RID 2015 - Call for Chapters: Handbook of Research on Innovative Database Query Processing Techniques
Topics/Call fo Papers
For release in the Advances in Data Mining and Database Management Book Series.
Series Editor: David Taniar (Monash University, Australia)
ISSN: 2327-1981
The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.
Databases are designed to support data storage, processing, and retrieval activities related to data management. The wide usage of databases in various applications has resulted in an enormous wealth of data, which populate a great variety of databases around the world. One can find many types of database systems, for example, relational databases, object-oriented databases, object-relational databases, deductive databases, parallel databases, distributed databases, multidatabase systems, Web databases, XML databases, multimedia databases, temporal/spatial databases, spatiotemporal databases, and uncertain databases. Recently some new databases are emerging, for example, NoSQL and NewSQL for big data management, RDF databases for metadata management, ontology bases for knowledge management in the Semantic Web, and so on. Nowadays databases have become the repositories of large volumes of data. So it is very critical to deal with the enormity and retrieve the worth information for effective problem solving and decision making. It is especially true when a variety of database types, data types and users’ requirements as well as large volumes of data are available. Database queries are the fields which must be investigated by academic researchers together with developers and users both from database and industry areas.
Objective
This book will aim to provide a single record of current advances in database queries. The objective is to provide state of the art information to academics, researchers and industry practitioners who are involved or interested in the study, use, design and development of advanced and emerging database technologies with ultimate aim to empower individuals and organizations in building competencies for exploiting the opportunities of the data and knowledge society.
Target Audience
The target audience of this book will be composed of professionals and researchers working in the field of database queries and information retrieval in studies, developments and applications. Moreover, the book will provide insights and support executives concerned with the data management in different types of work communities and environments.
Recommended Topics
Top-k queries
Key queries
Contextual queries
Semantic queries
Fuzzy/flexible/imprecise/approximate queries
Personalized/Preference queries
Queries of near neighbors
Skyline queries
Query rewriting
Meta data queries
Big data queries
Query languages
Domain-specific data queries
Submission Procedure
Researchers and practitioners are invited to submit on or before June 15, 2014, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by July 1, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 15, 2014. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
All proposals should be submitted through the link at the bottom of this page.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2015.
Important Dates
June 15, 2014: Proposal Submission Deadline
July 15, 2014: Notification of Acceptance
October 15, 2014: Full Chapter Submission
December 15, 2014: Review Results Returned
February 15, 2015: Final Acceptance Notification
February 28, 2015: Final Chapter Submission
Inquiries
Dr. Li Yan
School of Software
NORTHEASTERN UNIVERSITY
Telephone: 86-24-836-81582 ? Fax: 86-24-836-81582
E-mail: call.for.submission-AT-gmail.com
Series Editor: David Taniar (Monash University, Australia)
ISSN: 2327-1981
The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.
Databases are designed to support data storage, processing, and retrieval activities related to data management. The wide usage of databases in various applications has resulted in an enormous wealth of data, which populate a great variety of databases around the world. One can find many types of database systems, for example, relational databases, object-oriented databases, object-relational databases, deductive databases, parallel databases, distributed databases, multidatabase systems, Web databases, XML databases, multimedia databases, temporal/spatial databases, spatiotemporal databases, and uncertain databases. Recently some new databases are emerging, for example, NoSQL and NewSQL for big data management, RDF databases for metadata management, ontology bases for knowledge management in the Semantic Web, and so on. Nowadays databases have become the repositories of large volumes of data. So it is very critical to deal with the enormity and retrieve the worth information for effective problem solving and decision making. It is especially true when a variety of database types, data types and users’ requirements as well as large volumes of data are available. Database queries are the fields which must be investigated by academic researchers together with developers and users both from database and industry areas.
Objective
This book will aim to provide a single record of current advances in database queries. The objective is to provide state of the art information to academics, researchers and industry practitioners who are involved or interested in the study, use, design and development of advanced and emerging database technologies with ultimate aim to empower individuals and organizations in building competencies for exploiting the opportunities of the data and knowledge society.
Target Audience
The target audience of this book will be composed of professionals and researchers working in the field of database queries and information retrieval in studies, developments and applications. Moreover, the book will provide insights and support executives concerned with the data management in different types of work communities and environments.
Recommended Topics
Top-k queries
Key queries
Contextual queries
Semantic queries
Fuzzy/flexible/imprecise/approximate queries
Personalized/Preference queries
Queries of near neighbors
Skyline queries
Query rewriting
Meta data queries
Big data queries
Query languages
Domain-specific data queries
Submission Procedure
Researchers and practitioners are invited to submit on or before June 15, 2014, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by July 1, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 15, 2014. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
All proposals should be submitted through the link at the bottom of this page.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2015.
Important Dates
June 15, 2014: Proposal Submission Deadline
July 15, 2014: Notification of Acceptance
October 15, 2014: Full Chapter Submission
December 15, 2014: Review Results Returned
February 15, 2015: Final Acceptance Notification
February 28, 2015: Final Chapter Submission
Inquiries
Dr. Li Yan
School of Software
NORTHEASTERN UNIVERSITY
Telephone: 86-24-836-81582 ? Fax: 86-24-836-81582
E-mail: call.for.submission-AT-gmail.com
Other CFPs
Last modified: 2014-05-06 23:12:15