Dissertation > Excellent graduate degree dissertation topics show

Stocks Prediction and Research Based on Data Mining Technology

Author: DuBin
Tutor: SuYong
School: Jiangsu University of Science and Technology
Course: Applied Computer Technology
Keywords: Piecewise linear similarity search Segmentation slope Featurepoint
CLC: F830.91
Type: Master's thesis
Year: 2012
Downloads: 134
Quote: 0
Read: Download Dissertation

Abstract


Nowadays mentioned data mining technology, believe that everyone is not new, as ithas in getting in every aspect of our lives. In today’s society of the rapid development ofcomputer technology to our life with all kinds of facilities, and at the same time with ouroperations on data and research of the breadth and depth of the deepening, people have notonly meet the mass data the superficiality of the master, more want more more valuableinformation, and data mining technology is to help people solve this problem, that is, frommass data mining behind the information.Now for a time series data mining research has a lot of aspects, especially the similaritymining and pattern mining is more popular nowadays is paid more attention from domesticand international scholars. As the data mining a basic research, the similarity mining datamining to all aspects of the research has important significance. And in the comparabilitystudy an important issue facing is how to solve for time series data compression and said, inthis respect people also have a system of further research, and has also put forward a varietyof time series, the method for data said for processing. This paper with the stock of timeseries data for object based on feature points to the critical section of the slope comparisonmethod for linear data better division, this method extracting features from the originalsequence point to feature points as segmentation boundaries, and through comparing thecritical section slope fitting data. This method takes into consideration the time series datainternal general characteristics, and retains the section in time sequence of positioninformation, and methods for time series multiple deformation are not sensitive. For a lot ofnoise and the lack of high dimensional data exist multiple time series data, this paper putsforward a kind of based on the time series of the slope said similarity measure method, thismethod in the previous chapter for time series data in different sections of the linear, basedon piecewise line of slope similarity measure, concepts, the more clearly, And with datalinearization and similarity measure based on actual stock data analysis and prediction.

Related Dissertations

  1. Graph-based similarity search scientific literature key technology research,TP391.3
  2. Study on Similarity Analysis of Event Streams in Real-time Monitored Applications,TP311.13
  3. The Qualitative Analysis of a Class of Piecewise Linear System,O19
  4. Research and Implementation of P2P multimedia document search system,TP391.3
  5. Content-based video copy detection research,TP391.41
  6. Novel Technique for Grid Generation Based on Finite Difference Time Domain Method,O441.4
  7. Research and Application of Similarity-based Mining of Financial Data Analysis System,TP311.13
  8. Research on Stability Analysis and Synthesis of Several Hybrid Systems Based on LMI,N941.4
  9. Research and Implementation of Multidimensional Time-Series Data Mining Methods,TP311.13
  10. Research on the Peak-to-Average Power Ration Reduction and Adaptive Predistrotion in OFDM System,TN919.72
  11. Research and Application of Hydrological Time Series Similarity Pattern,TP311.13
  12. Research on Time Series Data Mining and Application to Short-Term Load Forecasting,TP311.13
  13. Study on Distributed Online Temperature Monitoring System of HV Devices,TP274.4
  14. Electrode Regulator System Control Method,TM924.4
  15. The Research on the Control of BrushLess Direct Current Motor Based on Back-EMF,TM33
  16. H_ ∞ controller design of the staging system and staging delay systems,O231
  17. A Study on Data Mining and Its Application in Process Optimization,TP311.13
  18. Time Series Data Processing and Application System’s Developing,TP311.52
  19. Research of Time Series Data Mining and Forecasting,TP311.13
  20. Control Synthesis of Piecewise Linear Systems,TP13
  21. Chaos and information hiding Related Technologies,TP309.7

CLC: > Economic > Fiscal, monetary > Finance, banking > Finance, banking theory > Financial market > Securities market
© 2012 www.DissertationTopic.Net  Mobile