Searching for authors named "Jochen Hipp" – sorted by Relevance.
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Analysing Warranty Claims of Automobiles - An Application Description Following the CRISP-DM Data Mining Process
- Mining Process Jochen Hipp 1 and Guido Lindner 2 1 Wilhelm Schickard Institute, University of T
- Cited by 8 (4 self) – Add To MetaCart
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Is Pushing Constraints Deeply into the Mining Algorithms really what we want? - An Alternative Approach for Association Rule Mining
- Approach for Association Rule Mining Jochen Hipp DaimlerChrysler AG, Research & Technology, Ulm, Germany
- Cited by 11 (0 self) – Add To MetaCart
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Algorithms for Association Rule Mining - A General Survey and Comparison
- Algorithms for Association Rule Mining -- A General Survey and Comparison Jochen Hipp Wilhelm
- Cited by 89 (7 self) – Add To MetaCart
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A New Algorithm for Faster Mining of Generalized Association Rules
- A New Algorithm for Faster Mining of Generalized Association Rules Jochen Hipp 1 , Andreas Myka
- Cited by 21 (7 self) – Add To MetaCart
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Data Quality Mining - Making a Virtue of Necessity
- DATA QUALITY MINING – Making a Virtue of Necessity – Jochen Hipp DaimlerChrysler AG, Research
- Cited by 9 (1 self) – Add To MetaCart
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Integrating Association Rule Mining Algorithms With Relational Database Systems
- INTEGRATING ASSOCIATION RULE MINING ALGORITHMS WITH RELATIONAL DATABASE SYSTEMS Jochen Hipp
- Cited by 6 (6 self) – Add To MetaCart
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Data Mining of Association Rules and the Process of Knowledge Discovery in Databases
- Data Mining of Association Rules and the Process of Knowledge Discovery in Databases Jochen Hipp
- Cited by 1 (0 self) – Add To MetaCart
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Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches
- Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches Jochen
- Cited by 16 (5 self) – Add To MetaCart
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Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches
- Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches Jochen
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Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining
- Ecient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining Jochen Hipp 1
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