Jochen Hipp

Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse: Mining Frequent Temporal Patterns in Interval Sequences. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(5): 645-661 (2008)

Steffen Kempe, Jochen Hipp, Rudolf Kruse: FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns. GfKl 2007: 253-260

Jochen Hipp, Markus Müller, Johannes Hohendorff, Felix Naumann: Rule-Based Measurement Of Data Quality In Nominal Data. ICIQ 2007: 364-378

Steffen Kempe, Jochen Hipp: Mining Sequences of Temporal Intervals. PKDD 2006: 569-576

Joachim Kübart, Udo Grimmer, Jochen Hipp: Regelbasierte Ausreißersuche zur Datenqualitätsanalyse. Datenbank-Spektrum 14: 22-28 (2005)

Jochen Hipp: Wissensentdeckung in Datenbanken mit Assoziationsregeln: Verfahren zur effizienten Regelgenerierung und deren Integration in den Wissensentdeckungsprozeß. Eberhard Karls University of Tübingen 2004, isbn 3-89838-485-3, pp. 1-214

Tomas Hrycej, Jochen Hipp: Outlier Detection by Rareness Assumption. GI Jahrestagung (1) 2004: 244-248

Jochen Hipp, Ulrich Güntzer: Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining. SIGKDD Explorations 4(1): 50-55 (2002)

Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh: Data Mining of Association Rules and the Process of Knowledge Discovery in Databases. Industrial Conference on Data Mining 2002: 15-36

Jochen Hipp, Christoph Mangold, Ulrich Güntzer, Gholamreza Nakhaeizadeh: Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining. PAKDD 2002: 52-65

Jochen Hipp, Ulrich Güntzer, Udo Grimmer: Data Quality Mining - Making a Virute of Necessity. DMKD 2001

Jochen Hipp, Ulrich Güntzer, Udo Grimmer: Integrating Association Rule Mining Algorithms with Relational Database Systems. ICEIS (1) 2001: 130-137

Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh: Algorithms for Association Rule Mining - A General Survey and Comparison. SIGKDD Explorations 2(1): 58-64 (2000)

Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh: Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches. PKDD 2000: 159-168

Jochen Hipp, Guido Lindner: Analysing Warranty Claims of Automobiles; An Application Description Following the CRISP-DM Data Mining Process. ICSC 1999: 31-40

Jochen Hipp, Andreas Myka, Rüdiger Wirth, Ulrich Güntzer: A New Algorithm for Faster Mining of Generalized Association Rules. PKDD 1998: 74-82