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Data Analysis And Information Systems


Data Analysis And Information Systems
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Information Systems Engineering


Information Systems Engineering
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Author : Paul Johannesson
language : en
Publisher: IGI Global Snippet
Release Date : 2008

Information Systems Engineering written by Paul Johannesson and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.


Information systems belong to the most complex artifacts built in today's society. Developing, maintaining, and using an information system raises a large number of difficult problems, ranging from purely technical to organizational and social. ""Information Systems Engineering"" presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.



Environmental Information Systems


Environmental Information Systems
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Author : Oliver Günther
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Environmental Information Systems written by Oliver Günther and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.


Environmental information systems (EIS) are concerned with the management of data about the soil, the water, the air, and the species in the world around us. This first textbook on the topic gives a conceptual framework for EIS by structuring the data flow into 4 phases: data capture, storage, analysis, and metadata management. This flow corresponds to a complex aggregation process gradually transforming the incoming raw data into concise documents suitable for high-level decision support. All relevant concepts are covered, including statistical classification, data fusion, uncertainty management, knowledge based systems, GIS, spatial databases, multidimensional access methods, object-oriented databases, simulation models, and Internet-based information management. Several case studies present EIS in practice.



Data Analytics And Management


Data Analytics And Management
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Author : Ashish Khanna
language : en
Publisher: Springer Nature
Release Date : 2021-01-04

Data Analytics And Management written by Ashish Khanna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Technology & Engineering categories.


This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.



New Contributions In Information Systems And Technologies


New Contributions In Information Systems And Technologies
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Author : Alvaro Rocha
language : en
Publisher: Springer
Release Date : 2015-03-16

New Contributions In Information Systems And Technologies written by Alvaro Rocha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-16 with Technology & Engineering categories.


This book contains a selection of articles from The 2015 World Conference on Information Systems and Technologies (WorldCIST'15), held between the 1st and 3rd of April in Funchal, Madeira, Portugal, a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Human-Computer Interaction; Health Informatics; Information Technologies in Education; Information Technologies in Radio communications.



Machine Learning And Big Data Analytics Paradigms Analysis Applications And Challenges


Machine Learning And Big Data Analytics Paradigms Analysis Applications And Challenges
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2020-12-14

Machine Learning And Big Data Analytics Paradigms Analysis Applications And Challenges written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Computers categories.


This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.



Data Analysis For Database Design


Data Analysis For Database Design
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Author : David Howe
language : en
Publisher: Butterworth-Heinemann
Release Date : 2001-06-26

Data Analysis For Database Design written by David Howe and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-26 with Computers categories.


Database systems -- Database management system architecture -- Tables -- Redundant vs duplicated data -- Repeating groups -- Determinants and identifiers -- Fully-normalised tables -- Introduction to entity-relationship modelling -- Properties of relationships -- Decomposition of many-many relationships -- Connection traps -- Skeleton entity-relationship models -- Attribute assignment -- First-level design -- Second-level design -- Distributed database systems -- Relational algebra -- Query optimisation -- The SQL language -- Object-orientation.



Data And Information Quality


Data And Information Quality
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Author : Carlo Batini
language : en
Publisher: Springer
Release Date : 2016-03-23

Data And Information Quality written by Carlo Batini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Computers categories.


This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.



Nbs Special Publication


Nbs Special Publication
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Author :
language : en
Publisher:
Release Date : 1968

Nbs Special Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Weights and measures categories.




Computational Intelligence And Big Data Analytics


Computational Intelligence And Big Data Analytics
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Author : Ch. Satyanarayana
language : en
Publisher: Springer
Release Date : 2018-09-22

Computational Intelligence And Big Data Analytics written by Ch. Satyanarayana and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-22 with Computers categories.


This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.



Evaluating Information Systems


Evaluating Information Systems
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Author : Zahir Irani
language : en
Publisher: Routledge
Release Date : 2008-05-12

Evaluating Information Systems written by Zahir Irani and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-12 with Business & Economics categories.


The adoption of Information Technology (IT) and Information Systems (IS) represents significant financial investments, with alternative perspectives to the evaluation domain coming from both the public and private sectors. As a result of increasing IT/IS budgets and their growing significance within the development of an organizational infrastructure, the evaluation and performance measurement of new technology remains a perennial issue for management. This book offers a refreshing and updated insight into the social fabric and technical dimensions of IT/IS evaluation together with insights into approaches used to measure the impact of information systems on its stakeholders. In doing so, it describes the portfolio of appraisal techniques that support the justification of IT/IS investments. Evaluating Information Systems explores the concept of evaluation as an evolutionary and dynamic process that takes into account the ability of enterprise technologies to integrate information systems within and between organisations. In particular, when set against a backdrop of organisational learning. It examines the changing portfolio of benefits, costs and risks associated with the adoption and diffusion of technology in today's global marketplace. Finally approaches to impact assessment through performance management and benchmarking is discussed.