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Description: The Code Project is an exciting site with impressive teaching and professional exchange capabilities. I have learned much from it and also decided to submit my contribution. Occasionally I was involved in a project to check experimental data for consistency. The data were collected in several binary files, which also contain \"holes\", i.e. missing data segments. The main idea to simplify the fast check report was to embed this report inside the progress control.-The Code Project is an exciting site with im pressive teaching and professional exchange c apabilities. I have learned much from it and als o decided to submit my contribution. Occasiona lly I was involved in a project to check experime ntal data for consistency. The data were collec ted in several binary files, which also contain "holes" ie missing data segments. The main idea to sim plify the fast check report was to embed this rep ort inside the progress control.
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Size: 18508 |
Author: 小叹号 |
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Description: http://www.amazon.com/JavaScript-jQuery-David-Sawyer-McFarland/dp/1449399029 JavaScript lets you supercharge your HTML with animation, interactivity, and visual effects—but many web designers find the language hard to learn. This jargon-free guide covers JavaScript basics and shows you how to save time and effort with the jQuery library of prewritten JavaScript code. You’ll soon be building web pages that feel and act like desktop programs, without having to do much programming. The important stuff you need to know: Make your pages interactive. Create JavaScript events that react to visitor actions. Use animations and effects. Build drop-down navigation menus, pop-ups, automated slideshows, and more. Improve your user interface. Learn how the pros make websites fun and easy to use. Collect data with web forms. Create easy-to-use forms that ensure more accurate visitor responses. Add a dash of Ajax. Enable your web pages to communicate with a web server without a page reload. Practice with living examples. Get step-by-step tutorials for web projects you can build yourself.
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Author: vince628 |
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Description: The Code Project is an exciting site with impressive teaching and professional exchange capabilities. I have learned much from it and also decided to submit my contribution. Occasionally I was involved in a project to check experimental data for consistency. The data were collected in several binary files, which also contain "holes", i.e. missing data segments. The main idea to simplify the fast check report was to embed this report inside the progress control.-The Code Project is an exciting site with im pressive teaching and professional exchange c apabilities. I have learned much from it and als o decided to submit my contribution. Occasiona lly I was involved in a project to check experime ntal data for consistency. The data were collec ted in several binary files, which also contain "holes" ie missing data segments. The main idea to sim plify the fast check report was to embed this rep ort inside the progress control.
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Size: 18432 |
Author: 小叹号 |
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Description: ％例15-1 NaN数据参与分析
a = magic(3)
a(2,2) = NaN ％用NaN表示遗失数据
sum(a) ％对数据集进行求和- Example 15-1 NaN data involved in the analysis a = magic (3) a (2,2) = NaN missing data with NaN express sum (a) of data sets summation
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Size: 3072 |
Author: 任国栋 |
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Description: 缺失数据的利器，SAS插件ive，和solas各有所长。-Missing data tool, SAS plug-ive, and SOLAS have their own strong points.
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Size: 446464 |
Author: huiele |
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Description: SAS中的缺失数据填补插件iveware使用的examples。
-SAS to fill in missing data iveware use plug-examples.
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Size: 567296 |
Author: huiele |
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Description: This a simple algorithm that downloads trading data from yahoo database. It is basically a large scale application of sqq.m which was originally submitted by Michael Boldin, link at acknowledgements.
Some of the functionalities of the package:
- User defined ticker list.
- Function for downloading most recent SP500 composition in ticker list.
- Control for bad data (e.g. a certain percentage of prices missing).
- Choice of frequency of data (e.g. weekly prices).
- Choice of starting and ending data.
- Function for saving the whole data in a pre-formatted excel file together with a full reports on missing data.-This is a simple algorithm that downloads trading data from yahoo database. It is basically a large scale application of sqq.m which was originally submitted by Michael Boldin, link at acknowledgements.
Some of the functionalities of the package:
- User defined ticker list.
- Function for downloading most recent SP500 composition in ticker list.
- Control for bad data (e.g. a certain percentage of prices missing).
- Choice of frequency of data (e.g. weekly prices).
- Choice of starting and ending data.
- Function for saving the whole data in a pre-formatted excel file together with a full reports on missing data.
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Size: 19456 |
Author: ahmed |
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Description: The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.-The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
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Author: Tthias |
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Description: ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K—
me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记
录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据
集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will be introduced to the Naive Bayesian Classifier study, a K-means based on the Naive Bayesian classification algorithm. First of all, with K-me. arks algorithm focus on the raw data of the complete data subset of the cluster, the calculation of missing data for each subset of records and the similarity between the cluster center of gravity to the nearest record assigned to a cluster, and the corresponding attributes of the cluster means to fill the missing value record, and then use Naive Bayes classification algorithm to deal with the data set after classification. The experimental results show that compared with the Naive Bayes, K-means based on the thinking of Naive Bayes algorithm has higher classification accuracy.
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Author: 李浩 |
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Description: 基于weka的分类算法，用于weka拓展应用。朴素贝叶斯模型发源于古典数学理论，有着坚实的数学基础，以及稳定的分类效率。同时，该算法所需估计的参数很少，对缺失数据不太敏感，算法也比较简单。理论上，与其他分类方法相比具有最小的误差率。-Based on the classification algorithm weka, weka develop applications for. Naive Bayes model originated in the classical mathematical theory, has a solid mathematical basis, as well as the stability of the classification efficiency. At the same time, the algorithm estimates the parameters required for small, less sensitive to missing data, the algorithm is also relatively simple. In theory, when compared with other classification methods with the smallest margin of error.
