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The aim of the Prague Relational Learning Repository is to support machine learning research with multi-relational data.
Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. Correlation with molecular orbital energies and hydrophobicity
Asim Kumar Debnath, Rosa L. Lopez de Compadre, Gargi Debnath, Alan J. Shusterman, and Corwin Hansch · 1991
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The Application of Inductive Logic Programming to Finite Element Mesh Design
Bojan Dolvsak and Stephen Muggleton · 1992
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3. tpc-c–the standard benchmark for online transaction processsing (oltp)
Total Priced KB · 1992
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Finding accurate frontiers: A knowledge-intensive approach to relational learning
Michael Pazzani and Clifford Brunk · 1993
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To the international computing community: A new east-west challenge
Donald Michie, Stephen Muggleton, David Page, and Ashwin Srinivasan · 1994
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Automated refinement of first-order horn-clause domain theories
Bradley L. Richards and Raymond J. Mooney · 1995
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Carcinogenesis predictions using ILP
Ashwin Srinivasan, Ross Donald King, Stephen Muggleton, and Michael Joseph Ezra Sternberg · 1997
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The predictive toxicology evaluation challenge
Ashwin Srinivasan, Stephen Muggleton, Ross Donald King, and Michael Joseph Ezra Sternberg · 1997
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Workshop notes on Discovery Challenge PKDD’99
Petr Berka · 1999
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Information extraction and integration: The Mondial case study
Wolfgang May · 1999
Cited alongside, same era.
The UCI KDD archive of large data sets for data mining research and experimentation
Stephen D. Bay, Dennis Kibler, Michael J. Pazzani, and Padhraic Smyth · 2000
Cited alongside, same era.
The Predictive Toxicology Challenge 2000-2001
Christoph Helma, Ross Donald King, Stefan Kramer, and Ashwin Srinivasan · 2001
Cited alongside, same era.
KDD Cup 2001 report
Jie Cheng, Christos Hatzis, Hisashi Hayashi, Mark-André Krogel, Shinichi Morishita, David Page, and Jun Sese · 2002
Cited alongside, same era.
PKDD 2001 Discovery Challenge - Medical Domain
Ivan Coursac and Nicolas Duteil · 2002
Cited alongside, same era.
Experiments in Predicting Biodegradability
Hendrik Blockeel, Savso Dvzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, and Wim Van Laer · 2004
Cited alongside, same era.
Exploring Optimization of Semantic Relationship Graph for Multi-relational {B}ayesian Classification
Hailiang Chen, Hongyan Liu, Jiawei Han, and Xiaoxin Yin · 2009
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Concept discovery on relational databases: New techniques for search space pruning and rule quality improvement
Yusuf Kavurucu, Pinar Senkul, and Ismail Hakki Toroslu · 2010
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ClowdFlows: A Cloud Based Scientific Workflow Platform
Janez Kranjc, Vid Podpevcan, and Nada Lavravc · 2012
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Identifying Important Nodes in Relational Data
Fatemeh Riahi, Oliver Schulte, and Qing Li · 2013
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TPC-H Analyzed: Hidden Messages and Lessons Learned from an Influential Benchmark
Peter Boncz, Thomas Neumann, and Orri Erling · 2014
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Fast Learning of Relational Dependency Networks
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The making of TPC-DS
Raghunath Othayoth Nambiar and Meikel Poess · 2006
Cited alongside, same era.
Markov logic networks
Matthew Richardson and Pedro Domingos · 2006
Cited alongside, same era.
Oliver Schulte, Zhensong Qian, Arthur E. Kirkpatrick, Xiaoqian Yin, and Yan Sun · 2014
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Aggregating predictions vs. aggregating features for relational classification
Oliver Schulte and Kurt Routley · 2014
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Wordification : Propositionalization by unfolding relational data into bags of words
Matic Perovvsek, Anvze Vavpetivc, Janez Kranjc, Bojan Cestnik, and Nada Lavravc · 2015
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