شماره ركورد كنفرانس :
5264
عنوان مقاله :
Advanced Data Mining Techniques for Earth Science Research
پديدآورندگان :
Agah Azadeh agah_eng@eng.usb.ac.ir Assistant Professor, Department of Mining Engineering, University of Sistan and Baluchestan , Sabbaghi Milad Miladsabbaghi313@gmail.com Undergraduate students, Department of Mining Engineering, University of Sistan and Baluchestan
كليدواژه :
Data Mining , Earth Science , Machine Learning , Deep learning
عنوان كنفرانس :
چهارمين كنفرانس ملي دادهكاوي در علوم زمين
چكيده فارسي :
Earth science research plays a crucial role in understanding the complex systems that govern our planet. From studying climate patterns to analyzing geological processes, scientists are constantly seeking innovative ways to unlock the secrets of Earth. In recent years, advanced data mining techniques have emerged as powerful tools in this field, allowing researchers to extract valuable insights from vast amounts of data. In research, we will explore the fascinating world of data mining in earth science research. We will delve into the various techniques used, such as machine learning algorithms and spatial analysis, and discuss how they are revolutionizing our understanding of Earth s dynamic processes. advanced data mining techniques have revolutionized earth science research, unlocking the secrets of our planet in ways never before possible. The ability to analyze vast amounts of data from various sources has allowed scientists to gain a deeper understanding of Earth s complex systems, from climate patterns to geological processes. In conclusion, the application of advanced data mining techniques in earth science research represents a game-changer, propelling our understanding of Earth s dynamics and providing a solid foundation for future scientific endeavors.