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APVIS
2010
15 years 2 months ago
Interactive local clustering operations for high dimensional data in parallel coordinates
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
Peihong Guo, He Xiao, Zuchao Wang, Xiaoru Yuan
103
Voted
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 5 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
143
Voted
IJWET
2008
98views more  IJWET 2008»
15 years 4 months ago
Warehousing complex data from the web
: Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data...
Omar Boussaid, Jérôme Darmont, Fadila...
IRAL
2003
ACM
15 years 9 months ago
Korean named entity recognition using HMM and CoTraining model
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
Euisok Chung, Yi-Gyu Hwang, Myung-Gil Jang