ScholarIQanswers from OpenAlex
Data Management and Algorithms
TopicLeading institutions, researchers & key papers
Data Management and Algorithms is a topic indexed in ScholarIQ from OpenAlex.
What is known about Data Management and Algorithms?
ScholarIQrecord summary
This cluster of papers focuses on the mining, analysis, and querying of GPS trajectories and moving object data. It covers topics such as trajectory clustering, skyline computation, similarity search, top-k query processing, probabilistic databases, location prediction, and semantic trajectory modeling.
How many works does Data Management and Algorithms have?
ScholarIQindexed works
Data Management and Algorithms has 51 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Data Management and Algorithms?
ScholarIQopenalex
The OpenAlex for Data Management and Algorithms is on the source record.
What are the most-cited papers on Data Management and Algorithms?
ScholarIQmost cited works
Data Mining of User Navigation Patterns
José Borges, Mark Levene
Ontology based personalized route planning system using a multi-criteria decision making approach
Abolghasem Sadeghi‐Niaraki, Kye-Hyun Kim
Sumblr
Lidan Shou, Zhenhua Wang, Ke Chen, Gang Chen
Interactive Top-k Spatial Keyword queries
Kai Zheng, Han Su, Bolong Zheng, Shuo Shang, Jiajie Xu, Jiajun Liu, Xiaofang Zhou
Efficient Evaluation of All-Nearest-Neighbor Queries
Yun Chen, Jignesh M. Patel
Where is Data Management and Algorithms research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Data Management and Algorithms is open access?
ScholarIQopen access share
27%OPEN ACCESS