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ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
13 years 5 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan
ACSW
2004
13 years 9 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
KDD
1999
ACM
147views Data Mining» more  KDD 1999»
13 years 12 months ago
Text Mining: Finding Nuggets in Mountains of Textual Data
Text mining appliesthe sameanalytical functions of datamining to the domainof textual information, relying on sophisticatedtext analysis techniques that distill information from f...
Jochen Dörre, Peter Gerstl, Roland Seiffert
GFKL
2006
Springer
77views Data Mining» more  GFKL 2006»
13 years 11 months ago
Text Clustering with String Kernels in R
Alexandros Karatzoglou, Ingo Feinerer
SPIESR
2003
136views Database» more  SPIESR 2003»
13 years 9 months ago
Media segmentation using self-similarity decomposition
We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
Jonathan Foote, Matthew L. Cooper