Searching for "Mining Complex Data" – sorted by Relevance.
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M.: Hierarchical Density-Based Clustering for Multi-Represented Objects
- ,kriegel,pryakhin,schubert}@(email omitted); Abstract In recent years, the complexity of data objects in data mining applications has increased as well
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What is Data Mining?
- contributes to interactive mining of multiple abstraction spaces of data cubes. 4 Mining complex data
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1 What is Data Mining?
- Mining complex data in large data and information repositories Data mining is not con ned to relational
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An XML Specification Language to Support a Virtual Marketplace of Data Mining Services
- complex interactions. In the context of a virtual marketplace of data mining e-services, this leads
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Online Mining of Frequent Query Trees over XML Data Streams
- . However, less work on the field of mining complex data streams, such as XML data streams. In such a XML
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Prima: A case study of using information visualization techniques for patient record analysis
- , information visualization, bioinformatics, medical records 1 Introduction Mining the complex data collections
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Data Mining: A Database Perspective.
- mining of complex data types. Finally, after rules are discovered, we can use ad-hoc and OLAP queries
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User-Centric Mining of Association Rules
- ) in [4]. 3.3 Data Structure and Files To implement the functionality for window based mining, complex
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Data Mining on Parallel Database Systems
- , or it can be the dataware itself. Extensibility to mine complex data types. This characteristic is becoming
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Executive summary............................................................................................................................... 2
- threads that benefit from the parallelism capabilities of the processor • Data mining of complex data sets
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