Ulteriori informazioni
Info autore
Jürgen Cleve
Abitur (German university entrance qualification), studied mathematics, doctorate in 1985
1985–1991, University of Halle, computer centre, artificial intelligence research group
1991–1994, University of Saarbrücken, AI working group (Prof. Siekmann)
Since 1994 Professor of Computer Science Fundamentals and Artificial Intelligence at Wismar University of Applied Sciences
1994-1996 SG Manager WI
1996-2000 Dean of the Faculty of Economics at Wismar University of Applied Sciences
2000-2009 Senator at Wismar University of Applied Sciences
2004-2009 Chair of the Academic Senate
1997-2005 Member of the Multimedia Advisory Board of the State Government of Mecklenburg-Western Pomerania
Member of a number of academic self-governing bodies at Wismar University of Applied Sciences
2012-2020 Head of the E-Learning Centre at Wismar University of Applied Sciences
Member of the Didactics Team at Wismar University of Applied Sciences
Chairperson of WIWITA (Wismar Business Informatics Days)
Member of the Frege Centre at Wismar University of Applied Sciences
Member of the Programme Committee of ECEL (European Conference on E-Learning)
Areas of expertise: Computer Science, Artificial Intelligence, Data Mining, Programming
Uwe Lämmel
Born in 1956
1976-1981 Studied mathematics at the University of Rostock, graduating with a degree in mathematics
1981-1984 Computer centre
1985 Doctorate in engineering
1985-1995 Research assistant at the Department of Computer Science, University of Rostock
Since 1996 Wismar University of Applied Sciences, Professor of Fundamentals of Computer Science/Artificial Intelligence
Areas of expertise: Computer science, artificial intelligence, data mining, programming
Riassunto
Data mining provides methods and algorithms for discovering previously unknown correlations in large data sets. The book covers the material of a one-semester lecture at universities or technical colleges and is designed as a classic textbook. The translatio of this German best-selling book includes the latest developments in the fields of AI, big data, data science and machine learning.
