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127
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CEC
2009
IEEE
15 years 10 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
136
Voted
TIME
2008
IEEE
15 years 10 months ago
Time Aware Mining of Itemsets
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Bashar Saleh, Florent Masseglia
ITCC
2005
IEEE
15 years 9 months ago
A Scalable and High Performance Elliptic Curve Processor with Resistance to Timing Attacks
This paper presents a high performance and scalable elliptic curve processor which is designed to be resistant against timing attacks. The point multiplication algorithm (double-a...
Alireza Hodjat, David Hwang, Ingrid Verbauwhede
132
Voted
IV
2010
IEEE
150views Visualization» more  IV 2010»
15 years 2 months ago
A 3D Visualization Technique for Large Scale Time-Varying Data
We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, i...
Maiko Imoto, Takayuki Itoh
154
Voted
ECRTS
2009
IEEE
15 years 1 months ago
Using Randomized Caches in Probabilistic Real-Time Systems
While hardware caches are generally effective at improving application performance, they greatly complicate performance prediction. Slight changes in memory layout or data access p...
Eduardo Quiñones, Emery D. Berger, Guillem ...