IT-Berater mit Schwerpunkt auf Data Science und unterstützt Kunden hauptsächlich in der Automobilbranche. Sein Ziel ist …Einleitung -- Abgrenzung der Begriffe im Bereich Data Science -- Vorbereitung der Daten im Unternehmen -- Daten im …

decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and …? -- Preference Disaggregation Analysis: An Overview of Methodological Advances and Applications -- Modeling and Learning of … Hierarchical Decision Models: The Case of the Choquet Integral -- Preference Learning Applied to Credit Rating: Applications and …

on Agrotech using groundbreaking technologies AI, big data and IoT. The authors have presented a new scientific view of …

Chapter 1: Big Data in Finance: An Overview -- SECTION I: BIG DATA IN THE FINANCIAL MARKETS -- Chapter 2: Alternative … Data -- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk -- Chapter 4: High-Frequency Trading … Programming for Uncertainty Estimation in ESG and Alternative Investments -- SECTION II: BIG DATA IN FINANCIAL SERVICES -- Chapter …

“Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and …Part I. Big Data and Special Databases -- Chapter 1. Data Lineage -- Chapter 2. Digitization and MongoDB – The Art of … Possible -- Chapter 3. Graph Databases -- Chapter 4. Data Tiering Options with SAP HANA and Usage in a Hadoop Scenario -- Part …

More data has been produced in the 21st century than all of human history combined. Yet, are we making better decisions … than yesterday’s generation? Do we believe that poor decisions tend to result from the absence of data? The existence of an … overwhelming amount of data has affected how we make decisions, but it has not necessarily improved how we make decisions. To make …

/Decision Making -- Behavioral Analytics -- Belgium -- Big Data Business Model Maturity Index -- Big Data Storytelling, Digital … Storytelling -- Big Humanities Project -- Big Variety Data -- Bioinformatics -- Biomedical Data -- Biometrics -- Biosurveillance … -- Blogs -- Brand Monitoring -- Business-to-Business (B2B) -- Business-to-Community (B2C) -- Cancer -- Cell Phone Data …

Logic driven traffic big data analytics: An introduction -- Statistical models and methods -- Spatial …-temporal distribution model for travel origin-destination based on multi-source data -- Analyzing spatiotemporal congestion pattern on urban … roads based on taxi GPS data -- A ride-sourcing group prediction model based on convolutional neural network. …

Dispatch in Emergency Service System via Reinforcement Learning -- Chapter 3. Towards Understanding the Dynamics of COVID-19 … Perishable Produce -- Chapter 10. Enabling Smart Buildings with Reinforcement Learning Controllers to Reduce Energy Consumption …. A Data Analysis Method for Estimating Balking Behavior in Bike-Sharing Systems -- Chapter 13. The Impact of Scalability …