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Graph Databases: Applications on Social Media Analytics and Smart Cities

Graph Databases: Applications on Social Media Analytics and Smart Cities

  • Ingram,出版日期:2025-05-06

Cut the Gordian Knot of the Social Media Data chaos with the power of Graph Databases. Learn how to combine and migrate ......more

Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive gui......more

Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive gui......more

Theory of Non-Regular Factorial Designs

Theory of Non-Regular Factorial Designs

Nonregular factorial designs are a class of factorial designs that enable researchers to study simultaneously the effect......more

Survival Analysis: Efficient Nonparametric Curve Estimation for Censored Data with R Examples

Survival Analysis: Efficient Nonparametric Curve Estimation for Censored Data with R Examples

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, r......more

Pediatric and Lifespan Data Science: First International Conference, Ipldsc 2024, Anaheim, Ca, Usa, May 23-24, 2024, Revised Selected Papers

Pediatric and Lifespan Data Science: First International Conference, Ipldsc 2024, Anaheim, Ca, Usa, May 23-24, 2024, Revised Selected Papers

  • Ingram,出版日期:2025-05-01

This open access book will address the unique requirements and technological tools for analysis of data across the lifes......more

Bayesian Statistics: The Basics

Bayesian Statistics: The Basics

Bayesian Statistics: The Basics provides a comprehensive yet accessible introduction to Bayesian statistics, specificall......more

Bayesian Statistics: The Basics

Bayesian Statistics: The Basics

Bayesian Statistics: The Basics provides a comprehensive yet accessible introduction to Bayesian statistics, specificall......more

Basic Principles of Applied Medical Statistics: A Practical Guide

Basic Principles of Applied Medical Statistics: A Practical Guide

This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is......more

Applied Machine Learning for Business

Applied Machine Learning for Business

Single volume reference on using various aspects of data science to evaluate, understand, and solve business problems A ......more

Deep Learning in Personalized Music Emotion Recognition

Deep Learning in Personalized Music Emotion Recognition

Music has a unique power to evoke strong emotions in us--bringing us to tears, lifting us into ecstasy or triggering viv......more

Graphs Everyone Should Know and How to Create Them in Stata

Graphs Everyone Should Know and How to Create Them in Stata

Franz Buscha’s book, Graphs Everyone Should Know and How to Create Them in Stata, is written for anyone who uses Stata t......more

Time Series: A Biostatistical Introduction

Time Series: A Biostatistical Introduction

Time series analysis is one of several branches of statistics whose practical importance has increased with the availabi......more

Predictive Clustering

Predictive Clustering

This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a ......more

Regression in Engineering and the Applied Sciences: Applications in R

Regression in Engineering and the Applied Sciences: Applications in R

This book presents a broad range of regression models including count regression models, constrained and penalised regre......more

Metrical and Ergodic Theory of Continued Fraction Algorithms

Metrical and Ergodic Theory of Continued Fraction Algorithms

This monograph presents the work of the authors in metrical theory of continued fractions in the last two decades. The m......more

Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

  • Ingram,出版日期:2025-04-20

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federat......more

Markov Chains: Theory and Applications: Volume 52

Markov Chains: Theory and Applications: Volume 52

  • Ingram,出版日期:2025-04-18

Markov Chains: Theory and Applications, Volume 52 in the Handbook of Statistics series, highlights new advances in the f......more

Applied Survey Data Analysis

Applied Survey Data Analysis

Highly recommended by the Journal of Official Statistics, The American Statistician, and other top statistical journals,......more

Deep Learning in Time Series Analysis

Deep Learning in Time Series Analysis

Deep learning is an important element of artificial intelligence, especially in applications such as image classificatio......more

Statistical Optimal Transport: École d’Été de Probabilités de Saint-Flour XLIX - 2019

Statistical Optimal Transport: École d’Été de Probabilités de Saint-Flour XLIX - 2019

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in s......more

Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance

Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance

If a manufacturing company’s main goal is to sell products profitably, protecting production systems from defects is ess......more

Constructing Insurable Risk Portfolios

Constructing Insurable Risk Portfolios

Constructing Insurable Risk Portfolios offers a data-driven approach to devising risk retention programs that safeguard ......more

Mathematical Entity Linking Methods and Applications

Mathematical Entity Linking Methods and Applications

This research book explores the adaptation of traditional Entity Linking techniques to Mathematical Entity Linking (Math......more

Exercises in Statistical Reasoning

Exercises in Statistical Reasoning

Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This l......more

Exercises in Statistical Reasoning

Exercises in Statistical Reasoning

Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This l......more

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