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CIKM
2004
Springer
16 years 17 days ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
16 years 17 days ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
ICML
2002
IEEE
16 years 8 months ago
Kernels for Semi-Structured Data
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
Hisashi Kashima, Teruo Koyanagi
SSDBM
2003
IEEE
118views Database» more  SSDBM 2003»
16 years 13 days ago
A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience
Current data management approaches can easily handle the relatively simple requirements for molecular biology research but not the more varied and sophisticated microscopy imaging...
Shenglan Zhang, Xufei Qian, Amarnath Gupta, Maryan...
IJIT
2004
15 years 8 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi