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HICSS
2010
IEEE
258views Biometrics» more  HICSS 2010»
13 years 6 months ago
An Empirical Comparison of Four Text Mining Methods
The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various...
Sangno Lee, Jeff Baker, Jaeki Song, James C. Wethe...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 6 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
ADMA
2006
Springer
139views Data Mining» more  ADMA 2006»
14 years 2 days ago
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our foc...
Chong Huang, YongHong Tian, Tiejun Huang, Wen Gao
SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
13 years 7 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki
DAWAK
2005
Springer
13 years 11 months ago
Efficient Compression of Text Attributes of Data Warehouse Dimensions
This paper proposes the compression of data in Relational Database Management Systems (RDBMS) using existing text compression algorithms. Although the technique proposed is general...
Jorge Vieira, Jorge Bernardino, Henrique Madeira