Sciweavers

1061 search results - page 16 / 213
» Massive Data Pre-Processing with a Cluster Based Approach
Sort
View
IJVR
2007
85views more  IJVR 2007»
13 years 7 months ago
Detection of Landmarks for Clustering of Online-Game Players
—Understanding of player behaviors is an important issue to keep online games interesting to their players. Focusing on player movement, in our previous work, we proposed a metho...
Ruck Thawonmas, Masayoshi Kurashige, Kuan-Ta Chen
CIKM
2008
Springer
13 years 9 months ago
A consensus based approach to constrained clustering of software requirements
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
FUIN
2011
358views Cryptology» more  FUIN 2011»
12 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...
FSS
2002
99views more  FSS 2002»
13 years 7 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
14 years 2 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken