Data Mining Techniques in Tracing the Trends of Business

Data mining is a technique of discovering interesting patterns from large amount of data, where the data can be stored in database, data warehouse, or other information repositories; Because it is an emerging discipline, many challenges remain in data mining. Due to large volume of data acquired on an everyday basis, it becomes imperative to find an algorithm that determines the technique to select and type of mining to do. Data sets are often inaccurate, incomplete, and/or have redundant or insufficient information. It would be desirable to have mining tools that can switch to multiple techniques and support multiple outcomes. The book contains an excellent detail of data mining techniques and applications, business trends, forecast analysis, instance selection and how to improve the trading rules. The book focuses on the application of data mining techniques such Error Correction Network (ECN), Artificial Neural Network (ANN) and Genetic Algorithm (GA). This book mainly focuses on applications of data mining techniques in tracing the trends of business patterns in telecommunication, stock market returns, instances selection and trading rules.