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262Published 2020Table of Contents: “...Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Decoupled and energy stable time-marching scheme for the interfacial flow with soluble surfactants -- A Numerical Algorithm to Solve the Two-Phase Flow in Porous Media Including Foam Displacement -- A three-dimensional, one-field, fictitious domain method for fluid-structure interactions -- Multi Axes Sliding Mesh Approach for Compressible Viscous Flows -- Monolithic arbitrary Lagrangian-Eulerian finite element method for a multi-domain blood flow-aortic wall interaction problem -- Morphing Numerical Simulation of Incompressible Flows Using Seamless Immersed Boundary Method -- deal.II Implementation of a Two-field Finite Element Solver for Poroelasticity -- Numerical Investigation of Solute Transport in Fractured Porous Media Using the Discrete Fracture Model -- Adaptive multiscale model reduction for nonlinear parabolic equations using GMsFEM -- Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems -- Numerical simulation of heat transfer in an enclosure with time-periodic heat generation using finite-difference method -- Development of an Object-Oriented Programming Tool based on FEM for Numerical Simulation of Mineral-Slurry Transport -- Descending Flight Simulation of Tiltrotor Aircraft at Different Descent Rates -- The quantization algorithm impact in hydrological applications: preliminary results -- An Expanded Mixed Finite Element Method for Space Fractional Darcy Flow in Porous Media -- Prediction of the Free Jet Noise Using Quasi-Gas Dynamic Equations and Acoustic Analogy -- Simulation Based Exploration of Bacterial Cross Talk Between Spatially Separated Colonies in A Multispecies Biofilm Community -- Massively Parallel Stencil Code for Radiation Transport Moment Model Simulations -- Hybrid Mixed Methods Applied to Miscible Displacements with Adverse Mobility Ratio -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Learn More from Context: Joint Modeling of Local and Global Attention for Aspect Sentiment Classification -- ArtPDGAN: Creating Artistic Pencil Drawing With Key Map Using Generative Adversarial Networks -- Interactive travel aid for the visually impaired - from depth maps to sonic patterns and verbal messages -- Ontology-Driven Edge Computing -- Combined Metrics for Quality Assessment of 3D Printed Surfaces for Aesthetic Purposes: Towards Higher Accordance with Subjective Evaluations -- Path Markup Language for Indoor Navigation -- Smart Fire Alarm System with Person Detection and Thermal Camera -- Data Mining for Thermal Analysis of Big Dataset of HPC-Data Center -- A comparison of multiple objective algorithms in the context of a dial a ride problem -- Software Engineering for Computational Science -- Lessons learned in a decade of research software engineering GPU applications -- Unit Tests of Scientific Software: A Study on SWMM -- NUMA-Awareness as a Plug-In for an Eventify-based Fast Multipole Method -- Boosting Group-level Synergies by Using a Shared Modeling Framework -- Testing Research Software: A Case Study -- APE: A Command-Line Tool and API for Automated Workflow Composition -- Solving Problems with Uncertainties -- An ontological approach to Knowledge Building by Data Integration -- A Simple Stochastic Process Model for River Environmental Assessment under Uncertainty -- A posteriori error estimation via differences of numerical solutions -- Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model -- Robust single machine scheduling with random blocks in an uncertain environment -- Empirical Analysis of Stochastic Methods of Linear Algebra -- Wind field parallelization based on Python multiprocessing to reduce forest fire propagation prediction uncertainty -- Risk Profiles of Financial Service Portfolio for Women Segment using Machine Learning Algorithms -- Multidimensional BSDEs With Mixed Reflections And Balance Sheet Optimal Switching Problem -- Teaching Computational Science -- Modeling and Automatic Code Generation Tool for Teaching Concurrent and Parallel Programming by Finite State Processes -- Automatic feedback provision in teaching computational science -- Computational Science vs. ...”
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267Published 2025Table of Contents: “...2.2.3.1 Correlation coefficient -- 2.2.3.2 Linear regression -- 2.2.3.3 Predictive analytics use cases -- 2.2.4 Prescriptive analytics -- 2.3 Evolution of data analytics -- 2.3.1 SQL analytics: relational database management systems, online transaction processing, and online analytic processing -- 2.3.2 Business analytics: business intelligence, data warehousing, and data mining -- 2.3.2.1 Business intelligence -- 2.3.2.2 Data warehouses, star schema, and online analytic processing cubes -- 2.3.2.3 Extract, transform, and load tools -- 2.3.2.4 Online analytic processing servers -- 2.3.2.5 Data mining -- 2.3.2.5.1 Frequent patterns -- 2.3.2.5.2 Classification -- 2.3.2.5.3 Cluster analysis -- 2.3.2.5.4 Outlier detection -- 2.3.2.5.5 Evolution analysis -- 2.3.2.5.6 Graph data mining application -- 2.3.3 Visual analytics -- 2.3.4 Big data analytics -- 2.3.5 Cognitive analytics -- 2.4 Data science -- 2.4.1 Data lifecycle -- 2.4.2 Data quality -- 2.4.3 Building and evaluating models -- 2.5 Tools and resources for data analytics -- 2.6 Recent advances and trends in data analytics -- 2.7 Conclusion -- 2.8 Questions and exercise problems -- References -- 3 Data science tools and techniques to support data analytics in transportation applications -- 3.1 Introduction to the R programming environment for data analytics -- 3.2 Research data exchange -- 3.3 Fundamental data types and structures: data frames and list -- 3.3.1 Data frame -- 3.3.2 List -- 3.4 Importing data from external files -- 3.4.1 Delimited -- 3.4.2 XML -- 3.4.3 SQL -- 3.5 Ingesting online social media data -- 3.5.1 Static search -- 3.5.2 Dynamic streaming -- 3.6 Data mining and machine learning techniques and libraries in Python -- 3.6.1 Python libraries for data analytics -- 3.6.2 Unsupervised learning with clustering -- 3.6.3 Supervised learning with regression....”
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268Table of Contents: “...General Data Protection Regulation -- EU-US Safe Harbor -- US Privacy Act of 1974 -- International Cooperation -- Import/Export Restrictions -- Trans-border Data Flow -- Important Laws and Regulations -- US Computer Fraud and Abuse Act -- HIPAA -- United States Breach Notification Laws -- Ethics -- The (ISC)2 Code of Ethics -- The (ISC)2 Code of Ethics Canons in Detail -- Computer Ethics Institute -- IABs Ethics and the Internet -- Information Security Governance -- Security Policy and Related Documents -- Policy -- Components of Program Policy -- Policy Types -- Procedures -- Standards -- Guidelines -- Baselines -- Personnel Security -- Candidate Screening and Hiring -- Onboarding -- Employee Termination -- Security Awareness and Training -- Gamification -- Security Champions -- Access Control Defensive Categories and Types -- Preventive -- Detective -- Corrective -- Recovery -- Deterrent -- Compensating -- Comparing Access Controls -- Risk Analysis -- Assets -- Threats and Vulnerabilities -- Risk=Threat x Vulnerability -- Impact -- Risk Analysis Matrix -- Calculating Annualized Loss Expectancy -- Asset Value -- Exposure Factor -- Single Loss Expectancy -- Annual Rate of Occurrence -- Annualized Loss Expectancy -- Total Cost of Ownership -- Return on Investment -- Budget and Metrics -- Risk Response -- Accept the Risk -- Risk Acceptance Criteria -- Mitigate the Risk -- Transfer the Risk -- Risk Avoidance -- Quantitative and Qualitative Risk Analysis -- The Risk Management Process -- Risk Maturity Modeling -- Security and Third Parties -- Service Provider Contractual Security -- Minimum Security Requirements -- Service Level Agreements and Service Level Requirements -- Attestation -- Right to Penetration Test/Right to Audit -- Supply Chain Risk Management -- Risks Associated With Hardware, Software, and Services -- Vendor Governance -- Acquisitions....”
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272Published 2009Subjects: “...Data Mining. swd...”
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