Paper Title
A SURVEY ON DATA MINING WITH BIG DATA
Abstract
Big data concern huge quantity, complex, rising data sets with different, autonomous sources. With the short development of networking, data storage, and collectively the data assortment capability, large data are presently quickly increasing altogether science and engineering realms, aboard physical, biological and medicines sciences. This paper presents a HACE theorem that characterizes the alternatives of the big data revolution, and proposes an enormous method model, from the data mining perspective. This data driven representation involves demand driven aggregation of data sources, mining and analysis, user concern planning, and security and isolation issues. We have an inclination to research the strong problems within the data-driven model and in addition within the big data revolution.
Index Terms- Big data, Data Mining, HACE theorem, Challenging issues, Datasets, Data Mining Algorithms.