Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
Complex data mapping tasks often arise in software engineering, particularly in code generation and model transformation. We describe Marama Torua, a tool supporting high-level sp...
Jun Huh, John C. Grundy, John G. Hosking, Karen Na...
Background: Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledg...
Abstract. In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data,. . . )....
: Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data...
: In a data warehousing process, the phase of data integration is crucial. Many methods for data integration have been published in the literature. However, with the development of...
Today’s users want to access their data everywhere and any time – in various environments and occasions. The data itself can be very complex – the problem is then in providi...
Vladislav Nemec, Pavel Zikovsky, Pavel Slaví...
In many practical problems, we must combine ("fuse") data represented in different formats, e.g., statistical, fuzzy, etc. The simpler the data, the easier to combine th...
Mourad Oussalah, Hung T. Nguyen, Vladik Kreinovich
Peer-to-peer networks are becoming a common form of online data exchange. Querying data, mostly files, using keywords on peer-to-peer networks is well-known. But users cannot perf...
: With the ever-growing availability of so-called complex data, especially on the Web, decision-support systems such as data warehouses must store and process data that are not onl...