Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

part |2 pages

PART II: Astronomical Applications

chapter |172 pages

SECTION 1: Source Identification

chapter |142 pages

SECTION 2: Classification

chapter |40 pages

SECTION 4: The Largest Data Sets

part |2 pages

PART III: Machine Learning Methods