✅ Poštovné ZADARMO nad 39€ ✅ Knižná akcia každý mesiac ✅ Bezpečný nákup Academic Press: The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book for scientists, engineers and researchers that brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret the data once mined.
-One complete resource containing everything needed to successfuly conduct data mining analysis
-historical perspective and background providing insight as to why/how data mining grew out of statistics, the scientific method and modern machine learning/artificial intelligence
-Brief discreptions of the numerous new algorithms that make up the AI/Machine Learning part of the data mining arsenal, so the user new to data mining can rapidly absorb the ideas behind each method
-Extensive case studies, most in a tutorial format, allowing the reader to 'click through' the example, using a software program, thus learning to conduct data mining analyses in the most rapid manner of learning possible
Philosophical perspective and insight into what to expect in the future
Numerous examples, tutorials, powerpoints and datasets available via the companion website
Glossary of data mining terms provided in the appendix
Four page color insert
About the Author
Dr. Nisbet was trained initially in ecosystems analysis. He has over 30 years of experience in complex systems analysis and modeling as a researcher (University of California, Santa Barbara). He entered business in 1994 to lead the team that developed the first data mining models of customer response for AT&T and NCR Corporation. While at NCR Corporation and Torrent Systems, he pioneered the design and development of configurable data mining applications for retail sales forecasting and Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications and Insurance. In addition to data mining, he has expertise in data warehousing technology for Extract, Transform, and Load (ETL) operations; business intelligence reporting; and data quality analyses. He is lead author of the Handbook of Statistical Analysis & Data Mining Applications (Academic Press, 2009). Currently, he functions as a data scientist and independent data mining consultant. Dr. John Elder heads the United States' leading data mining consulting team, with offices in Charlottesville, Virginia; Washington, D.C.; Baltimore, Maryland; and Manhasset, New York (www.datamininglab.com) Founded in 1995, Elder Research, Inc. focuses on investment, commercial, and security applications of advanced analytics, including text mining, image recognition, process optimization, cross-selling, biometrics, drug efficacy, credit scoring, market sector timing, and fraud detection. John obtained a B.S. and an M.E.E. in electrical engineering from Rice University and a Ph.D. in systems engineering from the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 16 years at ERI, he spent five years in aerospace defense consulting, four years heading research at an investment management firm, and two years in Rice's Computational & Applied Mathematics Department. Dr. Gary Miner received a B.S. from Hamline University, St. Paul, Minnesota, with Biology, Chemistry, and Education majors; an M.S. in Zoology and Population Genetics from the University of Wyoming; and a Ph.D. in biochemical genetics from the University of Kansas as the recipient of a NASA predoctoral fellowship. During the doctoral study years, he also studied mammalian genetics at the Jackson Laboratory, Bar Harbor, Maine, under a College Training Program on an NIH award; another College Training Program at the Bermuda Biological Station, St. George's West, Bermuda, in a Marine Developmental Embryology course, on an NSF award; and a third College Training Program held at the University of California, San Diego, at the Molecular Techniques in Developmental Biology Institute, again on an NSF award. Following that he studied as a postdoctoral student at the University of Minnesota in behavioral genetics, where, along with research in schizophrenia and Alzheimer's disease, he learned what was involved in writing books from assisting in editing two book manuscripts of his mentor Irving Gottesman, Ph.D.
Recenzie a kritiky
Rok vydania:
2009ISBN:
9780123747655Rozmer:
198×242 mmVäzba:
pevnáJazyk: angličtina
