Learning Boolean concepts in the presence of many irrelevant features
Artificial Intelligence
Fundamentals of algorithmics
Uncertainly measures of rough set prediction
Artificial Intelligence
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rules in incomplete information systems
Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Feature Selection via Set Cover
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Consistency-based search in feature selection
Artificial Intelligence
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Information Sciences: an International Journal
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
Rule learning for classification based on neighborhood covering reduction
Information Sciences: an International Journal
Combination entropy and combination granulation in incomplete information system
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Multi knowledge based rough approximations and applications
Knowledge-Based Systems
A rough set approach for estimating correlation measures in quality function deployment
Information Sciences: an International Journal
A new weighted rough set framework based classification for Egyptian NeoNatal Jaundice
Applied Soft Computing
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Rough-Set-based timing characteristic analyses of distance protective relay
Applied Soft Computing
Tolerance Approximation Spaces
Fundamenta Informaticae
Decision rule mining using classification consistency rate
Knowledge-Based Systems
Entropy measures and granularity measures for set-valued information systems
Information Sciences: an International Journal
Rough set approach to incomplete numerical data
Information Sciences: an International Journal
Knowledge reduction for decision tables with attribute value taxonomies
Knowledge-Based Systems
Mixed feature selection in incomplete decision table
Knowledge-Based Systems
Nullity-based matroid of rough sets and its application to attribute reduction
Information Sciences: an International Journal
| Hi-index | 0.00 |
Shannon's entropy and its variants have been applied to measure uncertainty in rough set theory from the viewpoint of information theory. However, few studies have been done on attribute selection in incomplete decision systems based on information-theoretical measurement of attribute importance. In this paper, we introduce a new form of conditional entropy to measure the importance of attributes in incomplete decision systems. Based on the introduced conditional entropy, we construct three attribute selection approaches, including an exhaustive search strategy approach, a greedy (heuristic) search strategy approach and a probabilistic search approach for incomplete decision systems. To test the effectiveness of these methods, experiments on several real-life incomplete data sets are conducted. The results indicate that two of these methods are effective for attribute selection in incomplete decision system.