Data Mining System, Functionalities and Applications: A Radical Review Dr. Poonam Chaudhary System Programmer, Kurukshetra University, Kurukshetra Abstract: Data Mining is the process of locating potentially practical, interesting and previously unknown patterns from a big volume of data. It plays an important role in result orientation. Data mining can be used in each and every aspect of life. The same is similarly significant in other areas including sales/ marketing, revenue services, sports, health care and insurance etc. The said paper implies general idea of data mining system, functionalities and its applications. Keywords: Applications, Data Mining Architecture, Data mining Challenges and Functionalities. I. INTRODUCTION Data mining involves the use of sophisticated data analysis tools to discover previously unknown valid patterns and relationships in large data set [1]. Data mining tools predict future trends and behaviors, helps organizations to take proactive knowledge-driven decision [2]. The questions that were traditionally tedious to settle can be settled by data mining tools. Data mining is also known as knowledge discovery in Database (KDD) and is the nontrivial extraction of implicit previously unknown and potentially useful information from data in databases. Though, databases (or KDD) are frequently treated data mining and knowledge discovery as synonyms, data mining is actually part of knowledge discovery process [3,4,5] . The following figure (Figure 1) shows the steps of knowledge discovery process in data mining. Fig 1:Data Mining is the core of Knowledge Discovery Process[4] II. DATA MINING ARCHITECTURE Data Mining’s architecture is formed of many elements namely Data Mining Engineer / Pattern evaluation / Data Warehouse server/User Interface and Knowledge Base. The said data mining system of Architecture is presented below in figure (Fig 2) 2.1 Knowledge Base: Centralized storage of Knowledge Base are used to collect the information and to evaluate the pattern. 2.2 Data Mining Engine: An essential element of data mining system and consists of functional elements that perform various tasks namely clustering, classification, prediction, association and correlation analysis, characterization. International Journal of Innovations in Engineering and Technology (IJIET) Volume 5 Issue 2 April 2015 449 ISSN: 2319 – 1058