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  • featureSelection.zip
       Feature selection in python

    本附件包括：
    • featureSelection.py
  • 1.27 KB
  • 2019-6-18

  • 论文.rar

    本附件包括：
    • Combining multiple feature selection methods for stock prediction_ Union, intersection, and multi-intersection approaches.pdf
    • CAST Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator.pdf
    • CAST- Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator.docx
    • Correlating Financial Time Series with Micro-Blogging Activity.pdf
    • Deep learning for event-driven stock prediction..pdf
    • Deep Learning for Event-Driven Stock Prediction.docx
    • Deep Learning Networks for Stock Market Analysis and Prediction_ Methodology, Data Representations, and Case Studies.pdf
    • Design and Application of Artificial Neural Networks for Predicting the Values of Indexes on the Bulgarian Stock Market.pdf
    • Do Funds Make More When They Trade More.pdf
    • Financial Time Series Segmentation Based On Turning Points.pdf
    • High Frequency Trading and Extreme Price Movements_.pdf
    • High-frequency trading strategies.pdf
    • how to design targetdate funds.pdf
    • Improving Financial Time Series Prediction Using Exogenous Series and Neural Networks Committees.pdf
    • Measuring Skill in the Mutual Fund Industry.pdf
    • Risk and Return in High-Frequency Trading .pdf
    • A Bayesian regularized artificial neural network for stock market forcasting.pdf
    • A fuzzy rule based expert system for stock evaluation and portfolio construction_ An application to Istanbul Stock Exchange .pdf
    • A method for automatic stock trading combining technical analysis and nearest neighbor classification.pdf
    • A novel text mining approach to financial time series forecasting.pdf
    • A prediction scheme using perceptually important points and dynamic time warping.pdf
    • An Autonomous Trader Agent for the Stock Market Based on Online Sequential Extreme Learning Machine Ensemble.docx
    • An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble.pdf
    • An empirical methodology for developing stockmarket trading systems using arti cial neural networks.pdf
    • An intraday market risk management approach based on textual analysis.pdf
    • Application of support vector machines in financial time 1899 series forcasting.pdf
    • Automatic High-Frequency Trading_ An Application to Emerging Chilean Stock Market.pdf
    • Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm.pdf
    • Automatie Method for Stoek Trading Combining Teehnieal Analysis and the Artifieial Bee Colony Algorithm.docx
  • 17.22 MB
  • 2019-1-26

  • SpringerBriefs in Statistics.rar

    本附件包括：
    • (SpringerBriefs in Statistics) An Introduction to Bartlett Correction and Bias Reduction-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Applied Matrix and Tensor Variate Data Analysis-Springer Japan (2016).pdf
    • (SpringerBriefs in statistics) Applied multidimensional scaling-Springer (2013).pdf
    • (SpringerBriefs in Statistics) Bayesians Versus Frequentists_ A Philosophical Debate on Statistical Reasoning-Springer-Verlag Berlin Heidelberg (2016).pdf
    • (SpringerBriefs in Statistics) Brief Guidelines for Methods and Statistics in Medical Research-Springer Singapore (2015).pdf
    • (SpringerBriefs in Statistics) Convolution Copula Econometrics-Springer International Publishing (2016).pdf
    • (SpringerBriefs in Statistics) Formulas Useful for Linear Regression Analysis and Related Matrix Theory_ It's Only Formulas But We Like Them-S.pdf
    • (SpringerBriefs in Statistics) Generalized Hyperbolic Secant Distributions_ With Applications to Finance-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Generalized Weibull Distributions-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Group-Sequential Clinical Trials with Multiple Co-Objectives-Springer Japan (2016).pdf
    • (SpringerBriefs in Statistics) Handling Missing Data in Ranked Set Sampling(2013).pdf
    • (SpringerBriefs in Statistics) Interactive LISREL in Practice_ Getting Started with a SIMPLIS Approach-Springer-Verlag Berlin Heidelberg (2011).pdf
    • (SpringerBriefs in Statistics) Introduction to Data Analysis and Graphical Presentation in Biostatistics with R_ Statistics in the Large-Springer International Publishing.pdf
    • (SpringerBriefs in statistics) L1-norm and L[infinity symbol]-norm estimation _ an introduction to the least absolute residuals, the minimax absolute residual and related fitting pro.pdf
    • (SpringerBriefs in Statistics) Lévy Processes and Their Applications in Reliability and Storage-Springer (2013).pdf
    • (SpringerBriefs in Statistics) Long-Range Dependence and Sea Level Forecasting-Springer International Publishing (2013).pdf
    • (SpringerBriefs in Statistics) Model Choice in Nonnested Families(2016).pdf
    • (SpringerBriefs in Statistics) Modern Methodology and Applications in Spatial-Temporal Modeling-Springer (2016).pdf
    • (SpringerBriefs in Statistics) Multivariate Statistical Quality Control Using R-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Optimal Experimental Design for Non-Linear Models_ Theory and Applications-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Optimal Stochastic Control Schemes within a Structural Reliability Framework-Springer International Publishing (2013).pdf
    • (SpringerBriefs in Statistics) Penalty, Shrinkage and Pretest Strategies_ Variable Selection and Estimation(2014).pdf
    • (SpringerBriefs in Statistics) Permutation Testing for Isotonic Inference on Association Studies in Genetics -Springer-Verlag Berlin.pdf
    • (SpringerBriefs in Statistics) Permutation Tests in Shape Analysis-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Person-Centered Methods_ Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables-Springer International Publis.pdf
    • (SpringerBriefs in Statistics) Renewal Processes-Springer International Publishing (2014).pdf
    • (SpringerBriefs in Statistics) Restricted Kalman Filtering_ Theory, Methods, and Application(2012).pdf
    • (SpringerBriefs in Statistics) Sample Size Determination in Clinical Trials with Multiple Endpoints-Springer International.pdf
    • (SpringerBriefs in Statistics) Sampling Designs Dependent on Sample Parameters of Auxiliary Variables-Springer-Verlag Berlin Heidelberg (2015).pdf
    • (SpringerBriefs in Statistics) Singular Spectrum Analysis for Time Series-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Software Reliability Modeling_ Fundamentals and Applications(2014).pdf
    • (SpringerBriefs in Statistics) SPSS for Starters, Part 2-Springer Netherlands (2012).pdf
    • (SpringerBriefs in Statistics) Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2_ Statistics on a Pocket Calculator, Part 2-Springer Ne.pdf
    • (SpringerBriefs in Statistics) Statistical Approaches to Orofacial Pain and Temporomandibular Disorder.pdf
    • (SpringerBriefs in Statistics) Statistical Decision Theory-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Inference for Discrete Time Stochastic Processes-Springer India (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Inference for Financial Engineering-Springer International Publishing (2014).pdf
    • (SpringerBriefs in Statistics) Statistical Models for Proportions and Probabilities-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Signal Processing_ Frequency Estimation-Springer India (2012).pdf
    • (SpringerBriefs in Statistics) Strategic Economic Decision-Making_ Using Bayesian Belief Networks to Solve Complex Problems-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Student’s t-Distribution and Related Stochastic Processes-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Telegraph Processes and Option Pricing-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) The Naive Bayes Model for Unsupervised Word Sense Disambiguation_ Aspects Concerning Feature Selection-Springer-Verlag Berlin Heidelberg (2.pdf
    • (SpringerBriefs in Statistics) The Significance Test Controversy Revisited_ The Fiducial Bayesian Alternative-Springer (2014).pdf
    • (SpringerBriefs in Statistics) Theoretical Aspects of Spatial-Temporal Modeling-Springer Japan (2015).pdf
    • (SpringerBriefs in Statistics) Time Series Modeling for Analysis and Control_ Advanced Autopilot and Monitoring Systems-Springer Tokyo (2015).pdf
    • (SpringerBriefs in Statistics) Two-Way Analysis of Variance_ Statistical Tests and Graphics Using R -Springer-Verlag New York (2012).pdf
    • (SpringerBriefs in Statistics) Unobserved Variables_ Models and Misunderstandings-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) A Concise Guide to Statistics-Springer-Verlag Berlin Heidelberg (2012).pdf
    • (SpringerBriefs in Statistics) A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem_ with Simulations and Examples in SAS(R)-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) A Tiny Handbook of R-Springer-Verlag Berlin Heidelberg (2011).pdf
    • (SpringerBriefs in Statistics) Adaptive Sampling Designs_ Inference for Sparse and Clustered Populations-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Algebraic and Computational Aspects of Real Tensor Ranks-Springer Japan (2016).pdf
    • (SpringerBriefs in Statistics) Indexation and Causation of Financial Markets Nonstationary time series analysis method-Springer (2016).pdf
  • 85.77 MB
  • 2017-9-13

