• Hybrid Multi-model Multi-platform (HM3P) Databases
• Catalog Integration of Low-quality Product Data by Attribute Label Ranking
• Applied Data Science: An Approach to Explain a Complex Team Ball Game
• Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management
• Automatic Detection of Gait Asymmetry
• iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management
• Leveraging Machine Learning for Fake News Detection
• Towards Self-adaptive Defect Classification in Industrial Monitoring
• Capability-based Scheduling of Scientific Workflows in the Cloud
• Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture
• Sentiment Polarity Classification of Corporate Review Data with a Bidirectional Long-Short Term Memory (biLSTM) Neural Network Architecture
• Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud Detection
• Auxiliary Decision-making for Controlled Experiments based on Mid-term Treatment Effect Prediction: Applications in Ant Financial’s Offline-payment Business
• Predicting the Environment of a Neighborhood: A Use Case for France
• A Conceptual Framework for a Flexible Data Analytics Network
• Integrating Lightweight Compression Capabilities into Apache Arrow
• Is Open Data Ready for Use by Enterprises? Learnings from Corporate Registers
• A CART-based Genetic Algorithm for Constructing Higher Accuracy Decision Trees
• Improving Public Sector Efficiency using Advanced Text Mining in the Procurement Process
• The Need for an Enterprise Risk Management Framework for Big Data Science Projects
• A Framework for Creating Policy-agnostic Programming Languages
• Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining
• Multi-view Clustering Analyses for District Heating Substations
• Reference Data Abstraction and Causal Relation based on Algebraic Expressions
• Toward a New Quality Measurement Model for Big Data
• On Generating Efficient Data Summaries for Logistic Regression: A Coreset-based Approach
• Classification of Products in Retail using Partially Abbreviated Product Names Only
• A Gradient Descent based Heuristic for Solving Regression Clustering Problems
• Improving Statistical Reporting Data Explainability via Principal Component Analysis
• Identification of Social Influence on Social Networks and Its Use in Recommender Systems: A Systematic Review
• Context-aware Retrieval and Classification: Design and Benefits
• Trust Profile based Trust Negotiation for the FHIR Standard
• Initializing k-means Clustering
• Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning
• On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation
• Design and Development of IoT based Computer Network Room Environment Monitoring System
• Safety in Distributed Sensor Networks: A Literature Review
• Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector
• The Socio-technical Impact of the Internet of Things: An Exploratory Mixed Methods Research
• Experimental Evaluation of Forward Secure Dynamic Symmetric Searchable Encryption using the Searchitect Framework
• A Cloud-based Analytics Architecture for the Application of Online Machine Learning Algorithms on Data Streams in Consumer-centric Internet of Things Domains
• Skeleton-based Action Recognition for Industrial Packing Process
• A Life Cycle Method for Device Management in Dynamic IoT Environments
• ZigBee IoT Intrusion Detection System: A Hybrid Approach with Rule-based and Machine Learning Anomaly Detection
• Decepti-SCADA: A Framework for Actively Defending Networked Critical Infrastructures
• Machine Learning based Malware Traffic Detection on IoT Devices using Summarized Packet Data
• Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building
• A Reinforcement Learning QoS Negotiation Model for IoT Middleware
• The Suitability of Graph Databases for Big Data Analysis: A Benchmark
• Stocks Prices Prediction with Long Short-term Memory
• IoT-based Systems Actuation Conflicts Management Towards DevOps: A Systematic Mapping Study
• OKIoT Open Knowledge IoT Project: Smart Home Case Studies of Short-term Course and Software Residency Capstone Project
• Condition Elements Extraction based on PCA Attribute Reduction and Xgboost
• Tackling the Six Fundamental Challenges of Big Data in Research Projects by Utilizing a Scalable and Modular Architecture
• Application Lifecycle Management for Industrial IoT Devices in Smart Grid Use Cases
• Classifying Big Data Taxonomies: A Systematic Literature Review
• Online Predicting Conformance of Business Process with Recurrent Neural Networks
• Predicting SQL Query Execution Time with a Cost Model for Spark Platform
• A Large-scale Replication of Smart Grids Power Consumption Anomaly Detection
• Retrieving Similar Software from Large-scale Open-source Repository by Constructing Representation of Project Description
• IoT-CryptoDiet: Implementing a Lightweight Cryptographic Library based on ECDH and ECDSA for the Development of Secure and Privacy-preserving Protocols in Contiki-NG
• Big Data Processing Tools Navigation Diagram
• A Review of Edge Computing Nodes based on the Internet of Things
• Overview of Enterprise IoT Security System based on Edge Computing
• Low Cost Big Data Solutions: The Case of Apache Spark on Beowulf Clusters
• Discussion on Heterogeneous Converged IoT Networking Scheme of CBN in Hotel Field
• Intrinsic Indicators for Numerical Data Quality
• A Framework for Data Sharing between Healthcare Providers using Blockchain
• Analysis of Co-authorship Network and the Correlation between Academic Performance and Social Network Measures
• Geographical Queries Reformulation using Parallel FP-Growth for Spatial Taxonomies Building
• Preparatory Reflections on Safe Context-adaptive Software (Position Paper)
• Self-adaptive Sensing IoT Platform for Conserving Historic Buildings and Collections in Museums
• Self-recovery Service Securing Edge Server in IoT Network against Ransomware Attack
• cloud.iO, An Open-source W3C WoT Compliant Framework
• Approaching the (Big) Data Science Engineering Process
• IIot Platform for Agile Manufacturing in Plastic and Rubber Domain
• Best Fit Missing Value Imputation (BFMVI) Algorithm for Incomplete Data in the Internet of Things
• A Systematic Mapping of Patterns and Architectures for IoT Security
• What3Words Geo Encryption: An Alternative Approach to Location based Encryption
• Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
• Big Data Analytics as Game Changer in Dealing Impact of Climate Change in Malaysia: Present and Future Research
• BRAIN-IoT: Paving the Way for Next-Generation Internet of Things
• Environmental Aware Vulnerability Scoring
• Early Warning System for Landslide Risk and SHM by Means of Reinforced Optic Fiber in Lifetime Strain Analysis
• Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques
• A WSN Energy-aware Approach for Air Pollution Monitoring in Waste Treatment Facility Site: A Case Study for Landfill Monitoring Odour
• Privacy Regulations Challenges on Data-centric and IoT Systems: A Case Study for Smart Vehicles
• Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating
• Data-driven Model for Influenza Prediction Incorporating Environmental Effects
• A Real-time Temperature Anomaly Detection Method for IoT Data
• Do Not Tell Me What I Cannot Do! (The Constrained Device Shouted under the Cover of the Fog): Implementing Symmetric Searchable Encryption on Constrained Devices
• Investigating Trusted Records for Employment and Education
• Scalable Logistic Cell RFID Witness Model
• A Reinforcement Learning and IoT based System to Assist Patients with Disabilities
• Fulfilling the IoT Vision: Are We There Yet?