Industry NewsFrontline Systems releases XLMiner.com platform for advanced analytics
Frontline Systems, developer of the Solver in desktop Microsoft Excel, recently released XLMiner.com, a SaaS (software as a service) platform for data mining, text mining, forecasting and predictive analytics using only a browser. XLMiner for the Web offers business analysts point-and-click tools to create predictive analytics models themselves, without being expert data scientists or programmers.Read More
CAP NewsMitchell-Guthrie, Levis to lead Analytics Certification Board
Polly Mitchell-Guthrie of SAS and Jack Levis of UPS will serve as chair and vice chair, respectively, of the 2016 Analytics Certification Board (ACB) following their election by INFORMS members and CAP designees.Read More
CAP NewsOne stop shop for university analytics programs
You’ve seen them bursting on the scene at universities across the United States and around the world. With the increasing popularity of analytics in the business world, courses and degreed programs in business analytics, data science and all their offshoots are popping up at engineering schools, business schools and computer science departments. INFORMS will soon launch “INFORMS Analytics Education One Stop Shop,” what will arguably be the most comprehensive website about university analytics programs.Read More
Statistical model unlocks barriers to fingerprint evidence
Potentially key fingerprint evidence is currently not being considered due to shortcomings in the way it is reported, according to a report published in the February issue of Significance, the magazine of the Royal Statistical Society and the American Statistical Association. Researchers involved in the study have devised a statistical model to enable the weight of fingerprint evidence to be quantified, paving the way for its full inclusion in the criminal identification process.
Fingerprints have been used for over a century as a way of identifying criminals. However, fingerprint evidence is not currently permitted to be reported in court unless examiners claim absolute certainty that a mark has been left by a particular suspect. This courtroom certainty is based purely on categorical personal opinion, formed through years of training and experience, but not on logic or scientific data. Less than certain fingerprint evidence is not reported at all, irrespective of the potential weight and relevance of this evidence in a case.
The paper highlights this subjectivity in current processes, calling for changes in the way such key evidence is allowed to be presented. According to Professor of Statistics Cedric Neumann, “It is unthinkable that such valuable evidence should not be reported, effectively hidden from courts on a regular basis. Such is the importance of this wealth of data, we have devised a reliable statistical model to enable the courts to evaluate fingerprint evidence within a framework similar to that which underpins DNA evidence.”
Neumann, from Pennsylvania State University, and his team devised and successfully tested a model for establishing the probability of a print belonging to a particular suspect. After mapping the finer points of detail on a “control print” and “crime scene print,” two hypotheses were then tested. The first test, to establish the probability that the crime scene print was made by the owner of the control print (the suspect), compared the control print with a range of other prints made by the suspect. The second test, to establish the probability that the crime scene print was made by someone other than the suspect, compared the crime scene print with a set of prints in a reference database. A likelihood ratio between the two probabilities was calculated; the higher the ratio indicating stronger evidence that the suspect was the source of the crime scene print.
“Current practice allows a state of certainty to be presented which is not justified scientifically, or supported by logical process or data,” says Neumann. “We believe that the examiner should not decide what evidence should or should not be presented. Our method allows all evidence to be supported by data, and reported according to a continuous scale.”