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» Massive Data Pre-Processing with a Cluster Based Approach
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131
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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 8 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
109
Voted
EDBT
2009
ACM
113views Database» more  EDBT 2009»
15 years 8 months ago
Type-based categorization of relational attributes
In this work we concentrate on categorization of relational attributes based on their data type. Assuming that attribute type/characteristics are unknown or unidentifiable, we an...
Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seid...
EDBT
2010
ACM
170views Database» more  EDBT 2010»
15 years 5 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
117
Voted
CIKM
2005
Springer
15 years 7 months ago
Versatile structural disambiguation for semantic-aware applications
In this paper, we propose a versatile disambiguation approach which can be used to make explicit the meaning of structure based information such as XML schemas, XML document struc...
Federica Mandreoli, Riccardo Martoglia, Enrico Ron...
CVPR
2010
IEEE
15 years 11 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain