Misclassification in Big Data Soft Set Environment
نویسندگان
چکیده
منابع مشابه
Codifying healthcare – big data and the issue of misclassification
The rise of electronic medical records has led to a proliferation of large observational studies that examine the perioperative period. In contrast to randomized controlled trials, these studies have the ability to provide quick, cheap and easily obtainable information on a variety of patients and are reflective of everyday clinical practice. However, it is important to note that the data used ...
متن کاملAnalytics in a Big Data Environment
Learn strategies to make sense of your data Explore technologies that are used to gather intelligence Take a look at the future of analytics Redguides for Business Leaders
متن کاملBig Data solutions in cloud environment
Current business faces new challenges that require modern and adjusted IT models. Authors of this paper try to identify and indicate selected challenges that are addressed by by cloud computing concept and Big Data solutions. Authors of this paper concentrate od Microsoft Azure cloud offering mainly in area of Big Data and they want to prove that development of Big Data solutions in cloud envir...
متن کاملRandom forest algorithm in big data environment
Random forest method is one of the most widely applied classification algorithms at present. From the actual big data scene and requirements, the application of random forest method in the big data environment to conduct in-depth study. Due to the big data needs to process a huge number of features at the same time, and the data pattern changes constantly over time, the accuracy of a random for...
متن کاملSet Visualization Challenges for Big Data
This talk will provide a brief overview of the state-of-the-art of set visualization, followed by an in-depth discussion of challenges and open questions when dealing with real-world set-typed data.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017914298