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» Transformations for semi-continuous data
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AAAI
2011
14 years 5 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
ICDE
2000
IEEE
112views Database» more  ICDE 2000»
16 years 7 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
ITRUST
2004
Springer
15 years 11 months ago
E-notebook Middleware for Accountability and Reputation Based Trust in Distributed Data Sharing Communities
This paper presents the design of a new middleware which provides support for trust and accountability in distributed data sharing communities. One application is in the context of...
Paul Ruth, Dongyan Xu, Bharat K. Bhargava, Fred Re...
SIGMOD
2009
ACM
139views Database» more  SIGMOD 2009»
16 years 6 months ago
Vispedia: on-demand data integration for interactive visualization and exploration
Wikipedia is an example of the large, collaborative, semi-structured data sets emerging on the Web. Typically, before these data sets can be used, they must transformed into struc...
Bryan Chan, Justin Talbot, Leslie Wu, Nathan Sakun...
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
16 years 3 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar