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» Techniques of Cluster Algorithms in Data Mining
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JNW
2007
132views more  JNW 2007»
15 years 6 months ago
Genetic Algorithm for Hierarchical Wireless Sensor Networks
— Large scale wireless sensor networks (WSNs) can be used for various pervasive and ubiquitous applications such as security, health-care, industry automation, agriculture, envir...
Sajid Hussain, Abdul Wasey Matin, Obidul Islam
PAKDD
2009
ACM
127views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Clustering Documents Using a Wikipedia-Based Concept Representation
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
KYOTODL
2000
140views more  KYOTODL 2000»
15 years 7 months ago
Text Data Mining: Discovery of Important Keywords in the Cyberspace
This paper describes applications of the optimized pattern discover),framework to text and Webmining. In particular; we introduce a class of simple combinatorialpatterns over phra...
Hiroki Arimura, Jun-ichiro Abe, Hiroshi Sakamoto, ...
CIKM
2010
Springer
15 years 5 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
15 years 6 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama