Bøger af Mana Dixon

Data analysis refers to the process of cleansing, modeling, inspecting and transforming data in order to identify useful information, derive informed conclusions and assist in decision-making. It has several dimensions and approaches, and is applied in a variety of sectors like social science, business and science. One of the fundamental concerns in information and artificial intelligence is intelligent data analysis (IDA). It reveals previously hidden facts and extracts potentially valuable information or facts from huge amounts of data. It also aids in decision-making. IDA is primarily based on artificial intelligence, records and visualization technology, machine learning and pattern recognition. It also assists in obtaining relevant information, necessary data and models from a large amount of data available online for making the best decisions. There are three steps involved in IDA including data preparation, data mining, and data validation and explanation of data. This book unravels the recent studies on intelligent data analysis. It will help the readers in keeping pace with the rapid changes in this area of study.

Intelligent data analysis (IDA) is a method for discovering useful and intriguing information from data to aid in decision making. An IDA task comprises prediction, knowledge discovery, process or system modeling, and constructing knowledge based systems. There are numerous applications of IDA methods in various fields, including finance, marketing, agriculture, and medicine. The demand and availability of more advanced IDA methods has grown in response to the rapidly increasing volume of real-time data that is generated due to an increase in the usage of electronic commerce, web, and multimedia technologies. There are a number of challenges in the application of IDA methods in real-world, such as lack of tools suitable for large data, and lack of user friendly and effective post processing tools. The other challenges include lack of a truly integrated data analysis environment and lack of efficient and automatic preprocessing tools. This book elucidates the challenges and solutions with respect to intelligent data analysis. The topics covered herein offer the readers new insights on this subject.