Siegfried Nijssen

According to our database1, Siegfried Nijssen
  • authored at least 82 papers between 2001 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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On csauthors.net:

Bibliography

2017
Tree Mining.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Constraint-Based Mining.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Semiring Rank Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2017

The Inductive Constraint Programming Loop.
IEEE Intelligent Systems, 2017

MiningZinc: A declarative framework for constraint-based mining.
Artif. Intell., 2017

Biclustering Multivariate Time Series.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving.
Proceedings of the Principles and Practice of Constraint Programming, 2017

2016
Partition-Based Clustering Using Constraint Optimization.
Proceedings of the Data Mining and Constraint Programming, 2016

Modeling in MiningZinc.
Proceedings of the Data Mining and Constraint Programming, 2016

The Inductive Constraint Programming Loop.
Proceedings of the Data Mining and Constraint Programming, 2016

Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.
Bioinformatics, 2016

Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data.
Knowl. Inf. Syst., 2015

The Inductive Constraint Programming Loop.
CoRR, 2015

Rank Matrix Factorisation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Constraint-Based Querying for Bayesian Network Exploration.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Finding Subspace Clusters Using Ranked Neighborhoods.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Interactive Learning of Pattern Rankings.
International Journal on Artificial Intelligence Tools, 2014

Constraints, Optimization and Data (Dagstuhl Seminar 14411).
Dagstuhl Reports, 2014

Ranked Tiling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Mining multivariate time series with mixed sampling rates.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, UbiComp '14, Seattle, WA, 2014

Constrained Clustering Using Column Generation.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

Supervised Pattern Mining and Applications to Classification.
Proceedings of the Frequent Pattern Mining, 2014

Constraint-Based Pattern Mining.
Proceedings of the Frequent Pattern Mining, 2014

2013
k-Pattern Set Mining under Constraints.
IEEE Trans. Knowl. Data Eng., 2013

Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.
Machine Learning, 2013

Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.
Data Min. Knowl. Discov., 2013

MiningZinc: A Modeling Language for Constraint-Based Mining.
Proceedings of the IJCAI 2013, 2013

Active Preference Learning for Ranking Patterns.
Proceedings of the 2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013

Dominance Programming for Itemset Mining.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

The MiningZinc Framework for Constraint-Based Itemset Mining.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Mining characteristic multi-scale motifs in sensor-based time series.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Formalizing Hierarchical Clustering as Integer Linear Programming.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
BiQL: A Query Language for Analyzing Information Networks.
Proceedings of the Bisociative Knowledge Discovery, 2012

k-Optimal: a novel approximate inference algorithm for ProbLog.
Machine Learning, 2012

A Revised Publication Model for ECML PKDD
CoRR, 2012

Mining Patterns in Networks using Homomorphism.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

MDL-Based Analysis of Time Series at Multiple Time-Scales.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining Local Staircase Patterns in Noisy Data.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201).
Dagstuhl Reports, 2011

Pattern-Based Classification: A Unifying Perspective
CoRR, 2011

Mining Patterns in Networks using Homomorphism
CoRR, 2011

Itemset mining: A constraint programming perspective.
Artif. Intell., 2011

Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract).
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

k-Optimal: A Novel Approximate Inference Algorithm for ProbLog.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Constraint-Based Pattern Mining in Multi-relational Databases.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Declarative Heuristic Search for Pattern Set Mining.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Tree Mining.
Proceedings of the Encyclopedia of Machine Learning, 2010

Constraint-Based Mining.
Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Predictive k-CNF Expressions.
IEEE Trans. Knowl. Data Eng., 2010

Optimal constraint-based decision tree induction from itemset lattices.
Data Min. Knowl. Discov., 2010

Integrating Constraint Programming and Itemset Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Analyzing graph databases by aggregate queries.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Cis-regulatory module detection using constraint programming.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Constraint Programming for Data Mining and Machine Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Inductive Queries for a Drug Designing Robot Scientist.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

From Local Patterns to Classification Models.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Generalizing Itemset Mining in a Constraint Programming Setting.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Polynomial-Delay Enumeration of Monotonic Graph Classes.
Journal of Machine Learning Research, 2009

Grammar Mining.
Proceedings of the SIAM International Conference on Data Mining, 2009

Correlated itemset mining in ROC space: a constraint programming approach.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A query language for analyzing networks.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
What Is Frequent in a Single Graph?.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Constraint programming for itemset mining.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Bayes optimal classification for decision trees.
Proceedings of the Machine Learning, 2008

2007
General Graph Refinement with Polynomial Delay.
Proceedings of the Mining and Learning with Graphs, 2007

Mining optimal decision trees from itemset lattices.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Substructure Mining Using Elaborate Chemical Representation.
Journal of Chemical Information and Modeling, 2006

Don't Be Afraid of Simpler Patterns.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

IQL: A Proposal for an Inductive Query Language.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

2005
Open source data mining: workshop report.
SIGKDD Explorations, 2005

Frequent Subtree Mining - An Overview.
Fundam. Inform., 2005

The Gaston Tool for Frequent Subgraph Mining.
Electr. Notes Theor. Comput. Sci., 2005

Multi-class Correlated Pattern Mining.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

2004
Frequent graph mining and its application to molecular databases.
Proceedings of the IEEE International Conference on Systems, 2004

A quickstart in frequent structure mining can make a difference.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Ideal Refinement of Datalog Clauses Using Primary Keys.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
An analysis of the behavior of simplified evolutionary algorithms on trap functions.
IEEE Trans. Evolutionary Computation, 2003

Efficient Frequent Query Discovery in FARMER.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2001
Faster Association Rules for Multiple Relations.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001


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