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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 10 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
SIGIR
2008
ACM
15 years 6 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 8 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
VTC
2008
IEEE
162views Communications» more  VTC 2008»
16 years 1 months ago
A Selective Cluster Index Scheduling Method in OFDMA
—OFDM is an attractive solution for the design of future wireless communications due to its robustness to dispersion in multipath environments. Additional diversity gains can be ...
Marios Nicolaou, Angela Doufexi, Simon Armour
WCRE
2008
IEEE
16 years 1 months ago
PREREQIR: Recovering Pre-Requirements via Cluster Analysis
High-level software artifacts, such as requirements, domain-specific requirements, and so on, are an important source of information that is often neglected during the reverse- an...
Jane Huffman Hayes, Giuliano Antoniol, Yann-Ga&eum...