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.

About the Author

J�rgen 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 Saarbr�cken, 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 L�mmel

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

"About this title" may belong to another edition of this title.

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