rhon-2 algorithm (Enron Corporation)
90
Structured Review
Enron Corporation
rhon-2 algorithm
Rhon 2 Algorithm, supplied by Enron Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rhon++algorithm/neural+network+models/pm34881623-229-7-23
Average 90 stars, based on 1 article reviews
Rhon 2 Algorithm, supplied by Enron Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rhon++algorithm/neural+network+models/pm34881623-229-7-23
Average 90 stars, based on 1 article reviews
rhon-2 algorithm - by Bioz Stars,
2026-11
90/100 stars
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other:Article Title: Event detection in temporal social networks using a higher-order network model. Article Snippet: As for the Article Title: What Phishing E-mails Reveal: An Exploratory Analysis of Phishing Attempts Using Text Analyzes Article Snippet: Phishers appear particularly interested in accounting and tax, with accountants and auditing firms as frequent targets because of the proximity to organizational resources.. Since phishing is typically done using emails, we use text analysis to explore differences between phishing emails and other emails.. Analyzing and comparing a database of phishing messages to a database of the Enron emails, we find that the phishing data is statistically significantly different across a large number of univariate text variable categories. Article Title: Email Surveillance Using Non-negative Matrix Factorization Article Snippet: In this study, we apply a non-negative matrix factorization approach for the extraction and detection of concepts or topics from electronic mail messages.. For the publicly released Enron electronic mail collection, we encode sparse term-by-message matrices and use a low rank non-negative matrix factorization algorithm to preserve natural data non-negativity and avoid subtractive basis vector and encoding interactions present in techniques such as principal component analysis.. Results in topic detection and message clustering are discussed in the context of published Enron business practices and activities, and benchmarks addressing the computational complexity of our approach are provided. Article Title: Event detection in temporal social networks using a higher-order network model. Article Snippet: Many simulations have been used to process the Enron email network and the Article Title: Event detection in temporal social networks using a higher-order network model. Article Snippet: As is shown in Article Title: Event detection in temporal social networks using a higher-order network model. Article Snippet: To summarize, the |