Data Mining for Business Intelligence

The book offers data mining as a crucial tool for managing company data and as an innovative technology for gaining a competitive edge. The readers will get the ability to discern data sources and modify them for data mining. They will also gain comprehensive knowledge of all data mining techniques, methodologies, and tools. The book's cover will enable you to systematically discover possibilities for extracting business value from data using analytical means. This book delves into the ideas of data mining and data warehousing, which are rapidly growing areas in database systems. It provides a comprehensive and detailed introduction to the topic of data mining. Data mining is an interdisciplinary field that incorporates various disciplines such as database technology, statistics, machine learning, neural networks, artificial intelligence, pattern recognition, knowledge-based systems, knowledge acquisition, information retrieval, high-performance computing, and data visualization. More specifically it explores the methodologies for extracting patterns and insights from extensive datasets, referred to as knowledge discovery through data, or KDD. The main emphasis is on evaluating the practicality, utility, efficiency, and expandability of data mining methods for large data sets. The objective is to introduce essential principles and methods for each subject, educating the reader with the necessary foundation for the practical implementation of data mining in real-world scenarios.