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JDCTA
2010
464views more  JDCTA 2010»
13 years 2 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
ADMA
2007
Springer
272views Data Mining» more  ADMA 2007»
14 years 1 months ago
E-Stream: Evolution-Based Technique for Stream Clustering
Komkrit Udommanetanakit, Thanawin Rakthanmanon, Ki...
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
JCDL
2003
ACM
95views Education» more  JCDL 2003»
14 years 26 days ago
Event-Based Retrieval from a Digital Library Containing Medical Streams
We describe a digital library that contains streams and supports event-based retrieval. Streams used in the digital library are CT scan, medical text, and audio streams. Events, s...
Mohamed Kholief, Kurt Maly, Stewart N. T. Shen
ISMIS
2009
Springer
14 years 2 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...