Building a Trend Based Segmentation Method with SVR Model for Stock Turning Detection
 P.C. Chang, C.Y. Tsai, C.H. Huang, and C.Y. Fan, "Application of a case
base reasoning based support vector machine for financial time series
data forecasting," in International Conference on Intelligent Computing,
South Korea, 2009, pp. 294-304.
 P.C. Chang, C.Y. Fan, and C.H. Liu, "Integrating a piecewise linear
representation method and a neural network model for stock trading
points prediction,´ IEEE Transactions on Systems, Man, and Cybernetics,
Part C: Applications and Reviews, vol. 39, 2009, pp. 80-92.
 X.P. Ge, "Pattern Matching in Financial Time Series Data, "Computer
Communications, 27, 1998, pp. 935-945.
 E. Keogh and M. Pazzani, "An enhanced representation of time series
which allows fast and accurate classification," clustering and relevance
feedback. In: KDD, 2009, pp. 239-243.
 V. Lavrenko, M. Schmill, D. Lawrie, P.Ogilvie, D. Jensen, and J. Allan,
"Mining of concurrent text and time series, " In: Proceedings of the 6th
International Conference on Knowledge Discovery and Data Mining,
2000, pp. 37-44.
 Alex J. Smola and Bernhard Schölkopf, "A tutorial on support vector
regression. Statistics and Computing," vol. 14, 2004, PP. 199-222.
 Depei Baoi and Zehong Yang, "Intelligent stock trading system by
turning point confirming and probabilistic reasoning," Expert System
with Applications, vol. 34, 2008, pp. 620-627.
 Allan Timmermann and Clive W. J. Granger, "Efficient market
hypothesis and forecasting," International Journal of Forecasting, vol. 20,
2004, pp. 15-27.
 Y.W. Wang, P.C. Chang, C.Y. Fan, and C.H. Huang, "Database
classification by integrating a case-based reasoning and support vector
machine for induction,´ Journal of Circuits, Systems, and Computers,
vol. 19, no. 1, 2010, pp. 31-44.
 Li Zhang, W. D. Zhou, and P.C. Chang, "Generalized nonlinear
discriminant analysis and its small sample size problems,"
Neurocomputing, vol. 74, no.4, 2011, pp. 568-574.
 V. Vapnik, "The nature of statistical learning theory, " Springer, 1995.
 Nicholas I. Sapankevych and Ravi Sankar, " Time series prediction using
support vector machines: a survey," IEEE Computational Intelligence
Magazine, vol. 4, 2009, pp. 24-38.
 J.L. Wu, L.C. Yu, and P.C. Chang, Emotion classification by removal of
the overlap from incremental association language features, "Journal of
the Chinese Institute of Engineers 34(7), pp. 947-955, October, 2011.
 Y. Zhu, D. Wu, S. Li, " A piecewise linear representation method of time
series based on feature pints," The proceeding of KES 2007/ WIRN 2007,
Part II, Vietri sul Mare, Italy, pp. 1066- 1072, January , 2007.
 Huanmei Wu, Betty Salzberg, and Donghui Zhang, " Online event-driven
subsequence matching over financial data streams," The proceedings of
the 2004 ACM SIGMOD, 2004, pp.23-34.
 Z. Zhang and J. Siekmann "Pattern Recognition in Stock Data Based on
a New Segmentation Algorithm, "Springer, 4798, 2007, pp. 520-525.
 J. Lachaud, A. Vialard, F. de Vieilleville, "Analysis and comparative
evaluation of discrete tangent estimators,´ In: Andres, E., Damiand, G.,
Lienhardt, P. (eds) DGCI 2005. LNCS, Springer, vol. 3429, 2005, pp.
 Thomas J. Burkholder and Richard L. Lieber, "Stepwise regression is an
alternative to splines for fitting noisy data,´ Journal of Biomechanics, vol.
29, no. 2, 1996, pp.235-238.