Marzena Kryszkiewicz

发表

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1999, Inf. Sci..

Pattern Recognition and Machine Intelligence : 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, Proceedings

Sanghamitra Bandyopadhyay, Sankar K. Pal, Marzena Kryszkiewicz, 2015, PReMI 2015.

Concise Representations of Association Rules

Marzena Kryszkiewicz, 2002, Pattern Detection and Discovery.

Support Oriented Discovery of Generalized Disjunction-Free Representation of Frequent Patterns with Negation

Marzena Kryszkiewicz, Katarzyna Cichon, 2005, PAKDD.

Closures of Downward Closed Representations of Frequent Patterns

Marzena Kryszkiewicz, 2009, HAIS.

Emerging Intelligent Technologies in Industry, 19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011. Proceedings of the Industrial Session

Marzena Kryszkiewicz, Piotr Gawrysiak, Henryk Rybinski, 2011, ISMIS Industrial Session.

Rough Set Approach to Incomplete Information Systems

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1998, Inf. Sci..

Reducing Information Systems with Uncertain Real Value Attributes

Marzena Kryszkiewicz, Henryk Rybinski, 2000 .

Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area

Robert Bembenik, Nikola Kasabov, Marzena Kryszkiewicz, 2019, Environ. Model. Softw..

Rough Sets and Current Trends in Computing: 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014, Proceedings

Chris Cornelis, Ernestina Menasalvas Ruiz, Dominik Slezak, 2014 .

Comparative study of alternative types of knowledge reduction in inconsistent systems

Marzena Kryszkiewicz, 2001, Int. J. Intell. Syst..

Closed Set Based Discovery of Maximal Covering Rules

Marzena Kryszkiewicz, 2003, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2007, RSEISP.

Generalized Disjunction-Free Representation of Frequents Patterns with at Most k Negations

Marzena Kryszkiewicz, 2006, PAKDD.

Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators

Marzena Kryszkiewicz, Marcin Gajek, Marzena Kryszkiewicz, 2002, PAKDD.

Representative Rule Templates for Association Rules Satisfying Multiple Canonical Evaluation Criteria

Marzena Kryszkiewicz, 2018, ACIIDS.

Concise representations of frequent patterns and association rules

Marzena Kryszkiewicz, 2002 .

Representative Association Rules and Minimum Condition Maximum Consequence Association Rules

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1998, PKDD.

Dataless Transitions Between Concise Representations of Frequent Patterns

Marzena Kryszkiewicz, Marcin Gajek, Henryk Rybinski, 2004, Journal of Intelligent Information Systems.

Generation of Rules from Incomplete Information Systems

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1997, PKDD.

Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms

Andrzej Skowron, James F. Peters, Marzena Kryszkiewicz, 2007 .

Association Rules in Incomplete Databases

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1999, PAKDD.

A Lossless Representation for Association Rules Satisfying Multiple Evaluation Criteria

Marzena Kryszkiewicz, 2016, ACIIDS.

Faster Clustering with DBSCAN

Marzena Kryszkiewicz, Lukasz Skonieczny, 2005, Intelligent Information Systems.

Inducing Theory for the Rule Set

Marzena Kryszkiewicz, 2000, Rough Sets and Current Trends in Computing.

Bounds on Lengths of Real Valued Vectors Similar with Regard to the Tanimoto Similarity

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2013, ACIIDS.

Proceedings of the 7th international conference on Rough sets and current trends in computing

Qinghua Hu, Qinghua Hu, Sheela Ramanna, 2010 .

On Cosine and Tanimoto Near Duplicates Search among Vectors with Domains Consisting of Zero, a Positive Number and a Negative Number

Marzena Kryszkiewicz, 2013, FQAS.

Compressed Disjunction-Free Pattern Representation versus Essential Pattern Representation

Marzena Kryszkiewicz, 2009, IDEAL.

Discovering Word Meanings Based on Frequent Termsets

Marzena Kryszkiewicz, Alexandre Delteil, Grzegorz Protaziuk, 2007, MCD.

Rough Sets and Current Trends in Computing

Marzena Kryszkiewicz, Sheela Ramanna, Qinghua Hu, 2014, Lecture Notes in Computer Science.

Mining with Cover and Extension Operators

Marzena Kryszkiewicz, 2000, PKDD.

Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction

Robert Bembenik, Marzena Kryszkiewicz, Piotr S. Maciąg, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Using Non-Zero Dimensions for the Cosine and Tanimoto Similarity Search Among Real Valued Vectors

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2013, Fundam. Informaticae.

