Fuzzy Sets and Systems
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GeoMiner: a system prototype for spatial data mining
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Mining fuzzy association rules in databases
ACM SIGMOD Record
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Data Mining in Large Databases Using Domain Generalization Graphs
Journal of Intelligent Information Systems
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
Spatial databases with application to GIS
Spatial databases with application to GIS
Knowledge Discovery and Measures of Interest
Knowledge Discovery and Measures of Interest
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Data Mining and Knowledge Discovery
Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases
IEEE Transactions on Knowledge and Data Engineering
SAINTETIQ: a fuzzy set-based approach to database summarization
Fuzzy Sets and Systems - Data bases and approximate reasoning
Interesting Fuzzy Association Rules in Quantitative Databases
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Discovery of Spatial Association Rules in Geographic Information Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Fuzzy Quantitative Association Rules
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Mining Weighted Association Rules for Fuzzy Quantitative Items
Mining Weighted Association Rules for Fuzzy Quantitative Items
High Performance Discovery In Time Series: Techniques And Case Studies (Monographs in Computer Science)
A New Conceptual Clustering Framework
Machine Learning
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
A First Course in Fuzzy Logic, Third Edition
A First Course in Fuzzy Logic, Third Edition
Spatial data methods and vague regions: A rough set approach
Applied Soft Computing
International Journal of Intelligent Systems
Database querying with personalized vocabulary using data summaries
Fuzzy Sets and Systems
Data Warehouse Design: Modern Principles and Methodologies
Data Warehouse Design: Modern Principles and Methodologies
Fuzzy Sets and Systems
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
International Journal of Intelligent Systems
Fundamentals of Database Systems
Fundamentals of Database Systems
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Data Mining: Concepts, Models, Methods, and Algorithms
Data Mining: Concepts, Models, Methods, and Algorithms
IEEE Transactions on Fuzzy Systems
Spatial big-data challenges intersecting mobility and cloud computing
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
On Intuitionistic Fuzzy Sets Theory
On Intuitionistic Fuzzy Sets Theory
Spatiotemporal data mining in the era of big spatial data: algorithms and applications
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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The availability of a vast amount of heterogeneous information from a variety of sources ranging from satellite imagery to the Internet has been termed as the problem of Big Data. Currently there is a great emphasis on the huge amount of geophysical data that has a spatial basis or spatial aspects. To effectively utilize such volumes of data, data mining techniques are needed to manage discovery from such volumes of data. An important consideration for this sort of data mining is to extend techniques to manage the inherent uncertainty involved in such spatial data. In this paper the authors first provide overviews of uncertainty representations based on fuzzy, intuitionistic, and rough sets theory and data mining techniques. To illustrate the issues they focus on the application of the discovery of association rules in approaches for vague spatial data. The extensions of association rule extraction for uncertain data as represented by rough and fuzzy sets are described. Finally an example of rule extraction for both fuzzy and rough set types of uncertainty representations is given