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» Detecting Inconsistencies in Distributed Data
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 7 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
OSDI
2004
ACM
14 years 9 months ago
Energy-Efficiency and Storage Flexibility in the Blue File System
A fundamental vision driving pervasive computing research is access to personal and shared data anywhere at anytime. In many ways, this vision is close to being realized. Wireless...
Edmund B. Nightingale, Jason Flinn
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 20 days ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
GPC
2009
Springer
13 years 6 months ago
Integrity Assurance Technique Using Determinant Approach
Data integrity is an important aspect of storage security and reliability which are prerequisite for most computer systems and network applications. This paper proposes a new tech...
Jasim A. Ghaeb