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IBPRIA
2003
Springer
15 years 11 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
RSCTC
2000
Springer
140views Fuzzy Logic» more  RSCTC 2000»
15 years 9 months ago
Temporal Templates and Analysis of Time Related Data
In the paper we investigate the problem of analysis of time related information systems. We introduce notion of temporal templates, i.e. homogeneous patterns occurring in some peri...
Piotr Synak
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
15 years 8 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang
LREC
2008
153views Education» more  LREC 2008»
15 years 7 months ago
Named Entity Relation Mining using Wikipedia
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
Adrian Iftene, Alexandra Balahur-Dobrescu
COLING
2010
15 years 1 months ago
Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis
In this paper, we propose an unsupervised approach for identifying bipolar person names in a set of topic documents. We employ principal component analysis (PCA) to discover bipol...
Chien Chin Chen, Chen-Yuan Wu