  • Classification, feature selection and prediction with neural-network Taguchisystem.rar

    本附件包括：
    • Classification, feature selection and prediction with neural-network Taguchisystem.pdf
  • 1.39 MB
  • 2017-8-14

  • NTDA (pdf).zip

    本附件包括：
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.pdf
  • 2.97 MB
  • 2017-1-2

  • NTDA (epub).zip

    本附件包括：
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.epub
  • 2.02 MB
  • 2017-1-2

  • NTDA (pdf epub).zip

    本附件包括：
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.pdf
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.epub
  • 4.98 MB
  • 2017-1-2

  • Computational Intelligence and Feature Selection.rar

    本附件包括：
    • Computational Intelligence and Feature Selection.pdf
  • 2.32 MB
  • 2015-10-14

  • 数据挖掘完整课件（共有ppt919页）.rar

    本附件包括：
    • keshihuadm.ppt
    • web使用挖掘介绍及趋势.ppt
    • 在大型数据库中挖掘关联规则.ppt
    • 异常检测算法综述.ppt
    • 序列模式挖掘综述.ppt
    • 序列模式挖掘算法.ppt
    • 网页搜索效果评价.ppt
    • 统计学习理论与SVM.ppt
    • 数据挖掘入门.ppt
    • 数据挖掘概念、技术－－聚类.ppt
    • 数据挖掘概念、技术－－关联3.ppt
    • 数据挖掘概念、技术－－关联2.ppt
    • 数据挖掘概念、技术－－关联1.ppt
    • etuijian.ppt
    • fanshixi.ppt
    • Feature Selection for Ranking.ppt
    • FirteX-High Performance Full Featured Text Search Engine Library.ppt
    • Google-NanChang-Talk.ppt
    • guanlian.ppt
    • guinasuanfa.ppt
    • High-Dimensional OLAP.ppt
    • Intro Opening-runliu.ppt
  • 20.67 MB
  • 2009-6-28

  • 330422.rar
       数据挖掘课件

    本附件包括：
    • keshihuadm.ppt
    • web使用挖掘介绍及趋势.ppt
    • 在大型数据库中挖掘关联规则.ppt
    • 异常检测算法综述.ppt
    • 序列模式挖掘综述.ppt
    • 序列模式挖掘算法.ppt
    • 网页搜索效果评价.ppt
    • 统计学习理论与SVM.ppt
    • 数据挖掘入门.ppt
    • 数据挖掘概念、技术－－聚类.ppt
    • 数据挖掘概念、技术－－关联3.ppt
    • 数据挖掘概念、技术－－关联2.ppt
    • 数据挖掘概念、技术－－关联1.ppt
    • etuijian.ppt
    • fanshixi.ppt
    • Feature Selection for Ranking.ppt
    • FirteX-High Performance Full Featured Text Search Engine Library.ppt
    • Google-NanChang-Talk.ppt
    • guanlian.ppt
    • guinasuanfa.ppt
    • High-Dimensional OLAP.ppt
    • Intro Opening-runliu.ppt
  • 20.67 MB
  • 2009-5-27

  • 330408.rar
       数据挖掘PPT全套

    本附件包括：
    • 10.8.ppt
    • 10.IR-related e-Business .ppt
    • 11.Crawling Web document (part-1) .ppt
    • 12.large scale crawler .ppt
    • 13.eCommerce and IR (part-2) .ppt
    • 14.Text extraction.ppt
    • 16.PPT about the talk .ppt
    • 17.Indexing Technology for Search Engine .ppt
    • 18.An Introduction to Text Categorization .ppt
    • 20.Consideraions in Feature Selection.ppt
    • 23.HTML DocView .ppt
    • 24.Reading report by Wang Ning.ppt
    • 26.How to cralw the web .ppt
    • 27.course project, exam, etc..ppt
    • 1.about the course .ppt
    • 2.tianwangstory.ppt
    • 3.SEWM2003show.ppt
    • 4.a few words about web and its development.ppt
    • 5.Basic IR problems .ppt
    • 6.basic IR techniques .ppt
    • 7.preliminaries about HTML and HTTP .ppt
  • 11.98 MB
  • 2009-5-27
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