplift Modelling via Gradient Boosting
Efficient and Effective Implicit Dynamic Graph Neural Network
Dynamic Pricing for Airline Ancillaries with Customer Context
Toward Explainable Deep Anomaly Detection
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011
Relation Extraction via Domain-aware Transfer Learning
Linear Time Samplers for Supervised Topic Models using Compositional Proposals
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers
SIGMa: simple greedy matching for aligning large knowledge bases
Matrix Computations and Optimization in Apache Spark
Machine Learning for Consumers and Markets
Large human communication networks: patterns and a utility-driven generator
Pattern-Miner: integrated management and mining over data mining models
Efficient event pattern matching with match windows
Automated Pattern Mining with a Scale Dimension
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising
SPF-GMKL: generalized multiple kernel learning with a million kernels
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
SIPping from the Data Firehose
CluChunk: clustering large scale user-generated content incorporating chunklet information
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music
Integration of profile hidden Markov model output into association rule mining
Automatic labeling of multinomial topic models
MOSS: Multi-Objective Optimization for Stable Rule Sets
On the Merits of Building Categorization Systems by Supervised Clustering
Style mining of electronic messages for multiple authorship discrimination: first results
After the gold rush (invited talk, abstract only): data mining in the new economy (invited talk, abstract only)
Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions
A Data Mining Framework for Valuing Large Portfolios of Variable Annuities
Toward personalized care management of patients at risk: the diabetes case study
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005
Incorporating heterogeneous information for personalized tag recommendation in social tagging systems
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
Information extraction from Wikipedia: moving down the long tail
Jointly Learning to Recommend and Advertise
TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks
Constructing and mining web-scale knowledge graphs: KDD 2014 tutorial
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
Reverse testing: an efficient framework to select amongst classifiers under sample selection bias
Dataset Condensation for Time Series Classification via Dual Domain Matching
Multi-graph Multi-label Learning with Dual-granularity Labeling
A self organizing map (SOM) extended model for information discovery in a digital library context
Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data
Enhancing Generalization in Large-Scale HCVRP: A Rank-Augmented Neural Solver
Data Sparsity Issues in the Collaborative Filtering Framework
k-NN as an implementation of situation testing for discrimination discovery and prevention
OBOE: Collaborative Filtering for AutoML Model Selection
Generalized clustering, supervised learning, and data assignment
Hyperbolic Distance Matrices
Going In-Depth: Finding Longform on the Web
A framework for ontology-driven subspace clustering
Constrained Social Community Recommendation
Estimating missed actual positives using independent classifiers
Statistically sound pattern discovery
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
Finding recent frequent itemsets adaptively over online data streams
Learning patterns in the dynamics of biological networks
Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations
Matryoshka Model Learning for Improved Elastic Student Models
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Semantic relation extraction with kernels over typed dependency trees
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation
The persuasive phase of visualization
Multimedia Mining of Collaborative Virtual Workspaces: An Integrative Framework for Extracting and Integrating Collaborative Process Knowledge
Simple yet Effective Graph Distillation via Clustering
Boost the Performance of Tabular Data Models with GPU Accelerated Feature Engineering
Connecting users across social media sites: a behavioral-modeling approach
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting
CompilerDream: Learning a Compiler World Model for General Code Optimization
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
On discovery of maximal confident rules without support pruning in microarray data
Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods
Quantifying herding effects in crowd wisdom
Mining scale-free networks using geodesic clustering
A Multi-Task Learning Formulation for Survival Analysis
Fast and exact network trajectory similarity computation: a case-study on bicycle corridor planning
Learning Supplementary NLP Features for CTR Prediction in Sponsored Search
Modeling professional similarity by mining professional career trajectories
S 2 phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
Building Continuous Integration Services for Machine Learning
Data mining using high performance data clouds: experimental studies using sector and sphere
High-throughput Protein Interactome Data: Minable or Not?
From Zero to AI Hero with Automated Machine Learning
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022)
An integrated system for automatic customer satisfaction analysis in the services industry
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017
Enhancing Contrastive Learning on Graphs with Node Similarity
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis
CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest
Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform
SDREGION: Fast Spotting of Changing Communities in Biological Networks
Unexpected challenges in large scale machine learning
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning
2D similarity kernels for biological sequence classification
KDD 2025 Workshop on Prompt Optimization
The Surprising Victory of NLP: From Philosophy to Agentic Language Models
Utilizing Purchase Intervals in Latent Clusters for Product Recommendation
Personalized Image Retrieval with Sparse Graph Representation Learning
Robust Data-Driven Auction Design
Towards Test Time Adaptation via Calibrated Entropy Minimization
SOS: Score-based Oversampling for Tabular Data
First Workshop on Generative AI for Recommender Systems and Personalization
Active sampling for entity matching
Gaining insights into support vector machine pattern classifiers using projection-based tour methods
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Graph Anomaly Detection with Few Labels: A Data-Centric Approach
Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
Extracting collective probabilistic forecasts from web games
Interaction-driven opinion dynamics in online social networks
Aggregating time partitions
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI
Co-clustering on manifolds
FLAG: Fraud Detection with LLM-enhanced Graph Neural Network
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Adversarial Robustness in Deep Learning: From Practices to Theories
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
Improved Active Covering via Density-Based Space Transformation
ROD: Reception-aware Online Distillation for Sparse Graphs
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
Towards mobility-based clustering
Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project
TimeCrunch: Interpretable Dynamic Graph Summarization
Optimizing search engines using clickthrough data
Reconstructing Textual Documents from n-grams
Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook
Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns
Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning
Global partial orders from sequential data
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
NASA: achieving lower regrets and faster rates via adaptive stepsizes
Investigating Cognitive Effects in Session-level Search User Satisfaction
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns
Robust space transformations for distance-based operations
Using a Knowledge Cache for Interactive Discovery of Association Rules
Factorization Bandits for Online Influence Maximization
Contextual rule-based feature engineering for author-paper identification
Simultaneous feature and feature group selection through hard thresholding
Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
KESO: Minimizing Database Interaction
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence
Learning from Multiple Teacher Networks
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods
Anonymity-preserving data collection
Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes
Incremental Lossless Graph Summarization
The Future of Artificially Intelligent Assistants
Large-scale behavioral targeting
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
Following the electrons: methods for power management in commercial buildings
Federated Tensor Factorization for Computational Phenotyping
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering
Parallel community detection on large networks with propinquity dynamics
Heat kernel based community detection
Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling
Applications of a Logical Discovery Engine
Efficient Latent Link Recommendation in Signed Networks
Leveraging Propagation for Data Mining: Models, Algorithms and Applications
Space-efficient sampling from social activity streams
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
Efficient ticket routing by resolution sequence mining
Multi-Label Learning to Rank through Multi-Objective Optimization
A similarity measure for motion stream segmentation and recognition
PSLOG: Pretraining with Search Logs for Document Ranking
Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), Virtual Workshop, August 24, 2020
Entity Matching across Heterogeneous Sources
BusTr: Predicting Bus Travel Times from Real-Time Traffic
Automated Discovery of Active Motifs in Multiple RNA Secondary Structures
Bayesian Causal Inference for Real World Interactive Systems
Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets
Real-time Personalization using Embeddings for Search Ranking at Airbnb
Accelerating Exact k -means Algorithms with Geometric Reasoning
Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination
NetLSD: Hearing the Shape of a Graph
DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing
Improving the Information Disclosure in Mobility-on-Demand Systems
Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services
Understanding and Tackling Over-Dilution in Graph Neural Networks
Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 2013
Beyond heuristics: learning to classify vulnerabilities and predict exploits
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples
Learning on Graphs with Out-of-Distribution Nodes
Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design
Is the Whole Greater Than the Sum of Its Parts?
Algorithmic Fairness on Graphs: Methods and Trends
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond
VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting