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Article Contents

ABSTRACT

1.INTRODUCTION

1.1.Why Data Mining?

2.OVERVIEW OF DATA MINING AND MACHINE LEARNING METHODS

2.1.Data Collection

2.2.Preprocessing of Data

2.3.Attribute Selection

2.4.Selection and Use of Machine Learning Algorithms

2.5.Improving Results

2.6.Application of Algorithms and Some Limitations

3.USES IN ASTRONOMY

3.1.Object classification

3.2.Photometric redshifts

3.3.Other Astrophysical Applications

4.THE FUTURE

4.1.Probability Density Functions

4.2.Real-Time Processing and the Time Domain

4.3.Petascale Computing

4.4.Parallel and Distributed Data Mining

4.5.The Virtual Observatory

4.6.Visualization

4.7.Novel Supercomputing Hardware

5.CONCLUSIONS

REFERENCES