CEE
2011
12 years 8 months ago
2011
Performance of ad hoc networks dramatically declines as network grows. Cluster formation in which the network hosts are hierarchically part...
BMCBI
2011
12 years 8 months ago
2011
Background: In 2004, we presented a web resource for stimulating the search for novel RNAs, RNA-As-Graphs (RAG), which classified, catalogued, and predicted RNA secondary structur...
AINA
2010
IEEE
12 years 8 months ago
2010
IEEE
— Intrusion detection System forms a vital component of internet security. To keep pace with the growing trends, there is a critical need to replace single layer detection techno...
JDCTA
2010
12 years 11 months ago
2010
High-dimensional mixed-attribute data clustering has become an important research direction in data mining area. Because of the advantages of the information technology, data coll...
ICASSP
2010
IEEE
13 years 1 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
SOCA
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--Workflow design, mashup configuration, and composite service formation are examples where the capabilities of multiple simple services combined achieve a complex function...
ICML
2010
IEEE
13 years 2 months ago
2010
IEEE
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
JCB
2002
13 years 4 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
JUCS
2007
13 years 4 months ago
2007
: Clustering provides an effective mechanism for energy-efficient data delivery in wireless sensor networks. To reduce communication cost, most clustering algorithms rely on a sens...
JCM
2007
13 years 4 months ago
2007
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...