Statistical And Scientific Database Management
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Statistical And Scientific Database Management
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Author : Maurizio Rafanelli
language : en
Publisher: Springer Science & Business Media
Release Date : 1989-02-08
Statistical And Scientific Database Management written by Maurizio Rafanelli 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 1989-02-08 with Computers categories.
The Fourth International Working Conference on Statistical and Scientific Data Base Management (IV SSDBM) held on June 21-23, 1988 in Rome, Italy, continued the series of conferences initiated in California in December 1981. The purpose of this conference was to bring together database researchers, users and system builders, working in this specific field, to discuss the particular points of interest, to propose new solutions to the problems of the domain and to expand the topics of the previous conferences, both from the theoretical and from the applicational point of view. The papers of four scientific sessions dealt with the following topics: knowledge base and expert system, data model, natural language processing, query language, time performance, user interface, heterogeneous data classification, storage constraints, automatic drawing, ranges and trackers, and arithmetic coding. Two other special sessions presented work on progress papers on geographical data modelling, spatial database queries, user interface in an Object Oriented SDB, interpretation of queries, graphical query language and knowledge browsing front ends. The conference also had three invited papers on topics of particular interest such as "Temporal Data", "Statistical Data Management Requirements" and "Knowledge Based Decision Support Systems", included in this volume. The introductory paper by M. Rafanelli provides both an introduction to the general concepts helpful to people outside the field and a survey of all the papers in these Proceedings. Furthermore, there were three open panels. Papers by the chairmen, contributions of the panelists and a summary of the respective discussions are included in this volume, too.
Statistical And Scientific Database Management
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Author : Zbigniew Michalewicz
language : en
Publisher: Springer Science & Business Media
Release Date : 1990-03-07
Statistical And Scientific Database Management written by Zbigniew Michalewicz 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 1990-03-07 with Computers categories.
The purpose of the Fifth International Conference on Statistical and Scientific Databases was to bring together database researchers, users, and system builders, to discuss the particular issues of interest and to propose new solutions to the problems of the area, both from the theoretical and from the application point of view. This proceedings volume contains three invited papers as well as the other 13 contributions. The papers cover a wide area of research: object oriented database systems, semantic modelling, deductive mathematical databases, security of statistical databases, implementational issues for scientific databases, temporal summary table management, graphical and visual interfaces, query optimization, distributed databases, and economic and geographical databases.
Scientific And Statistical Database Management
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Author : Judith Bayard Cushing
language : en
Publisher: Springer
Release Date : 2011-07-01
Scientific And Statistical Database Management written by Judith Bayard Cushing and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-01 with Computers categories.
This book constitutes the refereed proceedings of the 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011, held in Portland, OR, USA, in July 2011. The 26 long and 12 short papers presented together with 15 posters were carefully reviewed and selected from 80 submissions. The topics covered are ranked search; temporal data and queries; workflow and provenance; querying graphs; clustering and data mining; architectures and privacy; and applications and models.
Data Management For Social Scientists
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Author : Nils B. Weidmann
language : en
Publisher: Cambridge University Press
Release Date : 2023-03-09
Data Management For Social Scientists written by Nils B. Weidmann and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-09 with Social Science categories.
Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
Scientific And Statistical Database Management
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Author : Bertram Ludäscher
language : en
Publisher: Springer
Release Date : 2008-07-11
Scientific And Statistical Database Management written by Bertram Ludäscher and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-11 with Computers categories.
This book constitutes the refereed proceedings of the 20th International Conference on Scientific and Statistical Database Management, SSDBM 2008, held in Hong Kong, China, in July 2008. The 28 revised full papers, 7 revised short papers and 8 poster and demo papers presented together with 3 invited talks were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on query optimization in scientific databases, privacy, searching and mining graphs, data streams, scientific database applications, advanced indexing methods, data mining, as well as advanced queries and uncertain data.
Scientific And Statistical Database Management
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Author : Bertram Ludäscher
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-07-08
Scientific And Statistical Database Management written by Bertram Ludäscher 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 2008-07-08 with Computers categories.
This book constitutes the refereed proceedings of the 20th International Conference on Scientific and Statistical Database Management, SSDBM 2008, held in Hong Kong, China, in July 2008. The 28 revised full papers, 7 revised short papers and 8 poster and demo papers presented together with 3 invited talks were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on query optimization in scientific databases, privacy, searching and mining graphs, data streams, scientific database applications, advanced indexing methods, data mining, as well as advanced queries and uncertain data.
Scientific And Statistical Database Management
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Author : Michael Gertz
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-17
Scientific And Statistical Database Management written by Michael Gertz 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 2010-06-17 with Computers categories.
This book constitutes the proceedings of the 22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010, held in Heidelberg, Germany in June/July 2010. The 30 long and 11 short papers presented were carefully reviewed and selected from 94 submissions. The topics covered are query processing; scientific data management and analysis; data mining; indexes and data representation; scientific workflow and provenance; and data stream processing.
Scientific And Statistical Database Management
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Author : Michael Gertz
language : en
Publisher: Springer
Release Date : 2010-06-27
Scientific And Statistical Database Management written by Michael Gertz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-27 with Computers categories.
This book constitutes the proceedings of the 22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010, held in Heidelberg, Germany in June/July 2010. The 30 long and 11 short papers presented were carefully reviewed and selected from 94 submissions. The topics covered are query processing; scientific data management and analysis; data mining; indexes and data representation; scientific workflow and provenance; and data stream processing.
Statistical And Scientific Database Management
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Author : Maurizio Rafanelli
language : en
Publisher: Springer
Release Date : 1989-02-08
Statistical And Scientific Database Management written by Maurizio Rafanelli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-02-08 with Computers categories.
The Fourth International Working Conference on Statistical and Scientific Data Base Management (IV SSDBM) held on June 21-23, 1988 in Rome, Italy, continued the series of conferences initiated in California in December 1981. The purpose of this conference was to bring together database researchers, users and system builders, working in this specific field, to discuss the particular points of interest, to propose new solutions to the problems of the domain and to expand the topics of the previous conferences, both from the theoretical and from the applicational point of view. The papers of four scientific sessions dealt with the following topics: knowledge base and expert system, data model, natural language processing, query language, time performance, user interface, heterogeneous data classification, storage constraints, automatic drawing, ranges and trackers, and arithmetic coding. Two other special sessions presented work on progress papers on geographical data modelling, spatial database queries, user interface in an Object Oriented SDB, interpretation of queries, graphical query language and knowledge browsing front ends. The conference also had three invited papers on topics of particular interest such as "Temporal Data", "Statistical Data Management Requirements" and "Knowledge Based Decision Support Systems", included in this volume. The introductory paper by M. Rafanelli provides both an introduction to the general concepts helpful to people outside the field and a survey of all the papers in these Proceedings. Furthermore, there were three open panels. Papers by the chairmen, contributions of the panelists and a summary of the respective discussions are included in this volume, too.
Data Management For Researchers
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Author : Kristin Briney
language : en
Publisher: Pelagic Publishing Ltd
Release Date : 2015-09-01
Data Management For Researchers written by Kristin Briney and has been published by Pelagic Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-01 with Computers categories.
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin