Recent Advances in Data and Algorithms for e-Government

✍ Scribed by Christophe Gaie; Mayuri Mehta

Publisher: Springer Nature
Year: 2023
Tongue: English
Leaves: 244
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.

📜 SIMILAR VOLUMES

Recent Advances in Data and Algorithms f

📁 Recent Advances in Data and Algorithms for e-Government

✍ Christophe Gaie, Mayuri Mehta 📂 Library 📅 2023 🏛 Springer 🌐 English

<p><span>This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algori

Recent Advances In Data Mining Of Enterp

📁 Recent Advances In Data Mining Of Enterprise Data: Algorithms and Applications

✍ T. Warren Liao, Evangelos Triantaphyllou 📂 Library 📅 2008 🏛 World Scientific Publishing Company 🌐 English

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as enterprise data . The common characteristic of such datasets is that the analyst wishes to a

Recent Advances in Algorithms and Combin

📁 Recent Advances in Algorithms and Combinatorics

✍ Editors: Bruce A. Reed and Claudia L. Sales 📂 Library 📅 2002 🌐 English

Excellent authors, such as Lovasz, one of the five best combinatorialists in the world; Thematic linking that makes it a coherent collection; Will appeal to a variety of communities, such as mathematics, computer science and operations research

Recent Advances in Algorithms and Combin

📁 Recent Advances in Algorithms and Combinatorics

✍ M. H. de Carvalho, C. L. Lucchesi (auth.), Bruce A. Reed, Cláudia L. Sales (eds. 📂 Library 📅 2003 🏛 Springer-Verlag New York 🌐 English

<p>Combinatorics is one of the fastest growing fields of mathematics. One reason for this is because many practical problems can be modeled and then efficiently solved using combinatorial theory. This real world motivation for studying algorithmic combinatorics has led not only to the development of

Recent advances in algorithms and combin

📁 Recent advances in algorithms and combinatorics

✍ Bruce A. Reed, Claudia L. Linhares-Sales 📂 Library 📅 2003 🏛 Springer 🌐 English

Recent Advances in Algorithms and Combin

📁 Recent Advances in Algorithms and Combinatorics

✍ Bruce A. Reed, Claudia L. Linhares-Sales 📂 Library 📅 2003 🏛 Springer 🌐 English

This book consists of nine survey articles written by outstanding researchers on various recent advances in algorithmic combinatorics. The articles cover both recent areas of application and exciting new theoretical developments. The book is accessible to Ph.D. students in discrete mathematics or th