yusuke1997/dblp-id-title huggingface dataset:
A Supervised Learning Process to Validate Online Disease Reports for Use in Predictive Models
Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers
Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@Heart
Quantifying Insurance Agency Channel Dynamics Using Premium Sales Big Data and External Factors
Big Data is Rocket Fuel
Evolution Process and Simulation of Advanced Equipment Manufacturing Innovation Network Based on Intelligent System
Finding Path Motifs in Large Temporal Graphs Using Algebraic Fingerprints
Unraveling the Complexities of Life Sciences Data
Social Bots: Human-Like by Means of Human Control?
Big Data Assurance: An Approach Based on Service-Level Agreements
Near Real-Time Processing of Proteomics Data Using Hadoop
Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining
An Improved Multiexposure Image Fusion Technique
The Web Observatory: A Middle Layer for Broad Data
Transforming Finance Into Vision: Concurrent Financial Time Series as Convolutional Nets
Effects of Pacing Properties on Performance in Long-Distance Running
Dual-Path Graph Neural Network with Adaptive Auxiliary Module for Link Prediction
Investigating the Co-Movement and Asymmetric Relationships of Oil Prices on the Shipping Stock Returns: Evidence from Three Shipping-Flagged Companies from Germany, South Korea, and Taiwan
The Structural Consequences of Big Data-Driven Education
Extended Kalman Filter-Based Power Line Interference Canceller for Electrocardiogram Signal
Detecting Unbiased Associations in Large Data Sets
A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data
Pneumonia Detection Using Enhanced Convolutional Neural Network Model on Chest X-Ray Images
Data Transmission Enhancement Using Optimal Coding Technique Over In Vivo Channel for Interbody Communication
Big Data for Development
Gaussian Adapted Markov Model with Overhauled Fluctuation Analysis-Based Big Data Streaming Model in Cloud
DISCRN: A Distributed Storytelling Framework for Intelligence Analysis
RST-DE: Rough Sets-Based New Differential Evolution Algorithm for Scalable Big Data Feature Selection in Distributed Computing Platforms
Big Data Applications in Guangzhou Restaurants Analysis
Predictive Modeling With Big Data: Is Bigger Really Better ?
Generic User Behavior: A User Behavior Similarity-Based Recommendation Method
Call for Special Issue Papers: Big Data Analytics for Agricultural Disaster Management
Finding Patterns with a Rotten Core: Data Mining for Crime Series with Cores
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems
The Reliability of Big "Patient Satisfaction" Data
Real-Time Assessment of Wellness and Disease in Daily Life
Acknowledgment of Reviewers 2023
STDADS: An Efficient Slow Task Detection Algorithm for Deadline Schedulers
Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model Choice
Improved Semantic Image Inpainting Method with Deep Convolution Generative Adversarial Networks
How Genetic and Other Biological Factors Interact with Smoking Decisions
Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
What Do RDF and SPARQL bring to Big Data Projects?
Should We Regulate Digital Platforms?
Importance of Community Engagement in Data Decision Making
Untapped Potential
Certification or Advanced Degrees
Opinion Evolution with Information Quality of Public Person and Mass Acceptance Threshold
Efficient State Management for Scaling Out Stateful Operators in Stream Processing Systems
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors
Utilization and Monetization of Healthcare Data in Developing Countries
Big Multimodal Data Analysis: Models and Performance Analysis
Bring it on, Big Data: Beyond the Hype
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products
The Uses of Big Data in Cities
How Heterogeneity Affects the Design of Hadoop MapReduce Schedulers: A State-of-the-Art Survey and Challenges
Deep Learning for Time Series Forecasting: A Survey
Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network
Opportunities at the Intersection of Health and Data
Toward Decision Support for Telecom External Data Monetization: A Study of the Value of Network- and Personality-Based Metrics for Third-Party Businesses
Expanding Real-Time Data Insight at PARC
MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning
An Unsupervised Feature Extraction Approach Based on Self-Expression
Image Smart Segmentation Analysis Against Diabetic Foot Ulcer Using Internet of Things with Virtual Sensing
Lessons Learned About Public Health from Online Crowd Surveillance
Online Analytical Processing for Business Intelligence in Big Data
Introducing a Metadata Checklist for Omics Data
Delsa Workshop IV: Launching the Quantified Human Initiative
A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters
Special Issue: Big Scientific Data and Machine Learning in Science and Engineering
Service Level Agreement Monitoring as a Service: An Independent Monitoring Service for Service Level Agreements in Clouds
A Comprehensive Index for Predicting Risk of Anemia from Patients' Diagnoses
CDNB: CAVIAR-Dragonfly Optimization with Naive Bayes for the Sentiment and Affect Analysis in Social Media
