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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
16 years 20 days ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
16 years 6 days ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
ACMICEC
2007
ACM
144views ECommerce» more  ACMICEC 2007»
15 years 10 months ago
Needs-based analysis of online customer reviews
Needs-based analysis lies at the intersection of product marketing and new product development. It is the study of why consumers purchase and what they do with those purchases. In...
Thomas Y. Lee
LREC
2010
150views Education» more  LREC 2010»
15 years 8 months ago
Detection of Peculiar Examples using LOF and One Class SVM
This paper proposes the method to detect peculiar examples of the target word from a corpus. The peculiar example is regarded as an outlier in the given example set. Therefore we ...
Hiroyuki Shinnou, Minoru Sasaki
ICDM
2010
IEEE
109views Data Mining» more  ICDM 2010»
15 years 4 months ago
Term Filtering with Bounded Error
Abstract--In this paper, we consider a novel problem referred to as term filtering with bounded error to reduce the term (feature) space by eliminating terms without (or with bound...
Zi Yang, Wei Li, Jie Tang, Juanzi Li