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Author: zhangrui |
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Description: This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exchange at www.mathworks.com.
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Size: 88064 |
Author: Morteza Babaee |
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Description: 自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are:
- Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands,
- Vector Autoregressive modeling and Detection [uses ARMASA]
- Reduced statistics ARMAsel: A compact yet accurate ARMA model is obtained based on a given power spectrum. Can be used for generation of colored noise with a prescribed spectrum.
- ARfil algorithm: The analysis of missing data/irregularly sampled signals
- Subband analysis: Accurate analysis of a part of the power spectrum
- Detection: Generally applicable test statistic to determine whether two signals have been generated by the same process or not. Based on the Kullback-Leibler index or Likelihood Ratio.
- Analysis of segments of data, possibly of unequal length.
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Size: 302080 |
Author: 王佳 |
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Description: Tutorial: Algorithms for 2-Dimensional Object Recognition.
Representation of arbitrary shape for purposes of visual recognition is an unsolved problem. The task of representation is intimately constrained by the recognition process and one cannot be solved without some solution for the other. We have already done some work on the use of an associative neural network system for hierarchal pattern recognition of the sort that may be ultimately useful for generic object recognition. The conclusions from this work were that
@ Networks can be constructed which are robust to noisy and missing data.
@ The input to the network should preferably be signi_cance measures of homogenous features.
@ The required invariance properties must be explicit in the form of input representation.
We restrict here the recognition task to pre-segmented rigid bodies in the hope that a solution for this case will suggest ways of solving the more general case.
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Size: 136192 |
Author: SS |
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Description: 一种奇异值分解的更新算法，可以用来增量地进行主成分分析，根据文献《Incremental singular value decomposition of uncertain data with missing values》-《Incremental singular value decomposition of uncertain data with missing values》
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Size: 1024 |
Author: 钱叶魁 |
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Description: Autoregressive model for missing data
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Size: 25600 |
Author: Yiyao |
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Description: 预测单倍型根据基因型数据,根据已经知道的数据,预测未知的数据- The program PHASE implements methods for estimating haplotypes from population genotype data described in
Stephens, M., and Donnelly, P. (2003). A comparison of Bayesian methods for haplotype reconstruction from population genotype data. American Journal of Human Genetics, 73:1162-1169.
Stephens, M., Smith, N., and Donnelly, P. (2001). A new statistical method for haplotype reconstruction from population data. American Journal of Human Genetics, 68, 978--989.
Stephens, M., and Scheet, P. (2005). Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation. American Journal of Human Genetics, 76:449-462.
The software also incorporates methods for estimating recombination rates, and identifying recombination hotspots:
Crawford et al (2004). Evidence for substantial fine-scale variation in recombination rates across the human genome. Nature Genetics,.
The software is free for non-commercial use, and may be licensed for commercial use
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Author: zcrself |
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Description: 大智慧股票本地数据读取接口
1)调用格式:FxjData2FinData(Market,DataType,FinDataLib)
其中,
Market:市场代码,SH为沪市,SZ为深市,BK为板块指数,如果有其它市场数据,可有其它市场代码如HK等.
DataType:数据类型,dm,cq,cw0,hq0,hq,等等,含义见下面注释
FinDataLib:目标逻辑库,如果给定的目标逻辑库不存在,则将设为Work
2)如果数据文件已经被分析家等软件占用导致无法打开时,将自动复制一份该文件,并从该备份文件中读取数据.
3)程序将自动补充数据,即如果目标表不存在,则建立并添加数据,如果目标表已存在,则判断表中每只证券的最新
数据,然后只添加数据表中所缺少的数据.
-1) call format: FxjData2FinData (Market, DataType, FinDataLib)
Where
Market: Nasdaq, SH is Shanghai stock market, SZ dark city, BK for the sector index, if there are other market data, can have other markets, such as HK and other code.
DataType: data types, dm, cq, cw0, hq0, hq, and so on, meaning see note below
FinDataLib: target logic libraries, if the logic of a given target database does not exist, will be set to Work
2) If the data file has already been occupied by leading analysts such as software, can not be opened, it will automatically copy the file from the backup file to read the data.
3) The program will automatically add the data, that is, if the target table does not exist, then create and add data, if the target table already exists, then the judge in the table each securities Latest
Data, and then add only the data in the table by missing data.
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Size: 1367040 |
Author: 黄奇家 |
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Description: Motion Segmentation with Missing Data using PowerFactorization and GPCA
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Size: 418816 |
Author: thtss |
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Description: 这是一个Matlab程序，用牛顿插值法，补充缺失的数据，从而保证了数据的完整性。-This is a Matlab program, using Newton s interpolation method, add missing data, thus ensuring data integrity.
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Size: 1024 |
Author: 于忠达 |
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Description: 数据探索分析中处理缺失数据的高级处理方法(Advanced processing methods for missing data processing in data discovery analysis)
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Size: 2048 |
Author: 宇宙zy
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