Measuring Customer Similarity and Identifying Cross-Selling Products by Community Detection
An Empirical Evaluation of Network Representation Learning Methods
Moth-Flame Optimization-Bat Optimization: Map-Reduce Framework for Big Data Clustering Using the Moth-Flame Bat Optimization and Sparse Fuzzy C-Means
Hybrid Deep Learning Approach for Traffic Speed Prediction
Classifying of VN-Index Bullishness by Bayesian Inference
Preemptive Epidemic Information Transmission Model Using Nonreplication Edge Node Connectivity in Health Care Networks
HUTNet: An Efficient Convolutional Neural Network for Handwritten Uchen Tibetan Character Recognition
Paradigms for Realizing Machine Learning Algorithms
Forecasting Subway Passenger Flow for Station-Level Service Supply
An Intelligent Channel Estimation Algorithm Based on Extended Model for 5G-V2X
Analysis of Driving Fatigue Characteristics in Cold and Hypoxia Environment of High-Altitude Areas
Identification of Potential Cooperation Relationships Among Scientists
Predicting Presidential Election Outcomes from What People Watch
Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications
Data Science Community Matures with Diversity: Conference Observations, Highlights, and Interviews - Strata Data Conference, New York, September 11-13, 2018
An Experience-Centered Approach to Training Effective Data Scientists
Content-Aware Human Mobility Pattern Extraction
The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach
Validating Gravity-Based Market Share Models Using Large-Scale Transactional Data
Visualizing Dynamic Bitcoin Transaction Patterns
Deep Learning Method for Denial of Service Attack Detection Based on Restricted Boltzmann Machine
SQL-in-Hadoop: Beyond the Benchmark
An Ensemble-Based Scalable Approach for Intrusion Detection Using Big Data Framework
Impact of Cooperative Innovation on the Technological Innovation Performance of High-Tech Firms: A Dual Moderating Effect Model of Big Data Capabilities and Policy Support
Visualizing a Team's Goal Chances in Soccer from Attacking Events: A Bayesian Inference Approach
A Moment Matching Approach for Generating Synthetic Data
Targeted Learning in Healthcare Research
Social and Technical Trade-Offs in Data Science
Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization
The Science of Data Science
The End of Data, and Its Beginning
FraudBuster: Reducing Fraud in an Auto Insurance Market
Structured Verification of Machine Learning Models in Industrial Settings
Toward a General Framework for Multimodal Big Data Analysis
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems
Big Data 2.0: Cataclysm or Catalyst?
Curating Big Data Made Simple: Perspectives from Scientific Communities
Community Detection in Social Networks Using Affinity Propagation with Adaptive Similarity Matrix
An Exercise in Exploring Big Data for Producing Reliable Statistical Information
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning
Electronic Health Record-Based Screening for Substance Abuse
A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks
Impact of Centrality Measures on the Common Neighbors in Link Prediction for Multiplex Networks
Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science
An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation
From Pharmacovigilance to Clinical Care Optimization
Comment on "Data Science and its Relationship to Big Data and Data-Driven Decision Making"
A Unified Training Process for Fake News Detection Based on Finetuned Bidirectional Encoder Representation from Transformers Model
Toward Business Process Innovation in the Big Data Era: A Mediating Roles of Big Data Knowledge Management
Graph Neural Network-Based Diagnosis Prediction
A Perspective on Natural Language Understanding Capability: An Interview with Sam Bowman
Call for Special Issue Papers: Big Data in Business
Big Data in Business: A Bibliometric Analysis of Relevant Literature
Overreaction in Football Wagers
HONEM: Learning Embedding for Higher Order Networks
Electronic Health Records Data and Metadata: Challenges for Big Data in the United States
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning
Big Data As an Enabler of Primary Education
Big Data, Little Data, and Care Coordination for Medicare Beneficiaries with Medigap Coverage
Not Every Pass Can Be an Assist: A Data-Driven Model to Measure Pass Effectiveness in Professional Soccer Matches
Mining the Thin Air - for Understanding of Urban Society
Why Amazon's Ratings Might Mislead You: The Story of Herding Effects
Vehicle Intelligent Classification Based on Big Multimodal Data Analysis and Sparrow Search Optimization
Special Issue on Profit-Driven Analytics
TV Audience Measurement with Big Data
Attribute-Based Adaptive Homomorphic Encryption for Big Data Security
Predicting Churn in Online Games by Quantifying Diversity of Engagement
Evaluating the Impact of Summer Drought on Vegetation Growth Using Space-Based Solar-Induced Chlorophyll Fluorescence Across Extensive Spatial Measures
Balancing Protection and Quality in Big Data Analytics Pipelines
Japan's 2014 General Election: Political Bots, Right-Wing Internet Activism, and Prime Minister Shinzō Abe's Hidden Nationalist Agenda
OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans
Sports Analytics in the Era of Big Data: Moving Toward the Next Frontier
Data Science and its Relationship to Big Data and Data-Driven Decision Making
Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments
Communities Detection for Advertising by Futuristic Greedy Method with Clustering Approach
Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency
Internet of Things Data Visualization for Business Intelligence
Type 2 Diabetes Mellitus Trajectories and Associated Risks
The U.S. Army Person-Event Data Environment: A Military-Civilian Big Data Enterprise
Small Files Problem Resolution via Hierarchical Clustering Algorithm
Big-BOE: Fusing Spanish Official Gazette with Big Data Technology
Apache Drill: Interactive Ad-Hoc Analysis at Scale
A Framework for Considering Comprehensibility in Modeling
Fuzzy Inspired Deep Belief Network for the Traffic Flow Prediction in Intelligent Transportation System Using Flow Strength Indicators
Understanding Democracy and Development Traps Using a Data-Driven Approach
Seasonal Linear Predictivity in National Football Championships
Preserving Health Care Data Security and Privacy Using Carmichael's Theorem-Based Homomorphic Encryption and Modified Enhanced Homomorphic Encryption Schemes in Edge Computing Systems
The Role of Teamwork in the Analysis of Big Data: A Study of Visual Analytics and Box Office Prediction
An Efficient, Ensemble-Based Classification Framework for Big Medical Data
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
Big Multimodal Data Analysis: Applications
Geospatial Insights for Retail Recommendation Using Similarity Measures
Correction to: An Improved Multiexposure Image Fusion Technique by Nazish, et al. Big Data 2023;11(3):215-224; doi: 10.1089/big.2021.0223
A Revolution That Will Transform How We Live, Work, and Think: An Interview with the Authors of Big Data
A Survey of Biological Data in a Big Data Perspective
Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring
Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop - and Under the Looking Glass
Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English-Hindi Language Pairs
Call for Special Issue Papers: Programming Models and Algorithms for Big Data
Introduction to the Special Issue on Big Data and the Internet of Things in Complex Information Systems
Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review
Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets
Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression
Call for Special Issue Papers: Big Data-Driven Futuristic Fabric System in Societal Digital Transformation: Deadline for Manuscript Submission: March 31, 2022
Data Mining and Official Statistics: The Past, the Present and the Future
Agricultural Disaster Risk Management and Capability Assessment Using Big Data Analytics
What Is the Role of Artificial Intelligence in Sports?
Research on the Influence of Information Iterative Propagation on Complex Network Structure
Unlocking the Power of Big Data at the National Institutes of Health
Multiple Targets Tracking with Big Data-Based Measurement for Extended Binary Phase Shift Keying Transceiver
Acknowledgment of Reviewers 2021
An Empirical Study on the Artificial Intelligence Writing Evaluation System in China CET
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
Computational Propaganda and Political Big Data: Moving Toward a More Critical Research Agenda
Exploiting Reused-Based Sharing Work Opportunities in Big Data Multiquery Optimization with Flink
Automated Natural Language Processing-Based Supplier Discovery for Financial Services
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights
Predicting Social Events with Multimodal Fusion of Spatial and Temporal Dynamic Graph Representations
SOOM: Sort-Based Optimizer for Big Data Multi-Query
Predictive Analytics for City Agencies: Lessons from Children's Services
Human Analysts at Superhuman Scales: What Has Friendly Software To Do?
Call for Special Issue Papers: Soft Computing Models for Big Data and Internet of Things
Internet of Things Enabled Financial Crisis Prediction in Enterprises Using Optimal Feature Subset Selection-Based Classification Model
The Pearls and Perils of Google Trends: A Housing Market Application
A Network Intrusion Detection System Using Hybrid Multilayer Deep Learning Model
ACM SIGKDD 2014 to be Held August 24-27 in Manhattan
Symposium on Human-Computer Information Retrieval
The Impact of Big Data Analytics on Decision-Making Within the Government Sector
Peta Vs. Meta
Improving the Efficiency and Ease of Healthcare Analysis Through Use of Data Visualization Dashboards
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies
Review of The New ABCs of Research: Achieving Breakthrough Collaborations
Artificial Intelligence in China
The Best of SIAM Data Mining 2020
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification
General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention
Big Data, Efficient Markets, and the End of Daily Fantasy Sports As We Know It?
Classifying Dissemination Processes in Temporal Graphs
Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics
Targeting Villages for Rural Development Using Satellite Image Analysis
Geospatial Analytics in Retail Site Selection and Sales Prediction
Research Dilemmas with Behavioral Big Data
Artificial Bee Colony Reinforced Extended Kalman Filter Localization Algorithm in Internet of Things with Big Data Blending Technique for Finding the Accurate Position of Reference Nodes
A Reinforcement Learning-Based Framework for Crowdsourcing in Massive Health Care Internet of Things
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science
Big Data on Robotics
DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment
Critique and Contribute: A Practice-Based Framework for Improving Critical Data Studies and Data Science
An Interview with Duncan Watts
Interview with Dr. Silvio Carta, Author of the Book Big Data, Code and the Discrete City (Routledge 2019)
Call for Special Issue Papers: Big Data Analytics in Industrial Intelligence: Deadline of Submissions: December 5, 2022
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery
Surface Reconstruction Pattern Recognition Technology Based on Scattered Point Cloud Data
Common Big Data Challenges and How to Overcome Them
An Improved Particle Filtering Algorithm Using Different Correlation Coefficients for Nonlinear System State Estimation
Structured Open Urban Data: Understanding the Landscape
Aspects of Data Ethics in a Changing World: Where Are We Now?
A Ring Learning with Errors-Based Ciphertext-Policy Attribute-Based Proxy Re-Encryption Scheme for Secure Big Data Sharing in Cloud Environment
Finding Roles of Players in Football Using Automatic Particle Swarm Optimization-Clustering Algorithm
Computational Intelligence for Qualitative Coaching Diagnostics: Automated Assessment of Tennis Swings to Improve Performance and Safety
Teaching an Old Log New Tricks with Machine Learning
Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing
A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals
Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains
Overcoming Resistance to Big Data and Operational Changes Through Interactive Data Visualization
Call for Special Issue Papers: Big Data and the Internet-of-Things in Complex Information Systems: Selections from IoTBDS 2022 and COMPLEXIS 2022: Deadline for Manuscript Submission: September 30, 2022
Big Data and the Rise of Machines in Financial Markets
The Coming of Age for Big Data in Systems Radiobiology, an Engineering Perspective
Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping
A Long Short-Term Memory Network Stock Price Prediction with Leading Indicators
Applications of Bayesian Neural Networks in Outlier Detection
Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport
Strength in Numbers: Using Big Data to Simplify Sentiment Classification
Fully Integrated Data Communication Framework by Using Visualization Augmented Reality for Internet of Things Networks
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks
A Review of Anonymization for Healthcare Data
Identifying Influential Nodes Using a Shell-Based Ranking and Filtering Method in Social Networks
A Data Scientist's Guide to Start-Ups
Healthcare and Data: An Interview with Peter Szolovits
Call for Papers: Big Data
Human Rights Event Detection from Heterogeneous Social Media Graphs
The Human Face of Big Data: An Interview with Rick Smolan
Internet of Medical Things-Based Secure and Energy-Efficient Framework for Health Care
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System
ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis Using Remora Optimization Algorithm
Research Challenges in Financial Data Modeling and Analysis
Learning to Rate Player Positioning in Soccer
Residual-Based Graph Convolutional Network for Emotion Recognition in Conversation for Smart Internet of Things
Big Data and Disease Prevention: From Quantified Self to Quantified Communities
Broad Data: Exploring the Emerging Web of Data
A Bayesian Approach to Learning Scoring Systems
Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments
A Case Study: Analyzing City Vitality with Four Pillars of Activity - Live , Work , Shop , and Play
Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example
Investment Recommender System Model Based on the Potential Investors' Key Decision Factors
An Improved Influence Maximization Method for Online Advertising in Social Internet of Things
Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science
Bring the Noise: Embracing Randomness Is the Key to Scaling Up Machine Learning Algorithms
A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics
An Autoregressive-Based Kalman Filter Approach for Daily PM 2.5 Concentration Forecasting in Beijing, China
Big Data and Predictive Analytics in Health Care
Getting the Dirt on Big Data
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution
Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases
Big Data Confidentiality: An Approach Toward Corporate Compliance Using a Rule-Based System
Consumer Segmentation Based on Location and Timing Dimensions Using Big Data from Business-to-Customer Retailing Marketplaces
Large-Scale Estimation and Analysis of Web Users' Mood from Web Search Query and Mobile Sensor Data
Big Data in Aging Research: An Interview with Aubrey de Grey
Patient Experience of Australian General Practices
Can Big Data Machines Analyze Stock Market Sentiment?
Collective Behavior of Social Bots Is Encoded in Their Temporal Twitter Activity
Secure Biomedical Document Protection Framework to Ensure Privacy Through Blockchain
Bayesian Method for Water Quality Emergency Monitoring in Environmental Pollution Accident Disposal
Why Big Data Won't Cure Us
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis