Data Mining

With the spread of data mining technology, interest in data mining is rapidly increasing. The company is currently using its data mining technology to find new models to better customer service, to make their database checking trends, relationships and results, to enhance their overall operation, to enhance their overall behavior It makes them possible. Data mining offers many benefits for business, government, society and individuals. However, as with many technologies, data mining has a negative impact as a violation of such privacy.

Understand the general concepts and basic methods and applications of data mining. And a thorough investigation of data mining subdomains: pattern discovery. Detailed data mining concept learning pattern discovery, method and use. We will also introduce some interesting applications based on the classification method and model you have found. In this course you can extend to discuss large scale transaction data, sequence mode and measurement mode of subgraph mode method, excavation and research of various modes Skills to participate in practice and pattern finding methods And the opportunity to learn content

Data mining focuses on large-scale data discovery mode processes, including machine learning, statistical and database system intersections. Data mining is understood for further use by focusing on extracting information from the data, the subfield of the subject of computer science is the whole, the overall objective (using a smart way) It is information that makes it easy structure. Data mining is "knowledge discovery in the database," KDD process and analysis step. In addition to the original analysis step, it requires database and data management, preprocessing of data, consideration of model and reasoning, interesting metrics, complexity considerations, discovery postprocessing structures, visualization and online updates

Definition: In a nutshell, data mining is defined as the process of extracting available data from a larger raw dataset. It means using one or more software to analyze the data pattern of large amounts of data. Data mining has applications in various fields such as science and research. As a data mining application, companies can learn more about their customers, develop more effective strategies related to various business functions, and utilize resources in a more optimized, insightful way. This allows companies to approach their goals and make better decisions. Data mining includes efficient data collection and warehousing as well as computer processing. Data mining uses complex mathematical algorithms to segment data and estimate the likelihood of future events. Data mining is also called Knowledge Discovery (KDD) in data.