Description
This edited book consists of 10 chapters focusing on Intelligent Data Analysis (IDA) as one of issues in the field of artificial intelligence and information. IDA consists of three stages namely data preparation, rule finding or data mining, and result validation and explanation. It reveals implicit, previously unknown and potentially valuable information or knowledge from large amounts of data. As a kind of decision support process that is based on artificial intelligence, machine learning, pattern recognition, statistics, database and visualization technology, IDA is presented in this book to show how useful information is extracted, and how necessary knowledge and interesting models from a lot of online data is used in helping the decision makers making a decision. This book also presents how IDA is applied to extract useful knowledge and the process demands a combination of data extraction, data organization, data analysis, data transformation of unstructured to structured type, and data classification. This book is a useful reference for readers to see how IDA methods and tools, as well as its authenticity in obtaining results and in solving problems of various domain.
