Data Mining and Data Warehousing Paper Presentation And PPT

Data mining means the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. It refers to finding of relevant and useful information from database. The key idea is to find effective ways to combine the computer’s power to process the data with the human’s eye ability to detect the pattern.The evolution of data mining is to support the three technologies. They are massive data collection, high performance computing, and data mining algorithms. Data mining is interested in three major streams, namely statistics, computer science, business management. The advantages of data mining is it supports automatic exploration and also if we know the vaguely patterns we can easily retrieve the information.. Data mining is used in real world applications like business, e-commerce, and scientific, engineering and remote sensing satellites. The goals of data mining are prediction and description. Data warehouse is have become instrumental in strategic decision-making. Data warehouse in its simplest perception is no more than a collection of the key pieces of information is used to manage and direct business for the most profitable out come. It is a subject oriented, integrated, time variant, non-volatile collection of data in support of the management’s decision-making process. The delivery method for delivering the data warehouse should minimize the risk and should produce production quality deliverables.