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Software and Data Technologies

2008-11-022008-11-02
Software and Data Technologies PDF Author: Joaquim Filipe
Publisher: Springer Science & Business Media
ISBN: 3540886559
Category : Computers
Languages : en
Pages : 428

Book Description
This book contains the best papers of the Second International Conference on So- ware and Data Technologies (ICSOFT 2007), held in Barcelona, Spain. It was org- ized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST). The purpose of ICSOFT 2007 was to bring together researchers and practitioners int- ested in information technology and software development. The conference tracks were “Software Engineering,” “Information Systems and Data Management,” “Programming Languages,” “Distributed and Parallel Systems” and “Knowledge Engineering.” Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data quality and other related topics are included in the scope of this conference.

Software and Data Technologies

Software and Data Technologies PDF Author: Joaquim Filipe
Publisher: Springer Science & Business Media
ISBN: 3540886559
Category : Computers
Languages : en
Pages : 428

Book Description
This book contains the best papers of the Second International Conference on So- ware and Data Technologies (ICSOFT 2007), held in Barcelona, Spain. It was org- ized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST). The purpose of ICSOFT 2007 was to bring together researchers and practitioners int- ested in information technology and software development. The conference tracks were “Software Engineering,” “Information Systems and Data Management,” “Programming Languages,” “Distributed and Parallel Systems” and “Knowledge Engineering.” Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data quality and other related topics are included in the scope of this conference.

Software and Data Technologies

Software and Data Technologies PDF Author: José Cordeiro
Publisher: Springer
ISBN: 9783642454035
Category : Computers
Languages : en
Pages : 219

Book Description
This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Software and Data Technologies, ICSOFT 2012, held in Rome, Italy, in July 2012. The 14 revised full papers presented were carefully reviewed and selected from 127 submissions. The papers focus on the following research topics and applications: programming issues, theoretical aspects of software engineering, management information systems, distributed systems, ubiquity, data interoperability, context understanding.

Introduction to Data Technologies

Introduction to Data Technologies PDF Author: Paul Murrell
Publisher: CRC Press
ISBN: 9781420065183
Category : Mathematics
Languages : en
Pages : 418

Book Description
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on computational tools, the book shows readers how to improve their awareness of what tasks can be achieved and describes the correct approach to perform these tasks. Practical examples demonstrate the most important points The author first discusses how to write computer code using HTML as a concrete example. He then covers a variety of data storage topics, including different file formats, XML, and the structure and design issues of relational databases. After illustrating how to extract data from a relational database using SQL, the book presents tools and techniques for searching, sorting, tabulating, and manipulating data. It also introduces some very basic programming concepts as well as the R language for statistical computing. Each of these topics has supporting chapters that offer reference material on HTML, CSS, XML, DTD, SQL, R, and regular expressions. One-stop shop of introductory computing information Written by a member of the R Development Core Team, this resource shows readers how to apply data technologies to tasks within a research setting. Collecting material otherwise scattered across many books and the web, it explores how to publish information via the web, how to access information stored in different formats, and how to write small programs to automate simple, repetitive tasks.

Managing Emerging Data Technologies

Managing Emerging Data Technologies PDF Author: Duncan R. Shaw
Publisher: SAGE
ISBN: 1529784220
Category : Business & Economics
Languages : en
Pages : 257

Book Description
Emerging data technologies are one of several forces that are changing the world. Following a unique macro, meso and micro structure, this textbook shows how technologies such as the Internet of Things, Artificial Intelligence and data analytics are altering business operations and strategy.

Next Generation Data Technologies for Collective Computational Intelligence

Next Generation Data Technologies for Collective Computational Intelligence PDF Author: Nik Bessis
Publisher: Springer
ISBN: 3642203442
Category : Technology & Engineering
Languages : en
Pages : 638

Book Description
This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.

Handbook of Big Data Technologies

Handbook of Big Data Technologies PDF Author: Albert Y. Zomaya
Publisher: Springer
ISBN: 331949340X
Category : Computers
Languages : en
Pages : 895

Book Description
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

Big Data Management, Technologies, and Applications

Big Data Management, Technologies, and Applications PDF Author: Hu, Wen-Chen
Publisher: IGI Global
ISBN: 1466647000
Category : Computers
Languages : en
Pages : 342

Book Description
"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.

Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16) PDF Author: Ajith Abraham
Publisher: Springer
ISBN: 3319336096
Category : Technology & Engineering
Languages : en
Pages : 502

Book Description
This volume of Advances in Intelligent Systems and Computing contains papers presented in the main track of IITI 2016, the First International Conference on Intelligent Information Technologies for Industry held in May 16-21 in Sochi, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Russian Association for Fuzzy Systems and Soft Computing (RAFSSC). The volume is devoted to practical models and industrial applications related to intelligent information systems. The conference has been a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the-state-of-the-art in intelligent systems and soft computing are included in the proceedings as well.

Intelligence in Big Data Technologies—Beyond the Hype

Intelligence in Big Data Technologies—Beyond the Hype PDF Author: J. Dinesh Peter
Publisher: Springer Nature
ISBN: 9811552851
Category : Technology & Engineering
Languages : en
Pages : 636

Book Description
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

IoT and Big Data Technologies for Health Care

IoT and Big Data Technologies for Health Care PDF Author: Shuihua Wang
Publisher: Springer Nature
ISBN: 3030941825
Category : Medical
Languages : en
Pages : 524

Book Description
This two-volume set of LNICST 414 and 415 constitutes the refereed post-conference proceedings of the 2nd International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2021, which took place in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 79 revised full papers were carefully reviewed and selected from 165 submissions. The papers are arranged thematically as follows: Integrating healthcare with IoT; Information fusion for the devices of IoT; AI-based internet of medical things.

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