Special Issue on Advances in Machine Learning and Data Mining

摘要

Machine learning and data mining are the growing fields of research in marketing, customer relationship management, trading, advertising, stock analysis and health care. Machine learning enables the computer to learn without any explicitly programming. On the other hand, data mining focuses on finding the interesting patterns in large datasets. Both machine learning and data mining use many of the same set of algorithms, methods and techniques. However, they differ each other in prediction. Machine learning is especially required to reproduce the known patterns and knowledge, whereas data mining is required to uncover early unknown patterns and knowledge. There are numerous applications in machine learning and data mining such as medical diagnosis, classification, prediction, extraction, image recognition, speech recognition, learning associations, regression, market basket analysis, customer relationship management, fraud and intrusion detection, bioinformatics and many more. The integration of machine learning and data mining will give a wide-scope to interdisciplinary research activities. The main focus of this special issue is to provide the recent developments in the field of machine learning, data mining and its applications, which are contributed by various researchers by developing algorithms, theories, simulations and improved techniques.