International Journal of Man-Machine Studies
Rough sets: probabilistic versus deterministic approach
Machine learning and uncertain reasoning
Computational learning theory: an introduction
Computational learning theory: an introduction
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Minimal cost set covering using probabilistic methods
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Variable precision rough set model
Journal of Computer and System Sciences
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
Machine Learning - Special issue on evaluating and changing representation
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
GRASP—a new search algorithm for satisfiability
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
Theoretical foundations of order-based genetic algorithms
Fundamenta Informaticae - Special issue: to the memory of Prof. Helena Rasiowa
A Comparative Analysis of Methods for Pruning Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Efficient enumeration of frequent sequences
Proceedings of the seventh international conference on Information and knowledge management
Fundamenta Informaticae
From optimal hyperplanes to optimal decision trees
Fundamenta Informaticae
A Computing Procedure for Quantification Theory
Journal of the ACM (JACM)
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data mining and rough set theory
Communications of the ACM
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
&agr;-RST: a generalization of rough set theory
Information Sciences—Informatics and Computer Science: An International Journal
Data mining: concepts and techniques
Data mining: concepts and techniques
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set algorithms in classification problem
Rough set methods and applications
Various approaches to reasoning with frequency based decision reducts: a survey
Rough set methods and applications
Regularity analysis and its applications in data mining
Rough set methods and applications
A machine program for theorem-proving
Communications of the ACM
Chaff: engineering an efficient SAT solver
Proceedings of the 38th annual Design Automation Conference
Principles of data mining
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Logic for Problem Solving
Symbolic Logic and Mechanical Theorem Proving
Symbolic Logic and Mechanical Theorem Proving
Scalable High Performance Computing for Knowledge Discovery and Data Mining
Scalable High Performance Computing for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
The minimum equivalent DNF problem and shortest implicants
Journal of Computer and System Sciences
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Logic and Data Bases
Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Machine Learning
Machine Learning
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
On Changing Continuous Attributes into Ordered Discrete Attributes
EWSL '91 Proceedings of the European Working Session on Machine Learning
Rule Induction with CN2: Some Recent Improvements
EWSL '91 Proceedings of the European Working Session on Machine Learning
Class-Driven Statistical Discretization of Continuous Attributes (Extended Abstract)
ECML '95 Proceedings of the 8th European Conference on Machine Learning
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Boolean Reasoning Scheme with Some Applications in Data Mining
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Efficient SQL-Querying Method for Data Mining in Large Data Bases
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Boolean Reasoning for Decision Rules Generation
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
Dynamic Reducts as a Tool for Extracting Laws from Decisions Tables
ISMIS '94 Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems
Rough Sets and Knowledge Discovery: An Overview
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Discretization Problem for Rough Sets Methods
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
On Finding Optimal Discretizations for Two Attributes
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
RSES and RSESlib - A Collection of Tools for Rough Set Computations
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Scalable Classification Method Based on Rough Sets
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Approximate Reducts and Association Rules - Correspondence and Complexity Results
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Proceedings of the IIS'2002 Symposium on Intelligent Information Systems
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Rough sets perspective on data and knowledge
Handbook of data mining and knowledge discovery
Data mining tasks and methods: Classification: multicriteria classification
Handbook of data mining and knowledge discovery
Fundamenta Informaticae
Chi2: Feature Selection and Discretization of Numeric Attributes
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Computing Prime Implicants by Integer Programming
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
BerkMin: A Fast and Robust Sat-Solver
Proceedings of the conference on Design, automation and test in Europe
Prime Implicant Computation Using Satisfiability Algorithms
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
A symbolic analysis of relay and switching circuits
A symbolic analysis of relay and switching circuits
Automated theorem proving: A logical basis (Fundamental studies in computer science)
Automated theorem proving: A logical basis (Fundamental studies in computer science)
On Efficient Handling of Continuous Attributes in Large Data Bases
Fundamenta Informaticae
Fast split selection method and its application in decision tree construction from large databases
International Journal of Hybrid Intelligent Systems - Hybrid Intelligence using rough sets
A system for induction of oblique decision trees
Journal of Artificial Intelligence Research
Ten challenges in propositional reasoning and search
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Discovering classification rules using variable-valued logic system VL
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
A view on rough set concept approximations
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Pushing the envelope: planning, propositional logic, and stochastic search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
ChiMerge: discretization of numeric attributes
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
A new method for solving hard satisfiability problems
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Learning trees and rules with set-valued features
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Finding rough set reducts with SAT
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Approximate boolean reasoning approach to rough sets and data mining
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Complexity of DNF and isomorphism of monotone formulas
MFCS'05 Proceedings of the 30th international conference on Mathematical Foundations of Computer Science
Approximate Reasoning in MAS: Rough Set Approach
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Approximate Reasoning in MAS: Rough Set Approach
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
A systematic study on attribute reduction with rough sets based on general binary relations
Information Sciences: an International Journal
A Modal Logic for Pawlak's Approximation Spaces with Rough Cardinality n
Fundamenta Informaticae
Hierarchical Rough Classifiers
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Universal Attribute Reduction Problem
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Discernibility matrix simplification for constructing attribute reducts
Information Sciences: an International Journal
Universal Problem of Attribute Reduction
Transactions on Rough Sets IX
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Greedy Algorithm for Construction of Partial Association Rules
Fundamenta Informaticae
Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts
Transactions on Computational Science V
On Construction of Partial Association Rules
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Toward Rough-Granular Computing
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Rough Neural Networks for Complex Concepts
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Greedy Algorithms withWeights for Construction of Partial Association Rules
Fundamenta Informaticae
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
Interactive Rough-Granular Computing in Pattern Recognition
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Roughfication of numeric decision tables: the case study of gene expression data
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Using rough reducts to analyze the independency of earthquake precursory items
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Toward perception based computing: a rough-granular perspective
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
A model of user-oriented reduct construction for machine learning
Transactions on rough sets VIII
Approximation Spaces in Rough-Granular Computing
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
RSCTC'2010 discovery challenge: mining DNA microarray data for medical diagnosis and treatment
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Software defect prediction based on source code metrics time series
Transactions on rough sets XIII
The use of rough set methods in knowledge discovery in databases: tutorial abstract
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Robust fuzzy rough classifiers
Fuzzy Sets and Systems
Investigating the effectiveness of thesaurus generated using tolerance rough set model
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Approximation of sets based on partial covering
Theoretical Computer Science
Modeling rough granular computing based on approximation spaces
Information Sciences: an International Journal
Semantic analytics of pubmed content
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Ensembles of bireducts: towards robust classification and simple representation
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
Greedy Algorithm for Construction of Partial Association Rules
Fundamenta Informaticae
Dynamic rule-based similarity model for DNA microarray data
Transactions on Rough Sets XV
Greedy Algorithms withWeights for Construction of Partial Association Rules
Fundamenta Informaticae
A Modal Logic for Pawlak's Approximation Spaces with Rough Cardinality n
Fundamenta Informaticae
Dynamic Programming Approach for Partial Decision Rule Optimization
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Rough Set Based Reasoning About Changes
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
An Improved Axiomatic Definition of Information Granulation
Fundamenta Informaticae
Dynamic programming approach to optimization of approximate decision rules
Information Sciences: an International Journal
An intelligent supplier evaluation, selection and development system
Applied Soft Computing
Optimization of β-decision rules relative to number of misclassifications
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Classifiers Based on Optimal Decision Rules
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Two Database Related Interpretations of Rough Approximations: Data Organization and Query Execution
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
A Domain Knowledge as a Tool For Improving Classifiers
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Nearness of Visual Objects. Application of Rough Sets in Proximity Spaces
Fundamenta Informaticae - Concurrency, Specification and Programming
Relationships Between Length and Coverage of Decision Rules
Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
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Since its introduction by George Boole during the mid-1800s, Boolean algebra has become an important part of the lingua franca of mathematics, science, engineering, and research in artificial intelligence, machine learning and data mining. The Boolean reasoning approach has manifestly become a powerful tool for designing effective and accurate solutions for many problems in decision-making and approximate reasoning optimization. In recent years, Boolean reasoning has become a recognized technique for developing many interesting concept approximation methods in rough set theory. The problem considered in this paper is the creation of a general framework for concept approximation. The need for such a general framework arises in machine learning and data mining. This paper presents a solution to this problem by introducing a general framework for concept approximation which combines rough set theory, Boolean reasoning methodology and data mining. This general framework for approximate reasoning is called Rough Sets and Approximate Boolean Reasoning (RSABR). The contribution of this paper is the presentation of the theoretical foundation of RSABR as well as its application in solving many data mining problems and knowledge discovery in databases (KDD) such as feature selection, feature extraction, data preprocessing, classification of decision rules and decision trees, association analysis.