GSFRS(Giant Signal File Random Sampler)

  SOCKS: Statistical Outlier Curation Kernel Software A Noise Reduction Software for Machine Learning Written by Gitika Gorthi, Chantilly High School Have you ever had your classmates' voices overpower your teacher’s, making it hard for you to listen to the important instructions being given? Or have you ever had a tough time understanding news on the radio because of the heavy static sounds? Noise in data sets is similar to the noisy disturbances we hear in our daily lives; it is additional information that serves no apparent purpose such as in the form of data corruption. Noise in data often causes the algorithms to miss out patterns or specific trends in the data, similarly to how we can miss important instructions or news due to the background disturbances. The study “Dealing With Noise In Defect Prediction” has determined that false positive and false negative noises alone can lead to a 20-35% decrease in prediction performance (Kim et al, 2011). In order to reduce noise fro

  Revolutionizing Database Technology: GSFRS Written by Gitika Gorthi, Chantilly High School Has there ever been a day where you were free from the usage of all electronic devices? Won’t the day feel dry without some form of digital juice? A lot of the data dealt with these days are all classified as big data, collections of large and diverse data that is more sizable than traditional databases. Have you ever had a moment when a large software took a long time to load or open a particular file, and the computer seemed stuck on repeat at that one page? If so, you are not the only one. Whether it be students, researchers, or even technologies such as rovers, fast data processing, and analytics is always a desirable outcome. What if we told you that there is a novel, portable, and highly efficient rapid data access data tool that can allow near-real-time access to any part of a large-sized data file? You might be thinking, is that possible? The answer is yes, it is possible. A tool name