yusuke1997/dblp-id-title huggingface dataset:
Effects of Environmental Conditions on Historic Buildings: Interpretable Versus Accurate Exploratory Data Analysis
Dynamic Price Prediction for Revenue Management System in Hospitality Sector
Comparative Analysis of Store Clustering Techniques in the Retail Industry
Prevalence of Security Vulnerabilities in C++ Projects
Dynamic Data Streaming for an Appliance
Towards a Data Warehouse Architecture for Managing Big Data Evolution
Data Management for M2M Communication using Telecom Mediation Systems
Improving Statistical Reporting Data Explainability via Principal Component Analysis
An Exploratory Analysis of Malaria and Climatic Factors in India
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information
Automatic Synthesis of Data Cleansing Activities
A Benchmark for Online Non-blocking Schema Transformations
A Visual Analysis of Hazardous Events in Contract Risk Management
Election Vote Share Prediction using a Sentiment-based Fusion of Twitter Data with Google Trends and Online Polls
Model Card Metadata Collection from Hugging Face to Foster Multidisciplinary AI Research: A Dataset
Citation Steadiness Analysis with GraphSAGE Approach
Visualizing OWL and RDF: Advancing Ontology Representation for Enhanced Semantic Clarity and Communication
Decision Support System for Implementing Data Quality Projects
Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies
Using a Skip-gram Architecture for Model Contextualization in CARS
Data-Centric Workflow Approach to Lifecycle Data Management
Determining a New Home Classification - A Data Mining Approach
Data Management Technologies and Applications - Third International Conference, DATA 2014, Vienna, Austria, August 29-31, 2014, Revised Selected Papers
Towards Indoor Radon Analytics: An OLAP-based Multidimensional Approach
Architecture of a Multi-domain Processing and Storage Engine
Towards Semantic Interoperability of Core Registers in Croatia
Optimized and Explainable Feature Selection for Soil Moisture Prediction Across Sites
Invers Natural Number System to Maintain User-defined Sequence of Data Records
Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management
Is Open Data Ready for Use by Enterprises? Learnings from Corporate Registers
Modelling of Efficient Graph-aware Data Storage using DNA
A MapReduce Architecture for Web Site User Behaviour Monitoring in Real Time
Automata Theory based Approach to the Join Ordering Problem in Relational Database Systems
A Graph-based Approach at Passage Level to Investigate the Cohesiveness of Documents
AI-Ready Open Data Ecosystem
Framework for Data-Driven Spirulina Cultivation and Recommendations
Player Performance Evaluation in Team-Based First-Person Shooter eSport
Data Mining for Animal Health to Improve Human Quality of Life: Insights from a University Veterinary Hospital
Structuring the End of the Data Life Cycle
HTC-GEN: A Generative LLM-Based Approach to Handle Data Scarcity in Hierarchical Text Classification
Hawkes Processes on Social and Mass Media: A Causal Study of the #BlackLivesMatter Movement in the Summer of 2020
Preprocessing of Terrain Data in the Cloud using a Workflow Management System
ADiBA Big Data Adoption Framework: Accelerating Big Data Revolution 5.0
Is Positive Sentiment Missing in Corporate Reputation?
Fundus Unimodal and Late Fusion Multimodal Diabetic Retinopathy Grading
Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction
Non-consent Data Retrieval While using Web or Email Services
An Unsupervised Drift Detector for Online Imbalanced Evolving Streams
Facilitating Data Usage Control Through IPv6 Extension Headers
Automatic Sentiment Labelling of Multimodal Data
Automatic Classification of Quantitative Data from DNS Cache Servers into Stationary and Non-Stationary States Based on Clustering
Effective Keyword Search via RDF Annotations
Implementation and Empirical Evaluation of a Case-based, Interactive e-Learning Module with X-ray Tooth Prognosis
Trust Profile based Trust Negotiation for the FHIR Standard
The Case for Personalized Anonymization of Database Query Results
A Comparison of the Efficiencies of Various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development
Developing a Pedagogical Cybersecurity Ontology
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection: Complexities, Benchmarking, Performance Analysis
A CART-based Genetic Algorithm for Constructing Higher Accuracy Decision Trees
Improving Indoor Positioning via Machine Learning
Detecting AI-Generated Reviews for Corporate Reputation Management
Democratizing the Access to Geospatial Data: The Performance Bottleneck of Unified Data Interfaces
Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System
Random Forest Classification of Cognitive Impairment Using Digital Tree Drawing Test (dTDT) Data
Incorporating Feature Selection and Clustering Approaches for High-Dimensional Data Reduction
The Imbalance Data Handling of XGBoost in Insurance Fraud Detection
From Static to Agile - Interactive Particle Physics Analysis in the SAP HANA DB
Narrative Annotation of Content for Cultural Legacy Preservation
Automatic Detection of Facial Landmarks for Denture Models
Visualization & Data Mining for High Dimensional Datasets
Method of a Structure-Independent Databases Design in Configurable Information Systems
A Gradient Descent based Heuristic for Solving Regression Clustering Problems
A New Addressing Scheme for Discrimination Networks easing Development and Testing
Detecting and Analyzing Privacy Leaks in Tweets
Supporting Pre-shared Keys in Closed Implementations of TLS
A Policy-Agnostic Programming Language for the International Data Spaces
An Approach for the Automatic Detection of Prejudice in Instant Messaging Applications
Index Clustering: A Map-reduce Clustering Approach using Numba
Issues in Combined Static and Dynamic Data Management
Boosting an Embedded Relational Database Management System with Graphics Processing Units
Towards a Responsible Thinking in the New Era of Gen AI: Walking the Walk
AutoImpute: An Autonomous Web Tool for Data Imputation Based on Extremely Randomized Trees
NoSQL Storage for Configurable Information System - The Conceptual Model
Improved Alzheimer's Detection from Brain MRI via Transfer Learning on Pre-Trained Convolutional Deep Models
Integrated Marine Data Management - Data Management Strategies for Risk Reduction in the Offshore Wind Industry
Smart Learning Management System Framework
R-Pref: Rapid Prototyping of Database Preference Queries in R
Towards Semantic Data Management Plans for Efficient Review Processing and Automation
Citable by Design - A Model for Making Data in Dynamic Environments Citable
Efficient Subgraph Indexing for Biochemical Graphs
Dow Jones Trading with Deep Learning: The Unreasonable Effectiveness of Recurrent Neural Networks
Effective Training Methods for Automatic Musical Genre Classification
DATA 2013 - Proceedings of the 2nd International Conference on Data Technologies and Applications, Reykjavík, Iceland, 29 - 31 July, 2013
Construction of Semantic Data Models
Characterizing Speed Performance of Multi-Agent Reinforcement Learning
Knowledge Spring Process - Towards Discovering and Reusing Knowledge within Linked Open Data Foundations
CCR-Logistic Based Variable Importance Visualization: Differentiating Prime and Suppressor Variables in Logit Models
Distributed Optimization of Classifier Committee Hyperparameters
XACML Policy Inconsistency Analysis and Resolution
Prediction of Academic Success in a University and Improvement Using Lean Tools
An Effective Prediction of Events in Social Networks Using Influence Score of Communities
From Digital Footprints to Facts: Mining Marketing Policies of the Greek Community on Instagram and Youtube
A Framework for Real-Time Evaluation of Medical Doctors' Performances While Using a Cricothyrotomy Simulator
Database Evolution for Software Product Lines
Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV Clusters
Intelligent Sampling System for Connected Vehicle Big Data
Development of a Semantic Database Model to Facilitate Data Analytics in Battery Cell Manufacturing
An Overview of Transfer Learning Focused on Asymmetric Heterogeneous Approaches
A Few-Shot Learning-Focused Survey on Recent Named Entity Recognition and Relation Classification Models
FunctionGuard - A Query Engine for Expensive Scientific Functions in Relational Databases
Hybrid Multi-model Multi-platform (HM3P) Databases
A Parallel Bit-map based Framework for Classification Algorithms
An Advanced Entity Resolution in Data Lakes: First Steps
SylvaDB: A Polyglot and Multi-backend Graph Database Management System
Using Machine Learning Methods and the Influenza Simulation System to Explore the Similarities of Taiwan's Administrative Regions
Machine Learning Approach for National Innovation Performance Data Analysis
Big Data Analysis of Ionosphere Disturbances using Deep Autoencoder and Dense Network
The Geometry and Topology of Data Analysis
An Efficient Decentralized Multidimensional Data Index: A Proposal
Geometric Divide and Conquer Classification for High-dimensional Data
Multitudinous Data Platform for Community Big Data
Clustered Majority Judgement
Selecting a Data Warehouse Provider: A Daunting Task
Domain Adaption of a Heterogeneous Textual Dataset for Semantic Similarity Clustering
Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects
Visual-CBIR: Platform for Storage and Effective Manipulation of a Database Images
Aspect Based Sentiment Analysis on Online Review Data to Predict Corporate Reputation
Application of Data Stream Processing Technologies in Industry 4.0: What is Missing?
IDAT: An Interactive Data Exploration Tool
Rigor in Applied Data Science Research Based on DSR: A Literature Review
A Researcher's View on (Big) Data Analytics in Austria Results from an Online Survey
A Microservice-Based Architecture for Real-Time Credit Card Fraud Detection with Observability
3D Convolutional Neural Network to Predict the Energy Consumption of Milling Processes
Proceedings of the 14th International Conference on Data Science, Technology and Applications, DATA 2025, Bilbao, Spain, June 10-12, 2025
Towards Enabling Emerging Named Entity Recognition as a Clinical Information and Argumentation Support
Identifying Conversational Message Threads by Integrating Classification and Data Clustering
A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data
Supporting Trainset Annotation for Text Classification of Incoming Enterprise Documents
Approaching ETL Processes Specification Using a Pattern-Based Ontology
International Roaming Traffic Optimization with Call Quality
Arbitrary Shaped Clustering Validation on the Test Bench
From Satellites to Social Media: What Data Tells us About Society
Framework for the Recognition of Activities of Daily Living and Their Environments in the Development of a Personal Digital Life Coach
Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment
Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping
BRAID - A Hybrid Processing Architecture for Big Data
Ensemble Learning based on Regressor Chains: A Case on Quality Prediction
A Multi-criteria Approach for Large-object Cloud Storage
On Continuous Top-k Similarity Joins
A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet
Towards Interoperable Data Spaces: Comparative Analysis of Data Space Implementations Between Japan and Europe
Semantic Enrichment of Vital Sign Streams through Ontology-based Context Modeling using Linked Data Approach
Toward a New Quality Measurement Model for Big Data
Automatic Document Summarization based on Statistical Information
Towards Data Ecosystems in Smart Cities: Success Factors of Urban Data Spaces
Topic-Aware Visual Citation Tracing via Enhanced Term Weighting for Efficient Literature Retrieval
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Toward a Product Search Engine based on User Reviews
Proceedings of the 12th International Conference on Data Science, Technology and Applications, DATA 2023, Rome, Italy, July 11-13, 2023
NRank: A Unified Platform Independent Approach for Top-K Algorithms
Detection of Drowsy Driving Using Wearable Sensors
Failure Prediction Using Multimodal Classification of PCB Images
Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows
RESTful Encapsulation of OWL API
Semantic Copyright Management of Media Fragments
Machine Learning Classification in Cardiology: A Systematic Mapping Study
Toward a Multimodal Multitask Model for Neurodegenerative Diseases Diagnosis and Progression Prediction
Compiling Open Datasets in Context of Large Organizations while Protecting User Privacy and Guaranteeing Plausible Deniability
Determining Appropriate Large Object Stores with a Multi-criteria Approach
An Architecture based on Ontologies, Agents and Metaheuristics Applied to the Multimedia Service of the Brazilian Digital Television System
Effective and Efficient Online Communication - The Channel Model
A BERT-Based Model for Detecting Depression in Diabetes-Related Social Media Posts
Development of an Online-System for Assessing the Progress of Knowledge Acquisition in Psychology Students
Random Neural Network Ensemble for Very High Dimensional Datasets
IntrusionHunter: Detection of Cyber Threats in Big Data
Harnessing Diet and Gene Expression Insights Through a Centralized Nutrigenomics Database to Improve Public Health
On Knowledge Discovery and Interactive Intelligent Visualization of Biomedical Data - Challenges in Human-Computer Interaction & Biomedical Informatics
An Ontology-Based Collaborative Business Intelligence Framework
Real-Time Equipment Health Monitoring Using Unsupervised Learning Techniques
Temporal Multidimensional Model for Evolving Graph-Based Data Warehouses
Towards Programmable Memory Controller for Tensor Decomposition
Applied Data Science: An Approach to Explain a Complex Team Ball Game
Integrating Lightweight Compression Capabilities into Apache Arrow
The Formal Model of Structure-Independent Databases
Creating Triggers with Trigger-By-Example in Graph Databases
Detecting Twitter Fake Accounts using Machine Learning and Data Reduction Techniques
Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms
LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals
A Comparison of Methods for the Evaluation of Text Summarization Techniques
Distributed Edge Computing System for Vehicle Communication
DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in Shiny
Using Visualisation Techniques to Acquire a Better Understanding of Storytelling for Cultural Heritage
Semi-Structured Data Model for Big Data (SS-DMBD)
GPU Acceleration of PySpark using RAPIDS AI
Analyzing Cyber-Physical Systems in Cars: A Case Study
Utilization Measures in a Learning Management System
Clustering Big Data
Complex Patten Processing in Spatio-temporal Databases
A Method of Topic Detection for Great Volume of Data
From Representation to Mediation: Modeling Information Systems in a Digital World
Combining Prediction Methods for Hardware Asset Management
Facts Collection and Verification Efforts
A Reference Process for Judging Reliability of Classification Results in Predictive Analytics
The Role of Big Data Analytics in Corporate Decision-making
Ontology Similarity Measurement Method in Rapid Data Integration
Widget-based Exploration of Linked Statistical Data Spaces
RDF Resource Search and Exploration with LinkZoo
Prediction of Daily Sales of Individual Products in a Medium-Sized Brazilian Supermarket Using Recurrent Neural Networks Models
Inference in Hierarchical Multidimensional Space
Data Storytelling in Learning Analytics: AI-Driven Competence Assessment
QTrail-DB: A Query Processing Engine for Imperfect Databases with Evolving Qualities
Querying Decentralized Knowledge Graphs
Extended Techniques for Flexible Modeling and Execution of Data Mashups
Efficient Exploration of Linked Data Cloud
Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data
Estimating the Optimal Number of Clusters from Subsets of Ensembles
Algorithms for Computing Inequality Joins
Federated Road Surface Anomaly Detection Using Smartphone Accelerometer Data
Context-Aware Decision Support in Dynamic Environments - Theoretical & Technological Foundations
Experiences in the Development of a Data Management System for Genomics
PreXP: Enhancing Trust in Data Preprocessing Through Explainability
Architectural Considerations for a Data Access Marketplace Based upon API Management
Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis
Data Analytics for Smart Manufacturing: A Case Study
Governance and Privacy in a Provincial Data Repository - A Cross-sectional Analysis of Longitudinal Birth Cohort Parent Participants' Perspectives on Sharing Adult Vs. Child Research Data
Scalable Versioning for Key-Value Stores
A Component-based Approach to Realize Order Placement and Processing in MSMEs
Data Curation Framework for Facilities Science
AMAKAN: Fully Interpretable Adaptive Multiscale Attention Through Kolmogorov-Arnold Networks
Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research
Analysis of Brain Waves in Violent Images - Are Differences in Gender?
A Measure Data Catalog for Dashboard Management and Validation
Trading Memory versus Workload Overhead in Graph Pattern Matching on Multiprocessor Systems
Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud Detection
Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks
A First Framework for Mutually Enhancing Chorem and Spatial OLAP Systems
Identifying Semantic Classes within Student's Data Using Clustering Technique
An Ontology for Representing and Extracting Knowledge Starting from Open Data of Public Administrations
A Hybrid Approach for Product Classification based on Image and Text Matching
EDEX: Entity Preserving Data Exchange
Hypergraph-Based Access Control Using Organizational Models and Formal Language Expressions - HGAC HGAC
A Two-tire Approach for Organization Name Entity Resolution
Inferring #MeToo Experience Tweets using Classic and Neural Models
Next-Event Prediction in Cybercrime Complaint Narratives Using Temporal Event Scene Graphs
Machine Learning for KPI Development in Public Administration
Adopting Workflow Patterns for Modelling the Allocation of Data in Multi-Organizational Collaborations
Consistency of Incomplete Data
Data Management Technologies and Applications - 7th International Conference, DATA 2018, Porto, Portugal, July 26-28, 2018, Revised Selected Papers
Manifold Learning to Identify Consumer Profiles in Real Consumption Data
Database Recovery from Malicious Transactions: A Use of Provenance Information
QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques
Towards Efficient Reorganisation Algorithms of Hybrid Index Structures Supporting Multimedia Search Conditions
Efficient and Secure Multiparty Querying over Federated Graph Databases
Sentiment Polarity Classification of Corporate Review Data with a Bidirectional Long-Short Term Memory (biLSTM) Neural Network Architecture
Pump and Dump Cryptocurrency Detection Using Social Media
Biomedical Dataset Recommendation
Finding Maximal Quasi-cliques Containing a Target Vertex in a Graph
Auctions and Estimates: Evidence from Indian Art Market
Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones
Security in Large-Scale Data Management and Distributed Data Acquisition
Expert Agent Guided Learning with Transformers and Knowledge Graphs
iTLM-Q: A Constraint-Based Q-Learning Approach for Intelligent Traffic Light Management
Enhancing News Articles Clustering using Word N-Grams
Interoperability-oriented Quality Assessment for Czech Open Data
A Comparison of Automatic Labelling Approaches for Sentiment Analysis
Anomaly Detection of Medical IoT Traffic Using Machine Learning
How Do I Manage My Personal Data? - A Telco Perspective
GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts
Risk-Stratified Multi-Objective Resource Allocation for Optimal Aviation Security
Determining Top-K Candidates by Reverse Constrained Skyline Queries
Sharding and Master-Slave Replication of NoSQL Databases: Comparison of MongoDB and Redis
Evaluation of LLM-Based Strategies for the Extraction of Food Product Information from Online Shops
Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation
Cloud based Privacy Preserving Data Mining with Decision Tree
Using Signifiers for Data Integration in Rail Automation
Extraction of Biographical Data from Wikipedia
Resiliency-aware Data Compression for In-memory Database Systems
Effective Business Plan Evaluation using an Evolutionary Ensemble
Evaluating the Unification of Multiple Information Retrieval Techniques into a News Indexing Service
Domain-independent Data-to-Text Generation for Open Data
On Bayes Factors for Success Rate A/B Testing
Hypergraph-based Access Control using Formal Language Expressions - HGAC
Utilizing Generative Adversarial Networks for Preserving Privacy in Developing Machine Learning Models for the Healthcare Industry
Dimensioning and Optimizing TaaS for Improved Performance in Telecom System with Text Analytics Features
Proceedings of the 9th International Conference on Data Science, Technology and Applications, DATA 2020, Lieusaint, Paris, France, July 7-9, 2020
Generic and Concurrent Computation of Belief Combination Rules
The Application of Affective Measures in Text-Based Emotion Aware Recommender Systems
Use of Semantic Artefacts in Agricultural Data-Driven Service Development
Combining Image and Text Matching for Product Classification in Retail *
Using Information Visualization to Support Open Data Integration
A Comparative Study on Inflated and Dispersed Count Data
A Multi-Factor Approach to Measure User Preference Similarity in Neighbor-Based Recommender Systems
Data Preparation for Tourist Data Big Data Warehousing
BotWheels: a Petri Net based Chatbot for Recommending Tires
DATA 2016 - Proceedings of 5th International Conference on Data Management Technologies and Applications, Lisbon, Portugal, 24-26 July, 2016
Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems
Sentiment Analysis of German Emails: A Comparison of Two Approaches
SubTempora: A Hybrid Approach for Optimising Subgraph Searching
Predicting Flare Probability in Rheumatoid Arthritis using Machine Learning Methods
A Design Framework for a Blockchain-Based Open Market Platform of Enriched Card-Based Transactional Data for Big Data Analytics and Open Banking
Algebraic Expressions with State Constraints for Causal Relations and Data Semantics
Data Visualization Framework for Identifying Optimal Locations for Links in the Index Page of a Website
Validating ETL Patterns Feasability using Alloy
Flexible Information Management, Exploration and Analysis in SAP HANA
Graph-based Campaign Amplification in Telecom Cloud
A Survey-Based Evaluation of the Data Engineering Maturity in Practice
Automatic and Graceful Repairing of Data Inconsistencies Resulting from Retroactive Updates in Temporal Xml Databases
Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews
Proceedings of the 7th International Conference on Data Science, Technology and Applications, DATA 2018, Porto, Portugal, July 26-28, 2018