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» Data Compression Techniques for Stock Market Prediction
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PAKDD
2001
ACM
121views Data Mining» more  PAKDD 2001»
15 years 2 months ago
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
Pedro de Almeida
EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
Soft computing in investment appraisal
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
Antoaneta Serguieva, John Hunter, Tatiana Kalganov...
ISCI
2006
145views more  ISCI 2006»
14 years 10 months ago
Processing count queries over event streams at multiple time granularities
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Aykut Ünal, Yücel Saygin, Özgü...
ECML
2007
Springer
15 years 4 months ago
Weighted Kernel Regression for Predicting Changing Dependencies
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
Steven Busuttil, Yuri Kalnishkan
CEC
2007
IEEE
15 years 4 months ago
Repository method to suit different investment strategies
— This work is motivated by the interest in finding significant movements in financial stock prices. The detection of such movements is important because these could represent...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang