Tag Archives: machine learning

Cybersecurity Data Science (CSDS): How Not to Drown in Your Cyber Data Lake!

December 3, 2018

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Future Shock: Growing Vulnerabilities and Liabilities Cybersecurity data science (CSDS) brings hope to organizations challenged by evolving cyber threats. A rapidly developing field, CSDS utilizes advanced analytics to address security gaps in an increasingly data-driven, interconnected world. The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity Report, over half of cyber-attacks resulted in […]

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Resolving Confusions: AI, Machine Learning, and Deep Learning

May 16, 2018

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SAS recently produced a helpful video to cut through the misunderstandings that have developed in the market concerning the distinctions between AI, machine learning, and deep learning (many marketers using the terms interchangeably) In summary: > AI is a term for a solution which often utilizes machine learning as a component method to emulate human […]

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Cybersecurity Data Science: Adopting a Medical Paradigm

July 24, 2017

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An Uncomfortable Status Quo This month, barely eight weeks from the WannaCry ransomware outbreak, yet another destructive worm attack has disabled systems and compromised data globally: PetrWrap (AKA NotPetya, Nyetya, or GoldenEye). Beleaguered cybersecurity professionals have responded yet again with a flurry of patches and guidance to plug the holes. Based on trending events, there is […]

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Data Science – Tools and Methods: Practitioner Perspectives

April 20, 2017

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Data Science – Tools and Methods: Practitioner Perspectives Erasmus University Rotterdam lecture to Masters of Business and Information Management (BIM) students for Big Data and Business Analytics class. Wednesday, April 12th, 2017.  

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Cognitive analytics: practitioner perspectives (RSM lecture)

April 29, 2015

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Data Science

With a number of recent Hollywood films representing intelligent machines as either hero or villain, the subject of Artificial Intelligence (AI) has attracted the imagination of the media and popular culture. On the practical engineering side, over the past decade humanity’s age-old dream of developing intelligent machines has experienced rapid development.  The prospect of expert […]

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Fraud analytics: collected links

October 1, 2014

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Recent collected posts and links to fraud detection and mitigation items: Network analytics for fraud detection & mitigation (video demostration) Part 1 video demo Part 2 video demo Semantics analytics lecture (Erasmus RSM) Demonstration of semantic analytics (video demonstration) Blog post Excuse me, do you speak fraud? Blog post Network analytics for fraud detection Blog post Network analytics: more than […]

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Tell me… how ugly is your bad data?

August 14, 2014

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Ugly data

The adage ‘garbage-in-garbage-out’ is an analytics mantra so ingrained it has its own shorthand: GIGO. Yet, in the mad, blind rush toward all things ‘big data’, there is the danger of sidelining the crucial-but-dreary topic of data quality, to which GIGO refers. While data quality is not as ‘sexy’ as big data, anyone who wants […]

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Network analytics: more than pretty pictures

August 14, 2014

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Network analysis is a rapidly growing analytics domain propelled by the explosion of interest in social networking. The methods rest upon much older foundations in the realms of statistics and social science. Euler’s graph theory was proposed in the early 18th century and Moreno established the foundations for social network analysis (SNA) in the 1930’s. Want […]

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The Cutting Edge: Network Analytics for Financial Fraud Detection and Mitigation

June 27, 2014

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The application of network analysis to the growing challenge of fraud and financial crime is a fast emerging advanced data analytics frontier. As any good fraud investigation knows, fraud and financial crime are as much deep social phenomenon as aspects of financial transactions gone awry. Thus the application of social network analysis is able to […]

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Business analytics model risk (part 0 of 5): framing model risk – the complexity genie and the challenge of deciding on decision models

June 13, 2013

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Model Risk

Business analytics model risk (part 0 of 5): framing model risk – the complexity genie and the challenge of deciding on decision models Introduction to a series of five articles on model risk Here we introduce a series of five articles seeking to frame, define, and categorize business analytics model risk.  The intention is to […]

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