A
Ahmed K. Elmagarmid
Researcher at Qatar Computing Research Institute
Publications - 279
Citations - 24631
Ahmed K. Elmagarmid is an academic researcher from Qatar Computing Research Institute. The author has contributed to research in topics: Serializability & Query optimization. The author has an hindex of 62, co-authored 277 publications receiving 19411 citations. Previous affiliations of Ahmed K. Elmagarmid include Hewlett-Packard & Qatar Airways.
Papers
More filters
Journal ArticleDOI
Rayyan-a web and mobile app for systematic reviews.
TL;DR: The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users.
Journal ArticleDOI
Duplicate Record Detection: A Survey
TL;DR: This paper presents an extensive set of duplicate detection algorithms that can detect approximately duplicate records in a database and covers similarity metrics that are commonly used to detect similar field entries.
Book
Database transaction models for advanced applications
TL;DR: A Transaction Manager Development Facility for Non Standard Database Systems and Concepts and Applications of Multilevel Transactions and Open Nested Transactions and Using Polytransactions to Manage Interdependent Data are presented.
Journal ArticleDOI
Composing Web services on the Semantic Web
TL;DR: This paper proposes an ontology-based framework for the automatic composition of Web services with formal safeguards for meaningful composition through the use of composability rules, and provides an implementation using an E-government application offering customized services to indigent citizens.
Journal ArticleDOI
Automatic image segmentation by integrating color-edge extraction and seeded region growing
TL;DR: In this article, color edges in an image are first obtained automatically by combining an improved isotropic edge detector and a fast entropic thresholding technique, and the centroids between these adjacent edge regions are taken as the initial seeds for seeded region growing (SRG), these seeds are then replaced by the generated homogeneous image regions by incorporating the required additional pixels step by step.