Data-Mining – Bücher, CDs, LPs und mehr, Seite 10

Sebastiano Vasi, Ulderico Wanderlingh, Giuseppe Mandaglio

Open Source Tools for Physics Data Analysis

This textbook aims to provide computing skills to analyze data collected by means of several types of experiments. Generally speaking, the analysis of data is complementary to experimental and/or theoreti…

Regina Stodden

Automatic German Text Simplification: Data, Evaluation, and Models

Texts written in simplified language are essential for accessible communication. However, manually writing accessible texts or simplifying difficult-to-read texts into accessible language is very time-con…

Africa Data, Artificial Intelligence and Innovations

This volume constitutes the proceedings of 1st International Conference on Africa Data, Artificial Intelligence and Innovations, AFRI2 2025, in Koudougou, Burkina Faso, during February 27--28, 2025.The 14…

Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

Applied Machine Learning and Data Analytics

This book constitutes the revised selected papers of the 7th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2024, held in Shamshabad, India, during December 20--21, 2024.Th…

Digital Tools and Data for Innovative Healthcare

Digital Tools and Data for Innovative Healthcare: A Vision for Healthier and More Inclusive Societies is an invaluable resource for addressing the critical needs of healthcare professionals and researcher…

Jevin D. West, Carl T. Bergstrom

Calling Bullshit

'A necessary book for our times. But also just great fun' Saul Perlmutter, Nobel Laureate The world is awash in bullshit, and we're drowning in it. Politicians are unconstrained by facts. Science is condu…

Shishir Kumar Shandilya, Agni Datta, Yash Kartik, Atulya Nagar

Digital Resilience: Navigating Disruption and Safeguarding Data Privacy

This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data …

Jorge Drexler

Bailar En La Cueva

Kevin J Grimm

Categorical Data Analysis with Structural Equation Models

**Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly.**Providing needed skills…

Denis Krutikov

Data Science und Machine Learning für alle

Die Begriffe Machine Learning, künstliche Intelligenz und Data Science sind inzwischen so allgegenwärtig in den Medien, in der Politik und in Unternehmen, dass in nahezu allen Bevölkerungs- und Berufsgrup…

Big Data und KI bei der Polizei

Die Verarbeitung großer Datenmengen zum Zweck der Informationsgewinnung ist zentraler Bestandteil sicherheitsbehördlicher Tätigkeit im Rahmen der Gefahrenabwehr und der Strafverfolgung. In der Folge ist i…

Theresa Payton, Ted Claypoole

Privacy in the Age of Big Data

We have a global privacy problem. The average person provides their personal information to outsiders more than any other time in history. Corporations, governments and even our neighbors can know where w…

Advances in Computing and Data Sciences

This book constitutes the revised selected papers of the 9th International Conference on Advances in Computing and Data Sciences, ICACDS 2025, held in Tallinn, Estonia, during August 28--29, 2025.The 24 f…

Gianvito Lanzolla, Constantinos Markides

Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

Ashis Sengupta, Kunio Shimizu

Probability Distributions for Directional Data on Smooth Manifolds

This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then…

Model Order Reduction, Volume 1, System- and Data-Driven Methods and Algorithms

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. Th…

Axel Bohmann, Julia Müller, Mirka Honkanen

Linguistic Data Science and the English Passive

The choice between BE and GET as auxiliary verbs, as in "She was promoted" vs "She got promoted", is a central,grammatical feature, yet the many proposed nuances conditioning this phen…

Gianvito Lanzolla, Constantinos Markides

Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…