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Chapter and Conference Paper
Bulkloading Updates for Moving Objects
Supporting frequent updates is a key challenge in moving object indexing. Most of the existing work regards the update as an individual process for each object, and a large number of separate updates are issue...
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Chapter and Conference Paper
Dynamic Incremental Data Summarization for Hierarchical Clustering
In many real world applications, with the databases frequent insertions and deletions, the ability of a data mining technique to detect and react quickly to dynamic changes in the data distribution and cluster...
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Chapter and Conference Paper
Tight Bounds on the Estimation Distance Using Wavelet
Time series similarity search is of growing importance in many applications. Wavelet transforms are used as a dimensionality reduction technique to permit efficient similarity search over high-dimensional time...
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Chapter and Conference Paper
An Effective Approach for Hiding Sensitive Knowledge in Data Publishing
Recent efforts have been made to address the problem of privacy preservation in data publishing. However, they mainly focus on preserving data privacy. In this paper, we address another aspect of privacy prese...
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Chapter and Conference Paper
Extract Frequent Pattern from Simple Graph Data
Mining the frequent pattern from data set is one of the key success stories of data mining research. Currently, most of the efforts are focused on the independent data such as the items in the marketing basket...