Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Sorour, E"'
Autor:
Amiri, Sorour E., Adhikari, Bijaya, Wenskovitch, John, Rodriguez, Alexander, Dowling, Michelle, North, Chris, Prakash, B. Aditya
Generating useful network summaries is a challenging and important problem with several applications like sensemaking, visualization, and compression. However, most of the current work in this space do not take human feedback into account while gener
Externí odkaz:
http://arxiv.org/abs/2012.11821
Publikováno v:
ACM SIGKDD Explorations Newsletter. 21:91-100
How does the tone of reporting during a disease outbreak change in relation to the number of cases, categories of victims, and accumulating deaths? How do newspapers and medical journals contribute to the narrative of a historical pandemic? Can data
Publikováno v:
Data Mining and Knowledge Discovery. 32:1251-1274
Given a large attributed social network, can we find a compact, diffusion-equivalent representation while keeping the attribute properties? Diffusion networks with user attributes such as friendship, email communication, and people contact networks a
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 30:729-742
Modern networks are very large in size and also evolve with time. As their sizes grow, the complexity of performing network analysis grows as well. Getting a smaller representation of a temporal network with similar properties will help in various da
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 30:407-420
Given a sequence of snapshots of flu propagating over a population network, can we find a segmentation when the patterns of the disease spread change, possibly due to interventions? In this paper, we study the problem of segmenting graph sequences wi
Publikováno v:
ICDM
Given a network, can we visualize it for any given task, highlighting the important characteristics? Networks are widespread, and hence summarizing and visualizing them is of primary interest for many applications such as viral marketing, extracting
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
Segmenting temporal data sequences is an important problem which helps in understanding data dynamics in multiple applications such as epidemic surveillance, motion capture sequences, etc. In this paper, we give DASSA, the first self-guided and effic
Publikováno v:
Ubiquitous Computing and Ambient Intelligence ISBN: 9783319675848
UCAmI
UCAmI
The number of cases reported with Autism Spectrum disorder (ASD), as a developmental disorder, has increased sharply in recent decades. Early diagnosis of ASD in children is essential for proper treatment and intervention. The difficulties in early d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb11e564812a4ed7d62ee8a98caf6e19
https://doi.org/10.1007/978-3-319-67585-5_79
https://doi.org/10.1007/978-3-319-67585-5_79
Publikováno v:
ICDM Workshops
Detection of the changes in pattern of disease spread over a population network, Meme-tracking and opinion spread on the Twitter network and product-rating-cascade over a social network are a few among the many embodiments of graph sequence segmentat
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.