Alfonso Limon, Ph.D.
Dr. Alfonso Limon attended San Diego State University and earned a Bachelor’s degree in Mechanical Engineering in 1999. While an undergraduate, Alfonso conducted research in thermodynamics with Peter Salamon and materials science with Larry Thompson. In 2002, he earned a Master’s of Science in Computational Science for his work on modeling biological fluid mechanics in arterioles. While working on his thesis, Alfonso was awarded the GAANN fellowship and moved to Los Angeles to study at Claremont Graduate University. While at CGU, he earned a second Master’s degree in Applied Mathematics and has subsequently earned his doctoral degree in Computational Science.
Statistical Data Mining Techniques presents a unique and immediately useful blend of modern mathematics and statistical approaches to extracting valuable data. Useful for large-scale businesses, this book provides the reader with tools and techniques for deducing valuable trends in their data.