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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

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

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

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

An Invitation to Probability and Data Analysis for Physicists

An Invitation to Probability and Data Analysis for Physicists

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics. It is designe......more

Online Machine Learning: A Practical Guide with Examples in Python

Online Machine Learning: A Practical Guide with Examples in Python

  • Ingram,出版日期:2025-04-02

This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three par......more

Statistical Genetics: Analyses With R

Statistical Genetics: Analyses With R

This book is a guide to statistical genetics analyses with R. The focus will be on conveying concepts and theories, whil......more

Random Patterns and Structures in Spatial Data

Random Patterns and Structures in Spatial Data

The book presents a general mathematical framework able to detect and to characterise, from a morphological and statisti......more

Back to Statistics: Tail-Aware Control Performance Assessment

Back to Statistics: Tail-Aware Control Performance Assessment

Due to the popularity of artificial intelligence today, scientists and practitioners tend to ignore the achievements of ......more

Applied Nonparametric Statistical Methods

Applied Nonparametric Statistical Methods

Nonparametric statistical methods minimize the number of assumptions that need to be made about the distribution of data......more

Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis

Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis

  • Ingram,出版日期:2025-03-31

In today’s healthcare landscape, there is a pressing need for quantitative methodologies that include the patients’ pers......more

Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis

Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis

  • Ingram,出版日期:2025-03-31

In today’s healthcare landscape, there is a pressing need for quantitative methodologies that include the patients’ pers......more

Multivariate Statistics: Classical Foundations and Modernmachine Learning

Multivariate Statistics: Classical Foundations and Modernmachine Learning

This book explores multivariate statistics from both traditional and modern perspectives. The first section covers core ......more

Emerging Wireless Technologies and Sciences: Second International Conference, Icewts 2024, Uttarakhand, India, October 6-7, 2024, Proceedings

Emerging Wireless Technologies and Sciences: Second International Conference, Icewts 2024, Uttarakhand, India, October 6-7, 2024, Proceedings

  • Ingram,出版日期:2025-03-30

This book constitutes the refereed proceedings of the Second International Conference on Emerging Wireless Technologies ......more

Process Mining Workshops: Icpm 2024 International Workshops, Lyngby, Denmark, October 14-18, 2024, Revised Selected Papers

Process Mining Workshops: Icpm 2024 International Workshops, Lyngby, Denmark, October 14-18, 2024, Revised Selected Papers

  • Ingram,出版日期:2025-03-28

This book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th Inter......more

Advanced Modeling and Inference: Learning Latent Structures and Causality from Data

Advanced Modeling and Inference: Learning Latent Structures and Causality from Data

Inferring latent structure and causality is crucial for understanding underlying patterns and relationships hidden in th......more

Paradoxes and Physical Limits of Information Theory

Paradoxes and Physical Limits of Information Theory

The unique compendium starts with a simplified version of the information theory which allows any beginner in math to em......more

Counterexamples in Markov Decision Processes

Counterexamples in Markov Decision Processes

Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history.......more

Linear Models with R

Linear Models with R

A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and ......more

Design, Learning, and Innovation: 9th Eai International Conference, DLI 2024, Virtual Event, November 7-8, 2024, Proceedings

Design, Learning, and Innovation: 9th Eai International Conference, DLI 2024, Virtual Event, November 7-8, 2024, Proceedings

  • Ingram,出版日期:2025-03-21

This book constitutes the refereed proceedings of the 9th EAI International Conference on Design, Learning, and Innovati......more

Biogeobears - a Bayesian Approach to Biogeography

Biogeobears - a Bayesian Approach to Biogeography

Biogeography has been dominated by a "dispersal versus vicariance" debate. Users of computational methods, which include......more

Advanced Multimodal Compatibility Modeling and Recommendation

Advanced Multimodal Compatibility Modeling and Recommendation

This Third Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recom......more

Database Engineered Applications: 28th International Symposium, Ideas 2024, Bayonne, France, August 26-29, 2024, Proceedings

Database Engineered Applications: 28th International Symposium, Ideas 2024, Bayonne, France, August 26-29, 2024, Proceedings

  • Ingram,出版日期:2025-03-16

This LNCS conference volume constitutes the proceedings of 28th International Symposium on Database Engineered Applicati......more

Advanced Mathematical Science for Mobility Society

Advanced Mathematical Science for Mobility Society

  • Ingram,出版日期:2025-03-15

This open access book presents the mathematical methods for huge data and network analysis. The automotive industry has ......more

Theory of Stochastic Integrals

Theory of Stochastic Integrals

In applications of stochastic calculus, there are phenomena that cannot be analyzed through the classical Itô theory. It......more

Theory of Stochastic Integrals

Theory of Stochastic Integrals

In applications of stochastic calculus, there are phenomena that cannot be analyzed through the classical Itô theory. It......more

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