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» Cluster Analysis of High-Dimensional Data: A Case Study
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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 8 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
EURONGI
2006
Springer
13 years 11 months ago
Performance Analysis of Wireless Multihop Data Networks
We consider wireless multihop data networks with random multi-access mechanisms at the MAC layer. In general, our aim is to study the performance as perceived by users in a dynamic...
Nidhi Hegde, Alexandre Proutiére
PRDC
1999
IEEE
14 years 2 days ago
Networked Windows NT System Field Failure Data Analysis
This paper presents a measurement-based dependability study of a Networked Windows NT system based on field data collected from NT System Logs from 503 servers running in a produc...
Jun Xu, Zbigniew Kalbarczyk, Ravishankar K. Iyer
BMCBI
2007
135views more  BMCBI 2007»
13 years 8 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-...