CRISP-DM: Towards a standard process model for data mining R Wirth, J Hipp Proceedings of the 4th international conference on the practical …, 2000 | 2389 | 2000 |
Algorithms for association rule mining—a general survey and comparison J Hipp, U Güntzer, G Nakhaeizadeh ACM sigkdd explorations newsletter 2 (1), 58-64, 2000 | 1507 | 2000 |
Making bertha drive—an autonomous journey on a historic route J Ziegler, P Bender, M Schreiber, H Lategahn, T Strauss, C Stiller, T Dang, ... IEEE Intelligent transportation systems magazine 6 (2), 8-20, 2014 | 1083 | 2014 |
Data Quality Mining-Making a Virtue of Necessity. J Hipp, U Güntzer, U Grimmer DMKD, 2001 | 183 | 2001 |
Video based localization for bertha J Ziegler, H Lategahn, M Schreiber, CG Keller, C Knöppel, J Hipp, ... 2014 IEEE intelligent vehicles symposium proceedings, 1231-1238, 2014 | 137 | 2014 |
A new algorithm for faster mining of generalized association rules J Hipp, A Myka, R Wirth, U Güntzer Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998 | 136 | 1998 |
Is pushing constraints deeply into the mining algorithms really what we want? an alternative approach for association rule mining J Hipp, U Güntzer ACM SIGKDD Explorations Newsletter 4 (1), 50-55, 2002 | 71 | 2002 |
Mining association rules: Deriving a superior algorithm by analyzing today’s approaches J Hipp, U Güntzer, G Nakhaeizadeh European Conference on Principles of Data Mining and Knowledge Discovery …, 2000 | 63 | 2000 |
Deriving HD maps for highly automated driving from vehicular probe data K Massow, B Kwella, N Pfeifer, F Häusler, J Pontow, I Radusch, J Hipp, ... 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 56 | 2016 |
When distribution is part of the semantics: A new problem class for distributed knowledge discovery R Wirth, M Borth, J Hipp Proceedings of the PKDD 2001 workshop on ubiquitous data mining for mobile …, 2001 | 49 | 2001 |
Data mining of association rules and the process of knowledge discovery in databases J Hipp, U Güntzer, G Nakhaeizadeh Advances in data mining: applications in e-commerce, medicine, and knowledge …, 2002 | 48 | 2002 |
Teaching vehicles to anticipate: A systematic study on probabilistic behavior prediction using large data sets F Wirthmüller, J Schlechtriemen, J Hipp, M Reichert IEEE Transactions on Intelligent Transportation Systems 22 (11), 7129-7144, 2020 | 37 | 2020 |
Integrating Association Rule Mining Algorithms with Relational Database Systems. J Hipp, U Güntzer, U Grimmer ICEIS (1), 130-137, 2001 | 33 | 2001 |
Predicting the time until a vehicle changes the lane using LSTM-based recurrent neural networks F Wirthmüller, M Klimke, J Schlechtriemen, J Hipp, M Reichert IEEE Robotics and Automation Letters 6 (2), 2357-2364, 2021 | 30 | 2021 |
Analysing Warranty Claims of Automobiles J Hipp, G Lindner International Computer Science Conference, 1999 | 27* | 1999 |
Efficient rule retrieval and postponed restrict operations for association rule mining J Hipp, C Mangold, U Güntzer, G Nakhaeizadeh Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference …, 2002 | 22 | 2002 |
Rule-Based Measurement Of Data Quality In Nominal Data. J Hipp, M Müller, J Hohendorff, F Naumann ICIQ, 364-378, 2007 | 18 | 2007 |
Towards incorporating contextual knowledge into the prediction of driving behavior F Wirthmüller, J Schlechtriemen, J Hipp, M Reichert 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 17 | 2020 |
Mining frequent temporal patterns in interval sequences S Kempe, J Hipp, C Lanquillon, R Kruse International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2008 | 14 | 2008 |
Data mining: The next generation R Ramakrishnan, R Agrawal, JC Freytag, T Bollinger, CW Clifton, ... Dagstuhl Seminar Proceedings, 2005 | 12* | 2005 |