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Combining rules between PIPs and SAX to identify patterns in financial markets.

, , and . Expert Syst. Appl., (2016)

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Solving an Uncapacitated Exam Timetabling Problem Instance using a Hybrid NSGA-II., , , , and . IJCCI, page 106-115. SciTePress, (2012)Using sentiment from Twitter optimized by Genetic Algorithms to predict the stock market., , and . CEC, page 1303-1310. IEEE, (2017)Solving a Capacitated Exam Timetabling Problem Instance Using a Bi-objective NSGA-II., , , , and . IJCCI (Selected Papers), volume 577 of Studies in Computational Intelligence, page 115-129. Springer, (2012)Applying a GA kernel on optimizing technical analysis rules for stock picking and portfolio composition., , and . Expert Syst. Appl., 38 (11): 14072-14085 (2011)Fitness function evaluation for MA trading strategies based on genetic algorithms., , and . GECCO (Companion), page 819-820. ACM, (2011)Trading in financial markets using pattern recognition optimized by genetic algorithms., , and . GECCO (Companion), page 2105-2106. ACM, (2010)Vulnerability Discovery with Attack Injection., , , , and . IEEE Trans. Software Eng., 36 (3): 357-370 (2010)Trading with optimized uptrend and downtrend pattern templates using a genetic algorithm kernel., , and . IEEE Congress on Evolutionary Computation, page 1895-1901. IEEE, (2011)Portfolio optimization using fundamental indicators based on multi-objective EA., , and . CIFEr, page 158-165. IEEE, (2014)Combining rules between PIPs and SAX to identify patterns in financial markets., , and . Expert Syst. Appl., (2016)