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 school shooter or a lone wolf terrorist.
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 school shooter or a lone wolf terrorist.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Yair Neuman is a full professor at Ben-Gurion University of the Negev. He is the author of numerous papers and eight books published by leading academic publishers from Cambridge University Press to Brill and Springer Nature. He is consistently ranked within the top 3% of researchers on Academia.edu (https://bgu.academia.edu/YairNeuman). Prof. Neuman's computational and data analytics projects have been supported by government agencies (e.g. IARPA - the Intelligence Advanced Research Projects Activity) and world-leading banks, and he has served as a scientific advisor to various clients in the private sector. His novel data analysis methodologies have been published in leading journals and cover human, industrial, medical, and financial data.
Inhaltsangabe
Acknowledgments. Preface. 1 The Needle Challenge: From Shipping Vessels to the Insider Threat. 2 What Is a Needle in a Haystack?: A Lesson from Miss Lucy and Vladimir Putin. 3 How Are Rare Events Formed?: Modeling through the Galton Machine. 4 Crying Wolf: False Alarms and Their Price. 5 Why Is It Difficult to Find the Needle?: On Rare and Common Paths. 6 Why Do We Fail to Find the Needle?: The Binary Fallacy and the Bayesian Approach. 7 How to Reduce the Size of the Haystack: On Impostors, Cats, and False Positives. 8 Needles in the Wild: Some Lessons from Nature. 9 Lupus and the Needle: A Contextual-Dynamic Approach to the Needle Challenge. 10 How to Deal with Tiny Datasets: The Power of AI. 11 Concluding Discussion: Isolated Lights in the Abyss of Ignorance. Index.
Acknowledgments. Preface. 1 The Needle Challenge: From Shipping Vessels to the Insider Threat. 2 What Is a Needle in a Haystack?: A Lesson from Miss Lucy and Vladimir Putin. 3 How Are Rare Events Formed?: Modeling through the Galton Machine. 4 Crying Wolf: False Alarms and Their Price. 5 Why Is It Difficult to Find the Needle?: On Rare and Common Paths. 6 Why Do We Fail to Find the Needle?: The Binary Fallacy and the Bayesian Approach. 7 How to Reduce the Size of the Haystack: On Impostors, Cats, and False Positives. 8 Needles in the Wild: Some Lessons from Nature. 9 Lupus and the Needle: A Contextual-Dynamic Approach to the Needle Challenge. 10 How to Deal with Tiny Datasets: The Power of AI. 11 Concluding Discussion: Isolated Lights in the Abyss of Ignorance. Index.
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