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BMCBI
2007
135views more  BMCBI 2007»
14 years 10 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
LWA
2008
14 years 11 months ago
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
Felix Jungermann, Katharina Morik
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
15 years 10 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
HASE
2008
IEEE
15 years 4 months ago
Privacy, Preservation and Performance: The 3 P's of Distributed Data Management
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
Bobji Mungamuru, Hector Garcia-Molina
DNIS
2010
Springer
184views Database» more  DNIS 2010»
15 years 4 months ago
A Study on Workload Imbalance Issues in Data Intensive Distributed Computing
In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
Sven Groot, Kazuo Goda, Masaru Kitsuregawa