Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Shanika Karunasekera"'
Publikováno v:
IEEE Access, Vol 12, Pp 49050-49061 (2024)
In the digital age, online reviews significantly influence consumer purchasing decisions. However, there is a growing concern about fake reviews undermining their credibility. While existing research underscores the significance of online reviews for
Externí odkaz:
https://doaj.org/article/8a73ad696a8a481aad112f00218abc23
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109229- (2023)
The COVID-19 pandemic has introduced new norms, such as social distancing, face masks, quarantine, lockdowns, travel restrictions, work/study from home, and business closures, to name a few. The pandemic’s seriousness has made people vocal on socia
Externí odkaz:
https://doaj.org/article/0b647d2d6c5d4126a6cee289196b154d
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-38 (2022)
Abstract Online social networking services like Twitter are frequently used for discussions on numerous topics of interest, which range from mainstream and popular topics (e.g., music and movies) to niche and specialized topics (e.g., politics). Due
Externí odkaz:
https://doaj.org/article/070fc6c246f441739683e31f18679814
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 16, Iss 7, Pp 3406-3424 (2021)
Drawing upon the heuristic–systematic model (HSM) and considering the readers’ perspective, this study predicts that readers’ involvement and homophily between the reader and the review author (source) moderate the relationships between the cre
Externí odkaz:
https://doaj.org/article/9a1823082de84c6bba28417427caa2f9
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-28 (2021)
Abstract A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are useful for early warning for accident, protest, election or break
Externí odkaz:
https://doaj.org/article/b0de21dea8bb4a099237839017973a61
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems. 9:1-34
Spatial simulations have been widely used to study real-world environments, such as transportation systems. Applications like prediction and analysis of transportation require the simulation to handle millions of objects while running faster than rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc144a41d11e9949f88115b7f3d9533
https://doi.org/10.1145/3578933
https://doi.org/10.1145/3578933
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:1695-1710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4e96d1d115925c0957a55a8640e84a1
https://doi.org/10.1109/tpds.2021.3124670
https://doi.org/10.1109/tpds.2021.3124670
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:8315-8323
Deep Neural Networks (DNNs) generally require large-scale datasets for training. Since manually obtaining clean labels for large datasets is extremely expensive, unsupervised models based on domain-specific heuristics can be used to efficiently infer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d3c1ca0dd7e34741644c5842e474338
https://doi.org/10.1609/aaai.v36i8.20806
https://doi.org/10.1609/aaai.v36i8.20806
Publikováno v:
IEEE Transactions on Computers. 71:1117-1132
Big data frameworks such as Apache Spark are becoming prominent to perform large-scale data analytics jobs. However, local or on-premise computing resources are often not sufficient to run these jobs. Therefore, public cloud resources can be hired on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3a7ab3b416e637329ef6f2611e86c13
https://doi.org/10.1109/tc.2021.3075625
https://doi.org/10.1109/tc.2021.3075625
Publikováno v:
ACM Computing Surveys. 54:1-36
Serverless computing has emerged as an attractive deployment option for cloud applications in recent times. The unique features of this computing model include, rapid auto-scaling, strong isolation, fine-grained billing options and access to a massiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e03536d8da61556d5c12aaa0e0cf88
https://doi.org/10.1145/3510412
https://doi.org/10.1145/3510412