[PDF] Intelligent Integration Of Information eBook

Author : Gio Wiederhold
Publisher : Springer Science & Business Media
Page : 206 pages
File Size : 24,54 MB
Release : 2012-12-06
Category : Computers
ISBN : 1461304679

GET BOOK

Intelligent Integration of Information presents a collection of chapters bringing the science of intelligent integration forward. The focus on integration defines tasks that increase the value of information when information from multiple sources is accessed, related, and combined. This contributed volume has also been published as a special double issue of the Journal of Intelligent Information Systems (JIIS), Volume 6:2/3.

Author : Gio Wiederhold
Publisher :
Page : 212 pages
File Size : 44,83 MB
Release : 1996-07-31
Category :
ISBN : 9781461304685

GET BOOK

Intelligent Integration of Information presents a collection of chapters bringing the science of intelligent integration forward. The focus on integration defines tasks that increase the value of information when information from multiple sources is accessed, related, and combined. This contributed volume has also been published as a special double issue of the Journal of Intelligent Information Systems (JIIS), Volume 6:2/3.

Author : Michael Genesereth
Publisher : Morgan & Claypool Publishers
Page : 111 pages
File Size : 23,81 MB
Release : 2010
Category : Computers
ISBN : 1598297414

GET BOOK

Provides an introduction to the problem of data integration and offers a rigorous account of one of the leading approaches to solving this problem - the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way.

Author : Tareq Ahram
Publisher : Springer
Page : 0 pages
File Size : 14,99 MB
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 9783030395117

GET BOOK

This book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the areas of design, construction and operation of products, systems and services, and discusses the human factors in a wide range of settings. Gathering the proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020), held on February 19–21, 2020, in Modena, Italy, the book’s goal is to advance the theory and applications of artificial cognitive systems and improve human-artificial systems collaboration. Special emphasis is placed on automotive design, autonomous vehicles and the applications of artificial intelligence. The book offers a timely survey and source of inspiration for human factors engineers, automotive engineers, IT developers and UX designers who are working to shape the future of automated intelligent systems.

Author : Azevedo, Ana
Publisher : IGI Global
Page : 250 pages
File Size : 36,58 MB
Release : 2020-12-11
Category : Computers
ISBN : 1799857832

GET BOOK

As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.

Author : Kr¢l, Dariusz
Publisher : IGI Global
Page : 388 pages
File Size : 23,36 MB
Release : 2008-07-31
Category : Business & Economics
ISBN : 1599045788

GET BOOK

"This book covers a broad range of intelligence integration approaches in distributed knowledge systems, from Web-based systems through multi-agent and grid systems, ontology management to fuzzy approaches"--Provided by publisher.

Author : April Reeve
Publisher : Newnes
Page : 203 pages
File Size : 38,80 MB
Release : 2013-02-26
Category : Computers
ISBN : 0123977916

GET BOOK

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"