Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Peshave, Akshay"'
Evolving cybersecurity threats are a persistent challenge for systemadministrators and security experts as new malwares are continu-ally released. Attackers may look for vulnerabilities in commercialproducts or execute sophisticated reconnaissance ca
Externí odkaz:
http://arxiv.org/abs/1903.12101
Autor:
Peshave, Akshay
Automated knowledge discovery is central to augmenting knowledge acquisition and elicitation by humans from vast amounts of content. Precise and concise representations, both structured and semi-structured, of knowledge contained in textual content h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79d4510834aaeba7bd2d47fd2a577941
As government agencies increasingly make public data available online, it provides opportunities to leverage such data for descriptive, predictive and prescriptive analytics. One domain where these technological capabilities are applicable is real-es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a37986aa4d50f6ae14a224ee24cc733e
Autor:
Peshave, Akshay
Workflows identified from user event logs and click-stream data are useful as knowledge bases for behavioral analysis and recommendation systems. In this study we identify abstractions or summaries of event logs modeled as user activity flow networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cb6e1c68ec2a5477d4f875c931c54eb
This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.•The 26 full papers presented together with 35 short papers were carefully re