Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools

  • 4h 16m
  • Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas, Yannis Dimotikalis
  • John Wiley & Sons (US)
  • 2021

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen

Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically.

This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

In this Book

  • A Variant of Updating PageRank in Evolving Tree Graphs
  • Nonlinearly Perturbed Markov Chains and Information Networks
  • PageRank and Perturbed Markov Chains
  • Doubly Robust Data-Driven Distributionally Robust Optimization
  • A Comparison of Graph Centrality Measures Based on Lazy Random Walks
  • Error Detection in Sequential Laser Sensor Input
  • Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
  • Exploring the Distribution of Conditional Quantile Estimates: An Application to Specific Costs of Pig Production in the European Union
  • Maximization Problem Subject to Constraint of Availability in Semi-Markov Model of Operation
  • The Impact of Multicollinearity on Big Data Multivariate Analysis Modeling
  • Weak Signals in High-Dimensional Poisson Regression Models
  • Groundwater Level Forecasting for Water Resource Management
  • Phase I Non-parametric Control Charts for Individual Observations: A Selective Review and Some Results
  • On Divergence and Dissimilarity Measures for Multiple Time Series
SHOW MORE
FREE ACCESS

YOU MIGHT ALSO LIKE

Book Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios
Course Prompt Engineering for Machine Learning
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Book Data & Analytics for Instructional Designers