yusuke1997/dblp-id-title huggingface dataset:
Corporate Renewable Procurement Analytics
Approximations for High Dimensional Commodity and Energy Merchant Operations Models
Performance Improvement in Health Care Organizations
Linking Commodity Price Risk and Operations: Evidence from the Gold Mining Industry
Optimal Newsvendor IRM with Downside Risk
The Term Structure of Optimal Operations
A Framework for Global Natural Disasters Response: The Example of the United States Navy
On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains
Value Games
Multi-Objective Assortment Optimization: Profit, Risk, Customer Utility, and Beyond
Introduction and Conceptual Overview of Contents
Blockchain and other Distributed Ledger Technologies in Operations
A Data-Driven Approach to Optimize Surgical Instrument Trays
Production, Capacity, and Liquidity of a Self-Financed Firm
Coping with Errors in Organizations: Challenges, Opportunities, and Frontiers for Operations Management Research
Renewable Identification Numbers: A Supply-Chain Risk View
Outsourcing as a Risk Management Mechanism for Domestic Manufacturing Capacity Investment
Managing Inventory for a Multidivisional Firm with Cash Pooling
An Operations Management Perspective on Design Thinking
From Project Management to Team Integration: Key Issues in the Management of the Human Resource in Projects
Reverse Factoring: A Theory on the Value of Payment Terms Extension
RFID and the Internet of Things: Technology, Applications, and Security Challenges
Specific Capacity Investment in Supply Chains With Renegotiation
Advances in Supply Chain Finance and FinTech Innovations Overview
Open Source Software: A Survey from 10, 000 Feet
Managing Supply Chain Disruptions
Management Systems Standards: Diffusion, Impact and Governance of ISO 9000, ISO 14000, and Other Management Standards
Introduction to the Special Issue on Integrated Risk Management in Supply Chains
Changes in Consumers' Shopping Channel Preferences Impacted by COVID-19 Pandemic
Humanitarian Logistics: A New Field of Research and Action
Managing Supply Risk in Fixed Price Contracts: A Contingent Claims Perspective
Data Sharing in Innovations
A Cournot-Stackelberg Model of Supply Contracts with Financial Hedging and Identical Retailers
The Interaction between Operational Flexibility and Financial Flexibility
Budget Allocations for Public Health Procurement
Quadratic Hedging of Commodity and Energy Cash Flows
Production Planning with Inventory-Based Financing
Sequential Decision Analytics and Modeling: Modeling with Python - Part II
Financial Incentives to Avoid Major Quality Problems in a Supply Chain
Empowering Economic Growth: Government Loans for Supply Chains in Emerging Markets
Blockchain-Based Digital Payment Obligations for Trade Finance
Impact of Trade Credit Financing on Firm Performance in Supply Chains
Worker Productivity in Operations Management
Crowdfunding Adoption in the Presence of Word-of-Mouth Communication
The U.S. Information Economy: Value, Employment, Industry Structure, and Trade
Capacity Planning in the Cloud Computing Industry Under Time and Demand Uncertainties
Debt Financing and Supply Chain Capacity Investment
Behavioral Operations Management
Last-mile Supply Network Distribution in Omnichannel Retailing: A Configuration-Based Typology
Matching Supply and Demand for Hospital Services
Inventory and Financial Strategies with Capital Constraints and Limited Joint Liability
Designing Effective Supply Chains in Strategic Alignment with Demand Characteristics and Market Requirements
The Structure of Global Supply Chains: The Design and Location of Sourcing, Production, and Distribution Facility Networks for Global Markets
Purchase Order Finance: A Conceptual Model with Economic Insights
Using Laboratory Experiments to Build Better Operations Management Models
Guarantor Financing Selection Under Influence of Supply Chain Leadership and Economies of Scale
Financing Suppliers under Performance Risk
Leveraging Social Media for COVID-19 Response: Insights from a Data Competition
Cash Beer Game
Decision Intelligence for Healthcare Decarbonization
Intervention-based Research in Operations Management
Trade Credit in Supply Chains: Multiple Creditors and Priority Rules
Long-Term Service Agreement in Power Systems
Corn, Soybeans or Fallow: Dynamic Farmland Allocation under Uncertainty
Coordination Problems in Platform Markets Under Uncertainty
Unveiling the Data Potential - Navigating the Data Revolution for Improved Patient Care
Cultural Research in the Production and Operations Management Field
Data and Risk Analytics for Production Planning
Fishing for Value (Anchovies Are Not Just for Pizza)
Integrated Production Planning and Risk Hedging
Agency Cost of Debt: A Case for Supplier Financing
Inventory Management: Modeling Real-life Supply Chains and Empirical Validity
Management Accounting Information Properties and Operations Management
Inside the Organizational Learning Curve: Understanding the Organizational Learning Process
Testing as a Control Mechanism for Emerging Epidemics
Financing Inventory Through Initial Coin Offerings (ICOs)
Predictive Global Sensitivity Analysis: Foundational Concepts, Tools, and Applications
Real Options and Merchant Operations of Energy and Other Commodities
Operations in Financial Services: Processes, Technologies, and Risks
Introduction to the Special Issue on Supply Chain Finance
Investments in Lead-Time Reduction: How to Finance and How to Implement
Disruption Mitigation and Pricing Flexibility
Managing Disruption Risk Over the Product Life Cycle
Sequential Decision Analytics and Modeling: Modeling with Python - Part I
Port Inter-Organizational Information Systems: Capabilities to Service Global Supply Chains
Risk Management in Commodity Processing Firms
From Filing and Fitting to Flexible Manufacturing: A Study in the Evolution of Process Control
Designing and Controlling the Outsourced Supply Chain
Disruption Risk Management in Serial Multi-Echelon Supply Chains
Optimizing Service Encounters: A Co-productive, Experiential, and People-centric Approach
From Art to Science in Manufacturing: The Evolution of Technological Knowledge
Key Lessons from the COVID-19 Pandemic
AI and Business Models: The Good, The Bad and The Ugly
Crowdfunding via Revenue-Sharing Contracts
#ThisisPublicHealth - The Seed of an Idea That Has Grown Into a Forest of Possibilities
Material and Cash Flow in Two-Tier Supply Chain with Trade Credits and Defaults
Modeling, Prediction, Assortment and Price Optimization Under Consumer Choice Behavior
Operations Revenue Insurance
The Impact of Commodity Price Uncertainty on the Economic Value of Waste-to-Energy Conversion in Agricultural Processing
Robust Project Scheduling
Supply Chain Transparency and Sustainability
Quantity Discounts: An Overview and Practical Guide for Buyers and Sellers
Trade Credit as an Option to Acquire Financing
Barriers to Seeking Mental Health Care in Rural Communities: An Empirical Exploration in Minnesota and Wisconsin
Value of Reverse Factoring under Make-to-Order Production Environments
Achieving Efficiency in Capacity Procurement
The Interface of Finance, Operations, and Risk Management
The Business of Electric Vehicles: A Platform Perspective
The Economic Foundations of Supply Chain Contracting
R-OO-KASE: Revocable Online/Offline Key Aggregate Searchable Encryption
A Supply-Demand Balance Guided Hierarchical Reinforcement Learning Approach for Truck-Cargo Matching
Smart Intra-query Fault Tolerance for Massive Parallel Processing Databases
Graph-Enhanced Prompt Learning for Personalized Review Generation
Effective Medical Visual Question Answering Using Dynamic Prompting and Decoding Knowledge Editing
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
Distance-Aware Selective Online Query Processing Over Large Distributed Graphs
Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval
RDF-F: RDF Datatype inFerring Framework - Towards Better RDF Document Matching
Blocking Techniques for Entity Linkage: A Semantics-Based Approach
Software-Defined Storage-Based Data Infrastructure Supportive of Hydroclimatology Simulation Containers: A Survey
Efficient Top-k Frequent Itemset Mining on Massive Data
An Efficient Keywords Search in Temporal Social Networks
Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention
DeepECT: The Deep Embedded Cluster Tree
Mapping Entity Sets in News Archives Across Time
Local Weighted Matrix Factorization for Top-n Recommendation with Implicit Feedback
Deep Learning for User Interest and Response Prediction in Online Display Advertising
Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs
Dynamic Index Construction with Deep Reinforcement Learning
A Neural Inference of User Social Interest for Item Recommendation
Special Issue of DASFAA 2018
Special Issue of APWeb-WAIM 2018
A Quantum Framework for Combinatorial Optimization Problem over Graphs
Context-Based Resilience in Cyber-Physical Production System
A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval
A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support
Approximate Query Processing: What is New and Where to Go? - A Survey on Approximate Query Processing
Time-Dependent Graphs: Definitions, Applications, and Algorithms
Towards Automatic Mathematical Exercise Solving
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling
Data-Intensive Modelling and Simulation in Life Sciences and Socio-economical and Physical Sciences - Contributions from the Coordinated Work in cHiPSet, the COST Action on High-Performance Modelling and Simulation for Big Data Applications
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live"
Reordering Transaction Execution to Boost High-Frequency Trading Applications
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
Special Issue Editorial
A Survey on the Integration of Blockchains and Databases
ESPRESSO: A Framework to Empower Search on the Decentralized Web
Fine-Grained Access Control Within NoSQL Document-Oriented Datastores
Image Preprocessing in Classification and Identification of Diabetic Eye Diseases
Dual Sequence Modeling for Knowledge Tracing
Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis
Rethinking the Denoising Strategy in Session-Based Recommendation via Bidirectional Information Flow
Homomorphic Pattern Mining from a Single Large Data Tree
Special Issue of DASFAA 2019
Scaling Word2Vec on Big Corpus
A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers
An Adaptive Elastic Multi-model Big Data Analysis and Information Extraction System
IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis
Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction
Provenance for Wireless Sensor Networks: A Survey
Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data
An Exploratory Study on Information Cocoon in Recommender Systems
Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation
Evolving Interest with Feature Co-action Network for CTR Prediction
A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation
PosKHG: A Position-Aware Knowledge Hypergraph Model for Link Prediction
Enhancing Robustness in Long-Tailed Image Classification with Angular Approaches and Balanced Learning
A Workload-Adaptive Streaming Partitioner for Distributed Graph Stores
Private Blocking Technique for Multi-party Privacy-Preserving Record Linkage
A Crowd-Powered Task Generation Method for Study of Struggling Search
Landmark-Based Route Recommendation with Crowd Intelligence
Clusterix-Like BigData DBMS
A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
A Survey of Personalized News Recommendation
Exploring Means to Enhance the Efficiency of GPU Bitmap Index Query Processing
Formal Modelling of Data Integration Systems Security Policies
Construct Trip Graphs by Using Taxi Trajectory Data
Representation Learning in Multi-view Clustering: A Literature Review
Graph Partitioning for Distributed Graph Processing
Semi-Automatic Building of Ontologies from Unstructured French Texts: Industrial Case Study
Using GUHA Data Mining Method in Analyzing Road Traffic Accidents Occurred in the Years 2004-2008 in Finland
Graph-Based RDF Data Management
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks
FairLOF: Fairness in Outlier Detection
A Communication Efficient ADMM-based Distributed Algorithm Using Two-Dimensional Torus Grouping AllReduce
Link Prediction on Complex Networks: An Experimental Survey
AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance
Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach
Personalized Re-ranking for Recommendation with Mask Pretraining
A Unification of Heterogeneous Data Sources into a Graph Model in E-commerce
Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas
What is the Value of Experimentation and Measurement?
Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis
SUMA: A Partial Materialization-Based Scalable Query Answering in OWL 2 DL
Graph Neural Network-Based Short‑Term Load Forecasting with Temporal Convolution
A Risk Estimation Mechanism for Android Apps based on Hybrid Analysis
Big Graph Analyses: From Queries to Dependencies and Association Rules
SymmPi: Exploiting Symmetry Removal for Fast Subgraph Matching
Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division
An Efficient Algorithm of Star Subgraph Queries on Urban Traffic Knowledge Graph
Exploiting Multi-Category Characteristics and Unified Framework to Extract Web Content
Low-Overhead Paxos Replication
AGTR: Adversarial Generation of Target Review for Rating Prediction
Channel-Enhanced Contrastive Cross-Domain Sequential Recommendation
Fast De-anonymization of Social Networks with Structural Information
Distributed Similarity Queries in Metric Spaces
Model-Based Diversification for Sequential Exploratory Queries
Co-purchaser Recommendation for Online Group Buying
Optimal Compressed Sensing and Reconstruction of Unstructured Mesh Datasets
POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm
Set-Based Adaptive Distributed Differential Evolution for Anonymity-Driven Database Fragmentation
Anomaly Detection with Sub-Extreme Values: Health Provider Billing
Achieving Fairness with Decision Trees: An Adversarial Approach
Feature-Based and Adaptive Rule Adaptation in Dynamic Environments
A Novel Link Prediction Framework Based on Gravitational Field
Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies
Real-Time Influence Maximization in a RTB Setting
Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis
Fully Dynamic Contraction Hierarchies with Label Restrictions on Road Networks
Combining Graph Contrastive Embedding and Multi-head Cross-Attention Transfer for Cross-Domain Recommendation
Computing Prominent Skyline on Massive Data
Data Privacy Protection Mechanisms in Cloud
TSQ: An Optimized Framework for Efficiently Answering Time Series Queries
GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network
Welcome to a New Era of the Data Science and Engineering Journal (DSE)
A Review of Scalable Bioinformatics Pipelines
Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs
Hierarchical Service Composition via Blockchain-enabled Federated Learning
Big Data Privacy: Challenges to Privacy Principles and Models
Sentiment Classification Using Negative and Intensive Sentiment Supplement Information
Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis
Sliding-ITeM: An Adaptive-Size Graph Stream Summarization Structure Based on Sliding Windows
An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud
Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
The New Hardware Development Trend and the Challenges in Data Management and Analysis
Meta-supervision for Attention Using Counterfactual Estimation
Talent Flow Analytics in Online Professional Network
Identification of k-Most Promising Features to Set Blue Ocean Strategy in Decision Making
When Research Topic Trend Prediction Meets Fact-Based Annotations
Leveraging Domain Context for Question Answering Over Knowledge Graph
Relation Semantic Guidance and Entity Position Location for Relation Extraction
Keyword Search on Large Graphs: A Survey
Dual-triangular Recommender System
An Overview Based on the Overall Architecture of Traffic Forecasting
Modular Decomposition-Based Graph Compression for Fast Reachability Detection
Context-Aware Recommendations with Random Partition Factorization Machines
DFedKG: Diffusion-Based Federated Knowledge Graph Completion
Bus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Which Category Is Better: Benchmarking Relational and Graph Database Management Systems
Trust-based Modelling of Multi-criteria Crowdsourced Data
Clustering Embedded Approaches for Efficient Information Network Inference
Query Optimal k-Plex Based Community in Graphs
Introduction to Data Science and Engineering
Special Issue of APWeb-WAIM 2019
MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning
Estimating the Optimal Number of Clusters k in a Dataset Using Data Depth
Deep Multiple Auto-Encoder-Based Multi-view Clustering
SOC: A Succinct Adaptive Semantic OLAP Caching
SSTP: Social and Spatial-Temporal Aware Next Point-of-Interest Recommendation
Top-k Competitive Location Selection over Moving Objects
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS
Special Issue on Graph Processing: Techniques and Applications
Spatio-Temporal Keyword Query Processing Based on Key-Value Stores
Construct and Query A Fine-Grained Geospatial Knowledge Graph
A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets
Big Data Management: What to Keep from the Past to Face Future Challenges?
Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations
Efficient Indexing of Top-k Entities in Systems of Engagement with Extensions for Geo-tagged Entities
Contextual Sentiment Neural Network for Document Sentiment Analysis
A New Dimensionality-Unbiased Score for Efficient and Effective Outlying Aspect Mining
Proactive Rumor Control Using Graph Neural Networks and Evolutionary Optimization
On-Device Recommender Systems: A Comprehensive Survey
Towards ML Models' Recommendations
Multi-Task Learning for Abstractive and Extractive Summarization
Graph Contrastive-and-Reconstructive Hashing for Unsupervised Cross-Modal Retrieval
Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation
A Storytelling-Driven Framework for Cultural Heritage Dissemination
GPU-Based Dynamic Hyperspace Hash with Full Concurrency
Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection
Special Issue of APWeb‑WAIM 2020
A Multi-level Mesh Mutual Attention Model for Visual Question Answering
A Practical Privacy-Preserving Recommender System
Bi-Labeled LDA: Inferring Interest Tags for Non-famous Users in Social Network
Editorial of Special Issue of WISE 2019
Aion: Live Migration for In-Memory Databases with Zero Downtime and Reduced Redundant Data Transfer
Multi-perspective Data Modelling in Cyber Physical Production Networks: Data, Services and Actors
On the Meaningfulness of "Big Data Quality" (Invited Paper)
Efficient Skyline Computation on Massive Incomplete Data
Integrating Web-Based Collaborative Live Editing and Wireframing into a Model-Driven Web Engineering Process
Editorial of Special Issue of ICDM 2019
Hierarchical Isomerism Distributed Equivalent Union Find for Billion-Scale Disjoint Sets: A Case Study
Efficient Subgraph Matching on Large RDF Graphs Using MapReduce
Multi-view Heterogeneous Graph Neural Networks for Node Classification
FLAG: Towards Graph Query Autocompletion for Large Graphs
Correction to: Query Optimal k-Plex Based Community in Graphs
Representing Graphs as Bag of Vertices and Partitions for Graph Classification
Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods
Efficient Breadth-First Search on Massively Parallel and Distributed-Memory Machines
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
PostMan: A Productive System for Spatio-temporal Data Management and Analysis
A Framework to Maximize Group Fairness for Workers on Online Labor Platforms
Automatically Detecting Errors in Employer Industry Classification Using Job Postings
Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
DASFAA 20202 Special Issue Editorial
Time for Addressing Software Security Issues: Prediction Models and Impacting Factors
A Data-Driven Evaluation for Insider Threats
New Performance Index "Attractiveness Factor" for Evaluating Websites via Obtaining Transition of Users' Interests
Fine-Grained Multi-label Sexism Classification Using a Semi-Supervised Multi-level Neural Approach
Multiple Local Community Detection via High-Quality Seed Identification over Both Static and Dynamic Networks
Toward Enhancing Room Layout Estimation by Feature Pyramid Networks
DTIA: Disruptive Text-Image Alignment for Countering Text-to-Image Diffusion Model Personalization
How Good Are Modern Spatial Libraries?
DB-GPT: Large Language Model Meets Database
Editorial: Updates to the DSE Leadership and Editorial Board
Common Neighbor Completion with Information Entropy for Link Prediction in Social Networks
Critical Correlation of Predictors for an Efficient Risk Prediction Framework of ICU Patient Using Correlation and Transformation of MIMIC-III Dataset
Using Node Identifiers and Community Prior for Graph-Based Classification
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis
DMDP: A Dynamic Multi-source Default Probability Prediction Framework
ripple2vec: Node Embedding with Ripple Distance of Structures
Disentangled Graph Recurrent Network for Document Ranking
Investigating TSP Heuristics for Location-Based Services
Budget-Constrained Runtime Allocation of Linked Data Services in Stream Processing
An Optimal Model for Medical Text Classification Based on Adaptive Genetic Algorithm
Intent-Aware Data Visualization Recommendation
Learning Discrete Hashing Towards Efficient Fashion Recommendation
A One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search
Influential Billboard Slot Selection Using Spatial Clustering and Pruned Submodularity Graph
Novel Parallel Algorithms for Fast Multi-GPU-Based Generation of Massive Scale-Free Networks
Editorial: Introduction to Data Security and Privacy
UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile
Learning Weight Signed Network Embedding with Graph Neural Networks