Books in Information systems

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.

Computational Frameworks

1st Edition
March 28, 2017
Mamadou Kaba Traore
English
Hardback
9 7 8 1 7 8 5 4 8 2 5 6 4
eBook
9 7 8 0 0 8 1 0 2 3 1 6 7

Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.).

Cognitive Information Systems in Management Sciences

1st Edition
February 28, 2017
Lidia Dominika Ogiela
English
Paperback
9 7 8 0 1 2 8 0 3 8 0 3 1
eBook
9 7 8 0 1 2 8 0 3 8 7 5 8

Cognitive Information Systems in Management Sciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering. Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval. Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Big Data Analytics for Sensor-Network Collected Intelligence

1st Edition
February 2, 2017
Hui-Huang Hsu + 2 more
English
Paperback
9 7 8 0 1 2 8 0 9 3 9 3 1
eBook
9 7 8 0 1 2 8 0 9 6 2 5 3

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Temporal Data Mining via Unsupervised Ensemble Learning

1st Edition
November 15, 2016
Yun Yang
English
Paperback
9 7 8 0 1 2 8 1 1 6 5 4 8
eBook
9 7 8 0 1 2 8 1 1 8 4 1 2

Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics.

Sentiment Analysis in Social Networks

1st Edition
September 15, 2016
Federico Alberto Pozzi + 3 more
English
Paperback
9 7 8 0 1 2 8 0 4 4 1 2 4
eBook
9 7 8 0 1 2 8 0 4 4 3 8 4

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics

Building the Agile Enterprise

2nd Edition
September 8, 2016
Fred A. Cummins
English
Paperback
9 7 8 0 1 2 8 0 5 1 6 0 3
eBook
9 7 8 0 1 2 8 0 5 2 9 2 1

Building the Agile Enterprise with Capabilities, Collaborations and Values, Second Edition covers advances that make technology more powerful and pervasive while, at the same time, improving alignment of technology with business. Using numerous examples, illustrations, and case studies, Fred Cummins, an industry expert, author and former fellow with EDS and Hewlett Packard, updates his first edition incorporating the following industry developments: The ubiquitous use of the Internet along with intelligent, mobile devices, which have enabled everyone and everything to be connected anytime, anywhere The emergence of a “business architecture” discipline that has driven improvements in business design and transformation practices The development of CMMN (Case Management Model and Notation) that will provide automation to support the collaboration of knowledge workers and managers The development of VDML (Value Delivery Modeling Language) that supports modeling of business design from a management perspective The importance of “big data” management and analysis as a new source of insight into evolution of the business and the ecosystem How the architecture of the agile enterprise and business modeling change enterprise governance, management and innovation Building the Agile Enterprise with Capabilities, Collaborations and Values, Second Edition is a must have reference for business leaders, CTOs; business architects, information systems architects and business process modeling professionals who wish to close the gap between strategic planning and business operations as well as the gap between business and IT and enhance the creation and delivery of business value.

Eleventh Hour CISSP®

3rd Edition
September 3, 2016
Joshua Feldman + 2 more
English
Paperback
9 7 8 0 1 2 8 1 1 2 4 8 9
eBook
9 7 8 0 1 2 8 1 1 3 7 7 6

Eleventh Hour CISSP: Study Guide, Third Edition provides readers with a study guide on the most current version of the Certified Information Systems Security Professional exam. This book is streamlined to include only core certification information, and is presented for ease of last-minute studying. Main objectives of the exam are covered concisely with key concepts highlighted. The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide, with many more joining their ranks. This new third edition is aligned to cover all of the material in the most current version of the exam’s Common Body of Knowledge. All domains are covered as completely and concisely as possible, giving users the best possible chance of acing the exam.

The Data and Analytics Playbook

1st Edition
August 12, 2016
Lowell Fryman + 2 more
English
Paperback
9 7 8 0 1 2 8 0 2 3 0 7 5
eBook
9 7 8 0 1 2 8 0 2 5 4 7 5

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it. In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

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