Books in Information systems

Mathematical Modeling for Big Data Analytics

1st Edition
November 1, 2025
Passent El-Kafrawy + 1 more
English
Paperback
9 7 8 0 4 4 3 2 6 7 3 5 2
eBook
9 7 8 0 4 4 3 2 6 7 3 6 9

Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques.This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Digital Transformation and Equitable Global Health

1st Edition
September 10, 2025
Arletty Pinel + 2 more
English
eBook
9 7 8 0 4 4 3 2 1 4 8 8 2

Digital Transformation and Equitable Global Health: A Future-Ready Perspective presents a collective body of knowledge and global experiences that demonstrate current status and future trends in the use of exponential technologies and their potential for poverty reduction, improving health outcomes, strengthening health systems, and transforming traditional development aid structures. The book uses a translational innovation perspective to guide the reader—regardless of their area of expertise—on the rationale behind the co-creation of human-centered, affordable, and sustainable digital solutions.It addresses the interest of professionals from multiple areas (e.g., technology, health, social development, global financing), and it is a valuable resource for professionals, social scientists, practitioners, researchers, instructors, and undergraduate and graduate students interested in understanding the challenges and complexities of global public health and the applied uses of health technologies for equitable access to primary health care and universal health coverage.

Professional Penetration Testing

3rd Edition
January 21, 2025
Thomas Wilhelm
English
Paperback
9 7 8 0 4 4 3 2 6 4 7 8 8
eBook
9 7 8 0 4 4 3 2 6 4 7 9 5

Professional Penetration Testing: Creating and Learning in a Hacking Lab, Third Edition walks the reader through the entire process of setting up and running a pen test lab. Penetration testing—the act of testing a computer network to find security vulnerabilities before they are maliciously exploited—is a crucial component of information security in any organization. Chapters cover planning, metrics, and methodologies, the details of running a pen test, including identifying and verifying vulnerabilities, and archiving, reporting and management practices. The material presented will be useful to beginners through advanced practitioners.Here, author Thomas Wilhelm has delivered penetration testing training to countless security professionals, and now through the pages of this book, the reader can benefit from his years of experience as a professional penetration tester and educator. After reading this book, the reader will be able to create a personal penetration test lab that can deal with real-world vulnerability scenarios. "...this is a detailed and thorough examination of both the technicalities and the business of pen-testing, and an excellent starting point for anyone getting into the field." –Network Security

The Essential Criteria of Graph Databases

1st Edition
January 16, 2024
Ricky Sun
English
Paperback
9 7 8 0 4 4 3 1 4 1 6 2 1
eBook
9 7 8 0 4 4 3 1 4 1 6 3 8

The Essential Criteria of Graph Databases collects several truly innovative graph applications in asset-liability and liquidity risk management to spark readers’ interest and further broaden the reach and applicable domains of graph systems. Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability, 2. Silos, slews of siloed systems across the AI ecosystem, 3. Low-performance, as most of ML/DL based AI systems are SLOW. Hence, fixing these problems paves the road to strong and effective AI.

Machine Learning

2nd Edition
March 1, 2023
Marco Gori + 2 more
English
Paperback
9 7 8 0 3 2 3 8 9 8 5 9 1
eBook
9 7 8 0 3 2 3 9 8 4 6 9 0

Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.

Classification Made Relevant

1st Edition
January 25, 2022
Jules J. Berman
English
Paperback
9 7 8 0 3 2 3 9 1 7 8 6 5
eBook
9 7 8 0 3 2 3 9 7 2 5 8 1

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded.

Data Stewardship

2nd Edition
October 31, 2020
David Plotkin
English
Paperback
9 7 8 0 1 2 8 2 2 1 3 2 7
eBook
9 7 8 0 1 2 8 2 2 1 6 7 9

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.

Handbook of Probabilistic Models

1st Edition
October 5, 2019
Pijush Samui + 3 more
English
Paperback
9 7 8 0 1 2 8 1 6 5 1 4 0
eBook
9 7 8 0 1 2 8 1 6 5 4 6 1

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more.

From Digital Traces to Algorithmic Projections

1st Edition
September 7, 2018
Thierry Berthier + 1 more
English
Hardback
9 7 8 1 7 8 5 4 8 2 7 0 0
eBook
9 7 8 0 0 8 1 0 2 3 6 9 3

From Digital Traces to Algorithmic Projections describes individual digital fingerprints in interaction with the different algorithms they encounter throughout life. Centered on the human user, this formalism makes it possible to distinguish the voluntary projections of an individual and their systemic projections (suffered, metadata), both open (public) and closed. As the global algorithmic projection of an individual is now the focus of attention (Big Data, neuromarketing, targeted advertising, sentiment analysis, cybermonitoring, etc.) and is used to define new concepts, this resource discusses the ubiquity of place and the algorithmic consent of a user.

Clinical Informatics Literacy

1st Edition
July 28, 2017
Dean F. Sittig
English
Paperback
9 7 8 0 1 2 8 0 3 2 0 6 0
eBook
9 7 8 0 1 2 8 0 3 2 0 7 7

Clinical Informatics Literacy: 5000 Concepts That Every Informatician Should Know is about all aspects of clinical informatics, a subset of the larger field of biomedical informatics. Clinical Informatics is an applied field that exists at the intersection of the fields of medicine, computer science, information science, anthropology, human factors engineering, cognitive psychology and health services research. As such informaticians are required to have an extremely broad understanding of a considerable swath of the fields at the heart of the health-oriented knowledge economy. The author has collected and explained each one of the relevant concepts during his experience of 27 years working with many of the leaders in the field of clinical informatics at several of the leading academic healthcare institutions around the USA. The author’s experience and his didactic approach make this book an essential source of information for all participants in the clinical informatics field.

Related subjects

Database management

Information interfaces and presentation

Information storage and retrieval

Information systems applications

Information systems general

Models and principles

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health