Category: Detection Theory
Apama: Fraud Detection and Heat Maps
A few days ago in Visualization Reloaded I touched upon the subject of heat maps. In that post the application context was monitoring a massively parallel online gaming platform using a combination of event processing technologies by StreamBase and SL Today, I was reminded of another heat map created by Progress Apama during a leisurely morning viewing of a Fox Business [...]
Read moreMotor Vehicle Crashes and Complex Event Processing
The Research and Innovative Technology Administration (RITA) coordinates Department of Transportation’s (DOT) research programs. RITA’s mission is to advance the deployment of multi-disciplinary technologies to improve transportation system in the U.S. Shaw-Pin Miaou, Joon Jin Song and Bani K. Mallick wrote a detailed paper, Roadway Traffic Crash Mapping: A Space-Time Modeling Approach, in RITA’s Journal of Transportation [...]
Read moreOpenCourseWare: Get Smart for Complex Event Processing!
Ready to move beyond the basics of event processing? Perhaps you would like to beef up your Java skills? The Basics of Signal Processing? Or maybe you are interested in Advanced Complexity Theory? Artificial Intelligence? Computer Language Engineering? Queueing Theory? Well then, put your feet up, relax and click on over to the Department of Electrical [...]
Read moreAdapters and Analytics: COTS? NOT!
Marc Adler shows why his musings are rapidly becoming one of my “must read” blogs in his post, CEP Vendors and the Ecosystem. We have been making similar points in the event processing blogosphere, namely the important of adapters and analytics. Today, event processing vendors are surprisingly weak in both areas. For one thing, there was way much emphasis on rules-based [...]
Read moreComplex Event Processing with Esphion Neural Agents
Detection-oriented technologies generally fall into two broad areas, signature-based detection and anomaly-based detection. Complex event processing (CEP) is also a detection-oriented technology, so we can readily understand that CEP applications must also fall within the same two general areas. Signature-based detection is sometime referred to as static detection because the technology relies on pre-defined rules, filters, and signatures [...]
Read moreEnd Users Should Define the CEP Market.
My friend Opher mistakenly thought I was thinking of him when I related the story of the fish, as he replied, CEP and the Story of the Captured Traveller. I must not have related the fish story very well, because to understood the story of the fish, is to know that we are all like the fish, in certain [...]
Read moreCEP and the Story of the Fish
Every month or two someone in the CEP community makes a statement like “Hey, there is more to complex event processing than processing simple streams!” or “SQL and rules are not the final chapter in the saga of event processing!” Each time the issue surfaces, there are a few voices in the CEP community who [...]
Read moreSimple Event Processing != Complex Event Processing
One of the brillant minds in the CEP community, Claudio Paniagua Macia, recently posted, Event Stream Processing != Complex Event Processing. In his post, Claudi draws a bold conclusion: (1) SQL-based approaches to ESP might have a hard time doing CEP. (2) No real CEP engine exists today in the marketplace, perhaps not even “off” [...]
Read moreCEP Center of Excellence for Cybersecurity at Software Park Thailand
In July 2007, at InformationSecurityAsia2007, I unveiled an idea to create a cybersecurity CEP Center of Excellence (COE) in Thailand. Under the collaborative guidance of Dr. Rom Hiranpruk, Deputy Director, Technology Management Center, National Science and Technology Development Agency (NSTDA), Dr. Prinya Hom-anek, President and Founder, ACIS Professional Center, and Dr. Komain Pipulyarojana, Chief National Security Section, National Electronics [...]
Read moreType I and Type II Errors – The Heart of Event Processing
Opher Etzion begins to discuss one of the topics I consider to be the heart of event processing in his post, On False Positives and False Negatives. Statistically speaking, false positives are called Type I errors (? errors) and false negatives are called Type II errors (? errors). If you are interested in “getting to [...]
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