Data Mining Fundamentals 2. Painos

Data mining is the computational process of discovering patterns in large data sets with the objective of extracting information and transforming it into an understandable structure for further use. Data mining involves data and database management, pre-processing techniques, model and inference considerations alongwith post-processing of uncovered structures, data visualization, and online updation. Data Mining and Knowledge Discovery in Databases are terms that are generally used interchangeably. The other terms referring to data mining are data or information harvesting, archeology, functional dependency analysis, knowledge extraction and data pattern analysis. Data Mining is used to identify potential knowledge from seemingly plain data sets. This book provides a solid foundation over which the pillars of advanced mining techniques can be built on. The book commences with an introduction to the basic concepts and terminologies related to data mining. The detailed architecture of data mine, the challenges in handling erroneous data, data mining process as well as the data mining tools are also presented subsequently.