Foundations and Trends in Databases Impact Factor, Indexing, Ranking
Foundations and Trends in Databases (FTD) is a scholarly journal dedicated to publishing research in the field of Computer Science, and Published by Now Publishers.
The Print-ISSN to Foundations and Trends in Databases is 1931-7883 and its abbreviation is Found Trends Databases.
The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Databases publishes high-quality survey and tutorial monographs of the field.
Foundations and Trends® in Databases covers a breadth of topics relating to the management of large volumes of data. The journal targets the full scope of issues in data management, from theoretical foundations, to languages and modeling, to algorithms, system architecture, and applications. The list of topics below illustrates some of the intended coverage, though it is by no means exhaustive:
Data Models and Query Languages
Query Processing and Optimization
Storage, Access Methods, and Indexing
Transaction Management, Concurrency Control and Recovery
Deductive Databases
Parallel and Distributed Database Systems
Database Design and Tuning
Metadata Management
Object Management
Trigger Processing and Active Databases
Data Mining and OLAP
Approximate and Interactive Query Processing
Data Warehousing
Adaptive Query Processing
Data Stream Management
Search and Query Integration
XML and Semi-Structured Data
Web Services and Middleware
Data Integration and Exchange
Private and Secure Data Management
Peer-to-Peer, Sensornet and Mobile Data Management
Scientific and Spatial Data Management
Data Brokering and Publish/Subscribe
Data Cleaning and Information Extraction
Probabilistic Data Management
WOS Indexed Journals List 2024