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» Clustering-Based K-Anonymisation Algorithms
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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
15 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
15 years 3 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
MOBICOM
2004
ACM
15 years 3 months ago
Initializing newly deployed ad hoc and sensor networks
A newly deployed multi-hop radio network is unstructured and lacks a reliable and efficient communication scheme. In this paper, we take a step towards analyzing the problems exis...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
89
Voted
EWSN
2008
Springer
15 years 9 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
74
Voted
CIKM
2005
Springer
15 years 3 months ago
Minimal document set retrieval
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
Wei Dai, Rohini K. Srihari