Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tahrima Hashem"'
Autor:
Shannon Ryan, Neeraj Mohan Sushma, Arun Kumar AV, Julian Berk, Tahrima Hashem, Santu Rana, Svetha Venkatesh
Publikováno v:
Defence Technology, Vol 31, Iss , Pp 14-26 (2024)
Machine learning (ML) is well suited for the prediction of high-complexity, high-dimensional problems such as those encountered in terminal ballistics. We evaluate the performance of four popular ML-based regression models, extreme gradient boosting
Externí odkaz:
https://doaj.org/article/f8ae746baea649ff92acbd13d22b2430
Publikováno v:
Expert Systems with Applications. 67:252-271
Efficient approach to mine frequent closed itemsets and their lattice structure.We propose a new memory efficient dynamic superset bit-vector (DSBV) structure.New candidate pruning techniques are developed.DSBV establishes hierarchical subset-superse
Publikováno v:
Similarity Search and Applications ISBN: 9783030320461
SISAP
SISAP
The local intrinsic dimensionality (LID) model enables assessment of the complexity of the local neighbourhood around a specific query object of interest. In this paper, we study variations in the LID of a query, with respect to different subspaces a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f95a379c8b28e15e827442e590c409cc
https://doi.org/10.1007/978-3-030-32047-8_22
https://doi.org/10.1007/978-3-030-32047-8_22
Publikováno v:
Data & Knowledge Engineering. 128:101833
Personalised analytics is a powerful technology that can be used to improve the career, lifestyle, and health of individuals by providing them with an in-depth analysis of their characteristics as compared to other people. Existing research has often
Autor:
Chowdhury Farhan Ahmed, Sayma Akther, Seokhee Jeon, Byeong-Soo Jeong, Md. Samiullah, Tahrima Hashem
Publikováno v:
Expert Systems with Applications. 41:2914-2938
Multilevel knowledge in transactional databases plays a significant role in our real-life market basket analysis. Many researchers have mined the hierarchical association rules and thus proposed various approaches. However, some of the existing appro
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319469218
ADC
ADC
In this paper, we introduce a novel type of trip planning queries, a subgroup trip planning (SGTP) query that allows a group to identify the subgroup and the points of interests (POIs) from each required type (e.g., restaurant, shopping center, movie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::470a4fba868b864de3a15b76076f5754
https://doi.org/10.1007/978-3-319-46922-5_9
https://doi.org/10.1007/978-3-319-46922-5_9
Publikováno v:
Advances in Spatial and Temporal Databases ISBN: 9783642402340
SSTD
SSTD
Location-based social networks grow at a remarkable pace. Current location-aware mobile devices enable us to access these networks from anywhere and to connect to friends via social networks in a seamless manner. These networks allow people to intera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c48c459db81e0e9f469ebc4f42e2b58
https://doi.org/10.1007/978-3-642-40235-7_15
https://doi.org/10.1007/978-3-642-40235-7_15
Autor:
Ryan, Shannon, Sushma, Neeraj Mohan, A. V., Arun Kumar, Berk, Julian, Hashem, Tahrima, Rana, Santu, Venkatesh, Svetha
Publikováno v:
Defence Technology; Jan2024, Vol. 31, p14-26, 13p
Publikováno v:
Databases Theory & Applications (9783319469218); 2016, pI-XXXVI, 36p
Autor:
Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller, Björn Þór Jónsson, Rasmus Pagh
This book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pande