Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Synthesizing knowledge: A cluster analysis approach using event covering
IEEE Transactions on Systems, Man and Cybernetics
Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classifier systems and genetic algorithms
Machine learning: paradigms and methods
C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
On the Unknown Attribute Values in Learning from Examples
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
Modeling and Imputation of Large Incomplete Multidimensional Datasets
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Incomplete Data Decomposition for Classification
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
On Granular Rough Computing with Missing Values
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data
Transactions on Rough Sets IX
Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
A Local Version of the MLEM2 Algorithm for Rule Induction
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
Journal of Intelligent Information Systems
Indiscernibility and similarity in an incomplete information table
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Positive approximation and converse approximation in interval-valued fuzzy rough sets
Information Sciences: an International Journal
Rule extraction based on granulation order in interval-valued fuzzy information system
Expert Systems with Applications: An International Journal
Diagnosis of cardiac arrhythmia using fuzzy immune approach
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
A comparison of some rough set approaches to mining symbolic data with missing attribute values
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Mining incomplete data: a rough set approach
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
An interval set model for learning rules from incomplete information table
International Journal of Approximate Reasoning
A rough set approach to data with missing attribute values
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Handling incomplete categorical data for supervised learning
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Missing template decomposition method and its implementation in rough set exploration system
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
CHASE2: rule based chase algorithm for information systems of type λ
AM'03 Proceedings of the Second international conference on Active Mining
A SVM regression based approach to filling in missing values
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Generalized approximations defined by non-equivalence relations
Information Sciences: an International Journal
The rough set exploration system
Transactions on Rough Sets III
Characteristic relations for incomplete data: a generalization of the indiscernibility relation
Transactions on Rough Sets IV
Motion-information-based video retrieval system using rough pre-classification
Transactions on Rough Sets V
Reduced attribute oriented inconsistency handling in decision generation
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Feature evaluation and selection with cooperative game theory
Pattern Recognition
LAD-CBM; new data processing tool for diagnosis and prognosis in condition-based maintenance
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Inductive learning models with missing values
Mathematical and Computer Modelling: An International Journal
A Two-Phase Model for Learning Rules from Incomplete Data
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Data-Driven valued tolerance relation
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Flexible Indiscernibility Relations for Missing Attribute Values
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
On Decomposition for Incomplete Data
Fundamenta Informaticae
Feature selection using dynamic weights for classification
Knowledge-Based Systems
Study on data preprocessing for daylight climate data
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Knowledge augmentation via incremental clustering: new technology for effective knowledge management
International Journal of Business Information Systems
WebPut: efficient web-based data imputation
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Heterogeneous features and model selection for event-based media classification
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Advances in Artificial Intelligence
A fast feature selection approach based on rough set boundary regions
Pattern Recognition Letters
Extended tolerance relation to define a new rough set model in incomplete information systems
Advances in Fuzzy Systems
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In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods to deal with missing attribute values. For testing both naive classification and new classification techniques of LERS (Learning from Examples based on Rough Sets) were used. The quality criterion was the average error rate achieved by ten-fold cross-validation. Using the Wilcoxon matched-pairs signed rank test, we conclude that the C4.5 approach and the method of ignoring examples with missing attribute values are the best methods among all nine approaches; the most common attribute-value method is the worst method among all nine approaches; while some methods do not differ from other methods significantly. The method of assigning to the missing attribute value all possible values of the attribute and the method of assigning to the missing attribute value all possible values of the attribute restricted to the same concept are excellent approaches based on our limited experimental results. However we do not have enough evidence to support the claim that these approaches are superior.