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» Surrogate data: A novel approach to object detection
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ISBI
2004
IEEE
15 years 10 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...
KAIS
2007
112views more  KAIS 2007»
14 years 9 months ago
The pairwise attribute noise detection algorithm
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Hu...
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 6 days ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
ACL
2009
14 years 7 months ago
An Integrated Multi-document Summarization Approach based on Word Hierarchical Representation
This paper introduces a novel hierarchical summarization approach for automatic multidocument summarization. By creating a hierarchical representation of the words in the input do...
Ouyang You, Wenjie Li, Qin Lu
ICOODB
2010
117views Database» more  ICOODB 2010»
14 years 8 months ago
iBLOB: Complex Object Management in Databases through Intelligent Binary Large Objects
Abstract. New emerging applications including genomic, multimedia, and geospatial technologies have necessitated the handling of complex application objects that are highly structu...
Tao Chen, Arif Khan, Markus Schneider, Ganesh Visw...