Inferring Knowledge from Frequent Patterns

Marzena Kryszkiewicz, 2002, Soft-Ware.

Reducing borders of k-disjunction free representations of frequent patterns

Marzena Kryszkiewicz, 2004, SAC '04.

Discovery of closed spatio-temporal sequential patterns from event data

Robert Bembenik, Marzena Kryszkiewicz, Piotr S. Maciag, 2019, KES.

Explicit Contrast Patterns Versus Minimal Jumping Emerging Patterns for Lazy Classification in High Dimensional Data

Marzena Kryszkiewicz, Przemyslaw Podsiadly, 2016, IEA/AIE.

Rough Sets and Intelligent Systems Paradigms

Chris Cornelis, Hiroshi Motoda, Marzena Kryszkiewicz, 2014, Lecture Notes in Computer Science.

Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation

Marzena Kryszkiewicz, 2009, DaWaK.

Virtual Balancing of Decision Classes

Marzena Kryszkiewicz, 2017, ACIIDS.

Intelligent Tools for Building a Scientific Information Platform

Robert Bembenik, Marzena Kryszkiewicz, Lukasz Skonieczny, 2013, Intelligent Tools for Building a Scientific Information Platform.

Erratum: Rough Sets and Current Trends in Computing

Chris Cornelis, Ernestina Menasalvas Ruiz, Rafael Bello, 2014 .

Efficient Search of Cosine and Tanimoto Near Duplicates among Vectors with Domains Consisting of Zero, a Positive Number and a Negative Number

Marzena Kryszkiewicz, Przemyslaw Podsiadly, 2014, IEA/AIE.

Why to Apply Generalized Disjunction-Free Generators Representation of Frequent Patterns?

Marzena Kryszkiewicz, Marcin Gajek, 2002, ISMIS.

Fast Discovery of Generalized Sequential Patterns

Marzena Kryszkiewicz, Lukasz Skonieczny, 2019, Intelligent Methods and Big Data in Industrial Applications.

Closed Set Based Discovery of Representative Association Rules

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2001, IDA.

Towards Scalable Algorithms for Discovering Rough Set Reducts

Marzena Kryszkiewicz, Katarzyna Cichon, Marzena Kryszkiewicz, 2004, Trans. Rough Sets.

Using generators for discovering certain and generalized decision rules

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Mining around Association and Representative Rules

Marzena Kryszkiewicz, 2000, ADBIS-DASFAA.

Preface

Zbigniew W. Ras, Marzena Kryszkiewicz, Sergei A. Obiedkov, 2012, Fundam. Informaticae.

Legitimate Approach to Association Rules under Incompleteness

Marzena Kryszkiewicz, Henryk Rybinski, 2000, ISMIS.

Basic Triangle Inequality Approach Versus Metric VP-Tree and Projection in Determining Euclidean and Cosine Neighbors

Marzena Kryszkiewicz, Bartlomiej Janczak, Marzena Kryszkiewicz, 2014, Intelligent Tools for Building a Scientific Information Platform.

Dependence Factor as a Rule Evaluation Measure

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2016, Challenges in Computational Statistics and Data Mining.

TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality

Marzena Kryszkiewicz, Piotr Lasek, Marzena Kryszkiewicz, 2010, RSCTC.

Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation

Robert Bembenik, Marzena Kryszkiewicz, Lukasz Skonieczny, 2014, Intelligent Tools for Building a Scientific Information Platform.

Scalable Methods of Discovering Rough Sets Reducts

Marzena Kryszkiewicz, Katarzyna Cichon, 2004, Intelligent Information Systems.

The Triangle Inequality versus Projection onto a Dimension in Determining Cosine Similarity Neighborhoods of Non-negative Vectors

Marzena Kryszkiewicz, 2012, RSCTC.

Efficient Determination of Binary Non-negative Vector Neighbors with Regard to Cosine Similarity

Marzena Kryszkiewicz, 2012, IEA/AIE.

Finding Reducts in Composed Information Systems

Marzena Kryszkiewicz, Henryk Rybinski, 1993, RSKD.

Computation of Reducts of Composed Information Systems

Marzena Kryszkiewicz, Henryk Rybinski, 1996, Fundam. Informaticae.

Reasoning about Frequent Patterns with Negation

Marzena Kryszkiewicz, 2009, Encyclopedia of Data Warehousing and Mining.

Generalized disjunction-free representation of frequent patterns with negation

Marzena Kryszkiewicz, 2005, J. Exp. Theor. Artif. Intell..

Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings

Qinghua Hu, Sheela Ramanna, Marzena Kryszkiewicz, 2010, RSCTC.

Hierarchical Document Clustering Using Frequent Closed Sets

Marzena Kryszkiewicz, Lukasz Skonieczny, Marzena Kryszkiewicz, 2006, Intelligent Information Systems.

On Concise Representations of Frequent Patterns Admitting Negation

Marzena Kryszkiewicz, Henryk Rybinski, Katarzyna Cichon, 2010, Advances in Machine Learning II.

Machine Intelligence and Big Data in Industry

Marzena Kryszkiewicz, Piotr Gawrysiak, Henryk Rybinski, 2016 .

Incomplete Database Issues for Representative Association Rules

Marzena Kryszkiewicz, Henryk Rybinski, H. Rybinski, 1999, ISMIS.

Using Non-Zero Dimensions and Lengths of Vectors for the Tanimoto Similarity Search among Real Valued Vectors

Marzena Kryszkiewicz, 2014, ACIIDS.

Fast Discovery of Representative Association Rules

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1998, Rough Sets and Current Trends in Computing.

Generalized Rules in Incomplete Information Systems

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1997, ISMIS.

Representative Association Rules

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 1998, PAKDD.

Concise representation of frequent patterns based on disjunction-free generators

Marzena Kryszkiewicz, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Direct and Incremental Computing of Maximal Covering Rules

Marzena Kryszkiewicz, 2001, PAKDD.

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks pdf

Robert Bembenik, Javier Del Ser, Marzena Kryszkiewicz, 2019, ArXiv.

Discovering Synonyms Based on Frequent Termsets

Marzena Kryszkiewicz, Alexandre Delteil, Grzegorz Protaziuk, 2007, RSEISP.

ACBC-Adequate Association and Decision Rules Versus Key Generators and Rough Sets Approximations

Marzena Kryszkiewicz, 2016, Fundam. Informaticae.

Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014

Chris Cornelis, Hiroshi Motoda, Davide Ciucci, 2014 .

Proceedings of the 19th international conference on Foundations of intelligent systems

Marzena Kryszkiewicz, Henryk Rybinski, Andrzej Skowron, 2005 .

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations

Dominik Slezak, Andrzej Janusz, Marzena Kryszkiewicz, 2017, ISMIS.

FUN: Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute

Marzena Kryszkiewicz, Piotr Lasek, Marzena Kryszkiewicz, 2008, Trans. Rough Sets.

Probabilistic Approach to Association Rules in Incomplete Databases

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2000, Web-Age Information Management.

Discovering Compound and Proper Nouns

Marzena Kryszkiewicz, Alexandre Delteil, Grzegorz Protaziuk, 2007, RSEISP.

Reducing Information Systems with Uncertain Attributes

Marzena Kryszkiewicz, Henryk Rybinski, H. Rybinski, 1996, ISMIS.

Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute

Marzena Kryszkiewicz, Piotr Lasek, 2007, RSEISP.

Dependence Factor for Association Rules

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2015, ACIIDS.

A Neighborhood-Based Clustering by Means of the Triangle Inequality

Marzena Kryszkiewicz, Piotr Lasek, Marzena Kryszkiewicz, 2010, IDEAL.

Upper bound on the length of generalized disjunction-free patterns

Marzena Kryszkiewicz, 2004, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004..

Determining Cosine Similarity Neighborhoods by Means of the Euclidean Distance

Marzena Kryszkiewicz, 2013, Rough Sets and Intelligent Systems.

Rough Sets and Intelligent Systems Paradigms, International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings

Marzena Kryszkiewicz, Rseisp, 2007, RSEISP.

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

Robert Bembenik, Javier Del Ser, Marzena Kryszkiewicz, 2019, Neural Networks.

Determining Tanimoto Similarity Neighborhoods of Real-Valued Vectors by Means of the Triangle Inequality and Bounds on Lengths

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2021, IJCRS.

Query Rough-Answering System for CKBS

Zbigniew W. Ras, Marzena Kryszkiewicz, .

Data mining in incomplete information systems from rough set perspective

Marzena Kryszkiewicz, Henryk Rybinski, H. Rybinski, 2000 .

Marzena Kryszkiewicz, Marzena Kryszkiewicz, 2014 .

On-Demand Generation of AOC-Posets: Reducing the Complexity of Conceptual Navigation

Andrzej Skowron, Annalisa Appice, Marzena Kryszkiewicz, 2017, ISMIS.

Data Mining for Technical Operation of Telecommunications Companies: a Case Study

Marzena Kryszkiewicz, Piotr Gawrysiak, Tomasz Traczyk, 2003 .