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» Cost-Sensitive Analysis in Multiple Time Series Prediction
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SODA
2008
ACM
144views Algorithms» more  SODA 2008»
13 years 9 months ago
Fast dimension reduction using Rademacher series on dual BCH codes
The Fast Johnson-Lindenstrauss Transform (FJLT) was recently discovered by Ailon and Chazelle as a novel technique for performing fast dimension reduction with small distortion fr...
Nir Ailon, Edo Liberty
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
14 years 1 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...
NCA
2002
IEEE
13 years 7 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
LCN
2005
IEEE
14 years 1 months ago
Effective Channel Time Analysis for Mobile Broadband Wireless Networks
— We describe an algorithm to estimate the future cell throughput of a multi-rate broadband wireless network based on previous measurements. The total throughput of a cell depend...
Dennis Pong, Tim Moors
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 10 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong