24548 publications
- Data Engineering in Medical Imaging
- Data Entry and Validation with C# and VB .NET Windows Forms
- Data Envelopment Analysis
- Data Envelopment Analysis
- Data Envelopment Analysis
- Data Envelopment Analysis
- Data Envelopment Analysis
- Data Envelopment Analysis in the Financial Services Industry
- Data Envelopment Analysis in the Service Sector
- Data Envelopment Analysis with GAMS
- Data Envelopment Analysis with R
- Data Envelopment Analysis: Theory, Methodology, and Applications
- Data Ethics and Challenges
- Data Exploration Using Example-Based Methods
- Data Fabric and Data Mesh Approaches with AI
- Data Fusion Applications
- Data Fusion and Perception
- Data Fusion for Sensory Information Processing Systems
- Data Fusion in Information Retrieval
- Data Fusion: Concepts and Ideas
- Data Governance
- Data Governance
- Data Governance Success
- Data Governance and Compliance
- Data Governance and Data Management
- Data Governance and Policy in Africa
- Data Governance for Managers
- Data Governance für Manager
- Data Integration
- Data Integration Life Cycle Management with SSIS
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Integration in the Life Sciences
- Data Intelligence and Cognitive Informatics
- Data Intelligence and Cognitive Informatics
- Data Intelligence and Cognitive Informatics
- Data Intelligence and Cognitive Informatics
- Data Intensive Computing for Biodiversity
- Data Intensive Industrial Asset Management
- Data Interpretation in Anesthesia
- Data Journalism in the Global South
- Data Journeys in the Sciences
- Data Lake Analytics on Microsoft Azure
- Data Management
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management Technologies and Applications
- Data Management and Analysis
- Data Management and Analytics for Medicine and Healthcare
- Data Management and Analytics for Medicine and Healthcare
- Data Management and Internet Computing for Image/Pattern Analysis
- Data Management and Query Processing in Semantic Web Databases
- Data Management for Mobile Computing
- Data Management in Cloud, Grid and P2P Systems
- Data Management in Cloud, Grid and P2P Systems
- Data Management in Cloud, Grid and P2P Systems
- Data Management in Grid and Peer-to-Peer Systems
- Data Management in Grid and Peer-to-Peer Systems
- Data Management in Grid and Peer-to-Peer Systems
- Data Management in Grid and Peer-to-Peer Systems
- Data Management in Grids
- Data Management in Machine Learning Systems
- Data Management in Pervasive Systems
- Data Management in a Connected World
- Data Management in the Cloud
- Data Management on New Hardware
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management, Analytics and Innovation
- Data Management. Data, Data Everywhere
- Data Manipulation with R
- Data Mashup with Microsoft Excel Using Power Query and M
- Data Matching
- Data Merge and Styles for Adobe InDesign CC 2018
- Data Migration Management for SAP S/4HANA
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining
- Data Mining Algorithms in C++
- Data Mining Applications Using Artificial Adaptive Systems
- Data Mining Methods for Knowledge Discovery
- Data Mining Techniques for the Life Sciences
- Data Mining Techniques for the Life Sciences
- Data Mining Techniques for the Life Sciences
- Data Mining Techniques in Sensor Networks
- Data Mining Using Grammar Based Genetic Programming and Applications
- Data Mining and Analytics in Healthcare Management
- Data Mining and Applications in Genomics
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Big Data
- Data Mining and Bioinformatics
- Data Mining and Computational Intelligence
- Data Mining and Constraint Programming
- Data Mining and Decision Support
- Data Mining and Diagnosing IC Fails
- Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
- Data Mining and Knowledge Discovery Handbook
- Data Mining and Knowledge Discovery Handbook
- Data Mining and Knowledge Discovery for Big Data
- Data Mining and Knowledge Discovery for Process Monitoring and Control
- Data Mining and Knowledge Discovery via Logic-Based Methods
- Data Mining and Knowledge Discovery with Evolutionary Algorithms
- Data Mining and Knowledge Management
- Data Mining and Machine Learning in High-Performance Sport
- Data Mining and Machine Learning in Sports
- Data Mining and Market Intelligence
- Data Mining and Multi-agent Integration
- Data Mining and Reverse Engineering
- Data Mining and Statistical Analysis Using SQL
- Data Mining for Association Rules and Sequential Patterns
- Data Mining for Biomarker Discovery
- Data Mining for Biomedical Applications
- Data Mining for Business Applications
- Data Mining for Design and Manufacturing
- Data Mining for Geoinformatics
- Data Mining for Managers
- Data Mining for Scientific and Engineering Applications
- Data Mining for Service
- Data Mining for Social Network Data
- Data Mining for Social Robotics
- Data Mining for Systems Biology
- Data Mining for Systems Biology
- Data Mining im Personalmanagement
- Data Mining im praktischen Einsatz
- Data Mining in Agriculture
- Data Mining in Bioinformatics
- Data Mining in Biomedicine
- Data Mining in Clinical Medicine
- Data Mining in Crystallography
- Data Mining in Finance
- Data Mining in Large Sets of Complex Data
- Data Mining in Proteomics
- Data Mining in Structural Biology
- Data Mining in Structural Dynamic Analysis
- Data Mining on Multimedia Data
- Data Mining with Computational Intelligence
- Data Mining with Rattle and R
- Data Mining with SPSS Modeler
- Data Mining with SPSS Modeler
- Data Mining, Rough Sets and Granular Computing
- Data Mining: Foundations and Intelligent Paradigms
- Data Mining: Foundations and Intelligent Paradigms
- Data Mining: Foundations and Intelligent Paradigms
- Data Mining: Foundations and Practice
- Data Modeling for Metrology and Testing in Measurement Science
- Data Modeling of Financial Derivatives
- Data Modeling with SAP BW/4HANA 2.0
- Data Monitoring Committees (DMCs)
- Data Monitoring in Clinical Trials
- Data Network Engineering
- Data Networks with Satellites
- Data Orchestration in Deep Learning Accelerators
- Data Organization in Parallel Computers
- Data Parallel C++
- Data Parallel C++
- Data Preprocessing in Data Mining