Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Thanaa M. Ghanem"'
Autor:
Dalia Sulieman, Thanaa M. Ghanem, Simon Jin, Katherine Johnson, Wei Wei, Ismail Bile Hassan, David Jacobson
Publikováno v:
SIGCSE
There is an increasing demand for data scientists in the current job market. Hence, many two-year and four-year colleges and universities started to offer Data Science degrees in the recent decade. In this paper, we describe an undergraduate Data Sci
Publikováno v:
GRADES/NDA@SIGMOD/PODS
In this paper, we present a use case of graph data management systems in the health care domain. Basically, we used Neo4j as a platform to store and analyze tweets that mention at least one opioid-related keyword. Opioid (mis)use is an escalating pub
Publikováno v:
HT
Twitter is one of the top-growing online communities in the last years. In this poster, we study the language usage and diversity in Twitter local communities. We identify local communities in Twitter on a country-level. For each community, we examin
Publikováno v:
ACM Transactions on Database Systems. 35:1-47
In relational database management systems, views supplement basic query constructs to cope with the demand for “higher-level” views of data. Moreover, in traditional query optimization, answering a query using a set of existing materialized views
Autor:
Louai Alarabi, Saif Al-Harthi, Thanaa M. Ghanem, Mohamed F. Mokbel, Amr Magdy, Sohaib Ghani, Mashaal Musleh
Publikováno v:
SIGSPATIAL/GIS
This paper presents Taghreed; a full-fledged system for efficient and scalable querying, analyzing, and visualizing geotagged microblogs, e.g., tweets. Taghreed supports arbitrary queries on a large number (Billions) of microblogs that go up to sever
Publikováno v:
GeoRich@SIGMOD
Social media services are the top-growing online communities in the last few years. Among those, Twitter becomes the de facto of microblogging services with millions of tweets posted everyday. In this paper, we present an analytical study for localiz
Publikováno v:
Learning from Data Streams ISBN: 9783540736783
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::838ccd00697ac2455548358e8a3a8489
https://doi.org/10.1007/3-540-73679-4_5
https://doi.org/10.1007/3-540-73679-4_5
Autor:
Thanaa M. Ghanem
Publikováno v:
ICDE Workshops
The window query model is widely used in data stream management systems where the focus of a continuous query is limited to a set of the most recent tuples. In this dissertation, we show that an interesting and important class of continuous queries c
Publikováno v:
Department of Computer Science Technical Reports
The continuous sliding-window query model is used widely in data stream management systems where the focus of a continuous query is limited to a set of the most recent tuples. In this paper, we show that an interesting and important class of queries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37e76419b2b3d50485697a1a3508a090
https://docs.lib.purdue.edu/cstech/1622
https://docs.lib.purdue.edu/cstech/1622
Publikováno v:
ICDE
The emergence of extensible index structures, e.g., GiST (generalized search tree) [J.M. Hellerstein et al. (1995)] and SP-GiST (space-partitioning generalized search tree) [W. G Aref et al., (2001)], calls for a set of extensible algorithms to suppo