How to Find a Needle in a Haystack From the Insider Threat to Solo Perpetrators
18
August
2022English | 2022 | ISBN: 9781003289647 | 133 pages | True PDF | 5.35 MB
Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.
Examples include identifying the insider threat within an organization, the prediction of failure in industrial production, or pinpointing the unique signature of a solo perpetrator, such as a school shooter or a lone wolf terrorist. It is a challenge different from that of identifying a rare event (e.g., a tsunami) or detecting anomalies because the "needle" is not easily distinguished from the haystack. This challeg context is imbued with particular difficulties, from the lack of sufficient data to train a machine learning model through the identification of the relevant features and up to the painful price of false alarms, which might cause us to question the relevance of machine learning solutions even if they perform well according to common performance criteria. In this book, Prof. Neuman approaches the problem of finding the needle by specifically focusing on the human factor, from solo perpetrators to insider threats. Providing for the first a deep, critical, multidimensional, and methodological analysis of the challenge, the book offers data scientists and decision makers a deep scientific foundational approach combined with a pragmatic practical approach that may guide them in searching for a needle in a haystack.
DOWNLOAD
1dl.net
https://1dl.net/avl2nnm7p93q/EbsSNkqi_How_to_Find_a_Needle_in_a_Haystack..rar.html
rapidgator.net
https://rapidgator.net/file/c31fb365d660d6bcc500288d59b69f0e/EbsSNkqi_How_to_Find_a_Needle_in_a_Haystack..rar.html
Note:
Only Registed user can add comment, view hidden links and more, please register now
Only Registed user can add comment, view hidden links and more, please register now