Towards stock market data mining using enriched random forests from textual resources and technical indicators

IFIP Advances in Information and Communication Technology

Volumn 339 AICT, Issue , 2010, Pages 278-286

  Maragoudakis, Manolis ^a,b   Serpanos, Dimitrios ^b,c  

^a UNIVERSITY OF THE AEGEAN   (Greece)

^b INDUSTRIAL SYSTEMS INSTITUTE   (Greece)

^c UNIVERSITY OF PATRAS   (Greece)

Author keywords

Data mining; Expert systems; Markov blanket; Random forests; Stock return forecasting; Trading strategies

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; DECISION TREES; EXPERT SYSTEMS; FINANCIAL MARKETS; FORECASTING; INVESTMENTS; LEARNING SYSTEMS; REGRESSION ANALYSIS;

BUY-AND-HOLD STRATEGY; LINEAR REGRESSION MODELS; MARKOV BLANKETS; RANDOM FORESTS; STOCK MARKET PREDICTION; STOCK RETURN FORECASTING; TECHNICAL INDICATOR; TRADING STRATEGIES;

DATA MINING;

EID: 78549250702     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-16239-8_37     Document Type: Conference Paper

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