Workshop
Die wunderbaren und die schrecklichen Seiten von Predictive Analytics: Methoden für Predictive Modeling und gängige Data Mining Fehler
Die wunderbaren und die schrecklichen Seiten von Predictive Analytics: Methoden für Predictive Modeling und gängige Data Mining Fehler
Workshopleiter:
Datum: Donnerstag, 8. November 2012
Uhrzeit: 09:00 – 16:30 Uhr
Zielgruppe: Jeder der sich mit dem Thema Predictive Analytics und Predictive Modeling beschäftigt
Voraussetzung: Grundlagenkenntnisse zu Predictive Modeling.
Alle Teilnehmer erhalten eine elektronische Version des Workshops auf einem USB Stick.
Der Workshop findet auf englisch statt.
John Elder, CEO & Founder, Elder Research, Inc.
Dr. John Elder heads a data mining consulting team with offices in Charlottesville Virginia, San Francisco, Mountain View California, 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, forecasting, stock selection, image recognition, process optimisation, cross-selling, biometrics, drug efficacy, credit scoring, market timing, and fraud detection.
John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD in Systems Engineering from the University of Virginia, where he’s an adjunct professor teaching Optimisation or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace defence consulting, 4 heading research at an investment management firm, and 2 in Rice University’s Computational & Applied Mathematics department. Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and was co-chair of the 2009 Knowledge Discovery and Data Mining conference, in Paris.
John’s courses on analysis techniques — taught at dozens of universities, companies, and government labs — are noted for their clarity and effectiveness. Dr. Elder was honored to serve for 5 years on a panel appointed by the President to guide technology for National Security. His book with Bob Nisbet and Gary Miner, Handbook of Statistical Analysis & Data Mining Applications, won the PROSE award for Mathematics in 2009. His book with Giovanni Seni, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, was published in February 2011. John is a follower of Christ and the proud father of 5.
