Search results for "propositionalization"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
151	Grant Anderson, Bernhard Pfahringer	Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning.	PAKDD	2008	DBLP DOI BibTeX RDF	semi-supervised, randomization, propositionalization
78	Érick Alphonse	Macro-Operators Revisited in Inductive Logic Programming.	ILP	2004	DBLP DOI BibTeX RDF
72	Grant Anderson, Bernhard Pfahringer	Clustering Relational Data Based on Randomized Propositionalization.	ILP	2007	DBLP DOI BibTeX RDF	clustering, randomization, propositionalization
72	Filip Zelezný, Nada Lavrac	Propositionalization-based relational subgroup discovery with RSD.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Feature construction, Subgroup discovery, Relational data mining, Propositionalization
66	Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel	Comparative Evaluation of Approaches to Propositionalization.	ILP	2003	DBLP DOI BibTeX RDF
66	Agnès Braud, Christel Vrain	A Genetic Algorithm for Propositionalization.	ILP	2001	DBLP DOI BibTeX RDF
53	Thashmee Karunaratne, Henrik Boström	Graph Propositionalization for Random Forests.	ICMLA	2009	DBLP DOI BibTeX RDF	Graph Propositionalization, Learning algorithms, structured data
46	Monika Záková, Filip Zelezný	Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning.	ECML	2007	DBLP DOI BibTeX RDF
46	Mark-A. Krogel, Stefan Wrobel	Feature Selection for Propositionalization.	Discovery Science	2002	DBLP DOI BibTeX RDF
46	Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker	Propositionalization for Clustering Symbolic Relational Descriptions.	ILP	2002	DBLP DOI BibTeX RDF
46	Mark-A. Krogel, Tobias Scheffer	Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	information extraction, co-training, propositionalization
39	Ondrej Kuzelka, Filip Zelezný	Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties.	ICML	2009	DBLP DOI BibTeX RDF
39	Ulrich Rückert 0002, Stefan Kramer 0001	Margin-based first-order rule learning.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	First-order learning, Capacity control, Relational learning, Rule learning, Margins
39	Nada Lavrac, Peter A. Flach	An extended transformation approach to inductive logic programming.	ACM Trans. Comput. Log.	2001	DBLP DOI BibTeX RDF	data mining, machine learning, relational databases, inductive logic programming
27	Luis A. Quintero-Domínguez, Carlos Morell 0001, Sebastián Ventura	A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming.	Expert Syst. Appl.	2021	DBLP DOI BibTeX RDF
27	Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja	Propositionalization and embeddings: two sides of the same coin.	Mach. Learn.	2020	DBLP DOI BibTeX RDF
27	Nada Lavrac, Blaz Skrlj, Marko Robnik-Sikonja	Propositionalization and Embeddings: Two Sides of the Same Coin.	CoRR	2020	DBLP BibTeX RDF
27	Marc Boullé, Clément Charnay, Nicolas Lachiche	A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data.	Mach. Learn.	2019	DBLP DOI BibTeX RDF
27	Jonas Schouterden, Jesse Davis, Hendrik Blockeel	LazyBum: Decision tree learning using lazy propositionalization.	CoRR	2019	DBLP BibTeX RDF
27	Luis A. Quintero-Domínguez, Carlos Morell 0001, Sebastián Ventura	WordificationMI: multi-relational data mining through multiple-instance propositionalization.	Prog. Artif. Intell.	2019	DBLP DOI BibTeX RDF
27	Jonas Schouterden, Jesse Davis, Hendrik Blockeel	LazyBum: Decision Tree Learning Using Lazy Propositionalization.	ILP	2019	DBLP DOI BibTeX RDF
27	Valentin Kassarnig, Franz Wotawa	Evolutionary Propositionalization of Multi-Relational Data - Research Notes.	Int. J. Softw. Eng. Knowl. Eng.	2018	DBLP DOI BibTeX RDF
27	Valentin Kassarnig, Franz Wotawa	Evolutionary propositionalization of multi-relational data.	SEKE	2018	DBLP DOI BibTeX RDF
27	Nicolas Lachiche	Propositionalization.	Encyclopedia of Machine Learning and Data Mining	2017	DBLP DOI BibTeX RDF
27	Florian Jakobs, Yordan Terziev, Volker Gruhn	Binary Vector based Propositionalization Strategy for Multivalued Relations in Linked Data.	ISWC (Posters, Demos & Industry Tracks)	2017	DBLP BibTeX RDF
27	Fatemeh Riahi, Oliver Schulte	Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data.	FLAIRS	2016	DBLP BibTeX RDF
27	Matic Perovsek, Anze Vavpetic, Janez Kranjc, Bojan Cestnik, Nada Lavrac	Wordification: Propositionalization by unfolding relational data into bags of words.	Expert Syst. Appl.	2015	DBLP DOI BibTeX RDF
27	Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Soufiane El Jelali, Agnès Braud	Flexible propositionalization of continuous attributes in relational data mining.	Expert Syst. Appl.	2015	DBLP DOI BibTeX RDF
27	Petar Ristoski	Towards Linked Open Data Enabled Data Mining - Strategies for Feature Generation, Propositionalization, Selection, and Consolidation.	ESWC	2015	DBLP DOI BibTeX RDF
27	Manoel Vitor Macedo França, Gerson Zaverucha, Artur S. d'Avila Garcez	Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses.	AAAI Spring Symposia	2015	DBLP BibTeX RDF
27	Manoel V. M. França, Gerson Zaverucha, Artur S. d'Avila Garcez	Fast relational learning using bottom clause propositionalization with artificial neural networks.	Mach. Learn.	2014	DBLP DOI BibTeX RDF
27	Petar Ristoski, Heiko Paulheim	A Comparison of Propositionalization Strategies for Creating Features from Linked Open Data.	LD4KD	2014	DBLP BibTeX RDF
27	Nada Lavrac, Matic Perovsek, Anze Vavpetic	Propositionalization Online.	ECML/PKDD (3)	2014	DBLP DOI BibTeX RDF
27	Nicola Di Mauro, Floriana Esposito	Ensemble Relational Learning based on Selective Propositionalization.	CoRR	2013	DBLP BibTeX RDF
27	Quang-Thang Dinh, Christel Vrain, Matthieu Exbrayat	A Link-Based Method for Propositionalization.	ILP (Late Breaking Papers)	2012	DBLP BibTeX RDF
27	Michele Samorani, Manuel Laguna, Robert Kirk DeLisle, Daniel C. Weaver	A Randomized Exhaustive Propositionalization Approach for Molecule Classification.	INFORMS J. Comput.	2011	DBLP DOI BibTeX RDF
27	Nicolas Lachiche	Propositionalization.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
27	Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito	Approximate Relational Reasoning by Stochastic Propositionalization.	Advances in Intelligent Information Systems	2010	DBLP DOI BibTeX RDF
27	Thashmee Karunaratne, Henrik Boström, Ulf Norinder	Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.	ICMLA	2010	DBLP DOI BibTeX RDF
27	Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain	Discriminative Markov Logic Network Structure Learning Based on Propositionalization and chi2-Test.	ADMA (1)	2010	DBLP DOI BibTeX RDF
27	Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito	Stochastic Propositionalization for Efficient Multi-relational Learning.	ISMIS	2008	DBLP DOI BibTeX RDF
27	Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara	Variational Bayes via Propositionalization.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
27	Thashmee Karunaratne, Henrik Boström	Learning to classify structured data by graph propositionalization.	Computational Intelligence	2006	DBLP BibTeX RDF
27	Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan 0001	ILP Through Propositionalization and Stochastic k-Term DNF Learning.	ILP	2006	DBLP DOI BibTeX RDF
27	Michelangelo Ceci, Annalisa Appice, Donato Malerba	Propositionalization Through Relational Association Rules Mining.	SEBD	2005	DBLP BibTeX RDF
27	Mark-André Krogel	On propositionalization for knowledge discovery in relational databases.		2005	RDF
27	Filip Zelezný	Efficiency-conscious propositionalization for relational learning.	Kybernetika	2004	DBLP BibTeX RDF
27	Stefan Kramer 0001	Thesis: Relational learning vs. propositionalization.	AI Commun.	2000	DBLP BibTeX RDF
27	Stefan Kramer 0001, Eibe Frank	Bottom-Up Propositionalization.	ILP Work-in-progress reports	2000	DBLP BibTeX RDF
27	Érick Alphonse, Céline Rouveirol	Selective Propositionalization for Relational Learning.	PKDD	1999	DBLP DOI BibTeX RDF
27	Stefan Kramer 0001, Bernhard Pfahringer, Christoph Helma	Stochastic Propositionalization of Non-determinate Background Knowledge.	ILP	1998	DBLP DOI BibTeX RDF
26	Érick Alphonse, Stan Matwin	Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning.	J. Intell. Inf. Syst.	2004	DBLP DOI BibTeX RDF	relational learning, feature subset selection, propositionalization
26	Claudia Perlich, Foster J. Provost	Aggregation-based feature invention and relational concept classes.	KDD	2003	DBLP DOI BibTeX RDF	aggregation, relational learning, feature construction, constructive induction, propositionalization
26	Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer	Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study.	SIGKDD Explor.	2002	DBLP DOI BibTeX RDF	ROC analyses, information extraction, text classification, KDD Cup, propositionalization
20	Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan 0001	Feature Construction Using Theory-Guided Sampling and Randomised Search.	ILP	2008	DBLP DOI BibTeX RDF
20	James R. Foulds, Eibe Frank	Revisiting Multiple-Instance Learning Via Embedded Instance Selection.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF
20	Filip Zelezný	Efficient Sampling in Relational Feature Spaces.	ILP	2005	DBLP DOI BibTeX RDF
20	Nada Lavrac, Filip Zelezný, Saso Dzeroski	Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.	Local Pattern Detection	2004	DBLP DOI BibTeX RDF
20	Peter Reutemann, Bernhard Pfahringer, Eibe Frank	A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
20	Mark-A. Krogel, Tobias Scheffer	Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes.	ICDM	2003	DBLP DOI BibTeX RDF
20	Nada Lavrac, Filip Zelezný, Peter A. Flach	RSD: Relational Subgroup Discovery through First-Order Feature Construction.	ILP	2002	DBLP DOI BibTeX RDF
20	Stefan Kramer 0001	Demand-Driven Construction of Structural Features in ILP.	ILP	2001	DBLP DOI BibTeX RDF