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Clustering has been widely used in many data mining applications. It reports aggregations and concentrations in large databases. There has been a lot of research in clustering, but relatively less attention has been paid to what contributed to those clusters. This paper overviews reasoning techniques for clusters, and reviews qualitative cluster reasoning framework.
Clustering is a core technique in many disciplines that assigns objects into similar groups. It provides answers for where, when and what objects are aggregated. As clustering becomes more important and popular, post-clustering activities that attempt to answer why they (what objects) are there (spatial) and/or then (temporal) need a great attention. This paper suggests a qualitative cluster reasoning...
Privacy and data explosion issues are major concerns in intelligence and security informatics. An areal data representation is a popular way to overcome these two issues. As data grows at an unprecedented rate, there still needs an improvement in area data representations to be more scalable. This paper determines the potential for an alternative areal representation that can offer performance benefits...
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