best data mining software

the skewness coefficient is greater than 1 or less than 1 , called a highly skewed distribution, if the skewness coefficients are 0.5~1 or -1~0.5 is considered to be a medium-biased distribution; Peak State and its measurement ; the peak state is relative to the standard normal distribution. If a set of data obeys a standard normal distribution, then the value of the peak state coefficient is equal to 0, if the value of the peak state coefficient is

Tags: blog HTTP Io use AR strong data SP Div I. Preface Every time we talk about data mining, some people come up with ETL, algorithms, and mathematical models. It is a headache for me to implement engineering. In fact, as for data mining, algorithms are only the means of

observation data distribution characteristicSingle-Variable value grouping: Applies to discrete variables with less variable values.Group distance Grouping: Applies to continuous variables with more variable values.Ex: grouping methods and their watchmaking processesStep1: Determines the number of groups. The determination of group number is mainly used for the observation of data characteristics, so it de

The original: "Bi thing" analysis of 13 kinds of commonly used data mining technologyFirst, the forefrontData mining is from a large number of incomplete, noisy, fuzzy, random data, the extraction of hidden in it, people do not know beforehand, but also potentially useful information and knowledge of the process. The t

with several effective classification analyses: SVMs (based on LIBSVM), K-nn, stochastic forest economics and decision trees. It also allows for feature selection. These classifications can be combined in many ways to form different classification systems.For unsupervised learning, it provides k-means and affinity propagation clustering algorithms.Project homepage:https://pypi.python.org/pypi/milk/Http://luispedro.org/software/milkTen. PYMVPAPYMVPA (

Kaggle Data Mining -- Take Titanic as an example to introduce the general steps of data processing, kaggletitanic Titanic is a just for fun question on kaggle, there is no bonus, but the data is neat, it is best to practice it. This article uses Titanic data and uses a simp

Titanic is a kaggle on the just for fun, no bonuses, but the data neat, practiced hand best to bring.Based on Titanic data, this paper uses a simple decision tree to introduce the process and procedure of processing data.Note that the purpose of this article is to help you get started with data mining, to be familiar w

PS: Due to space issues, this blog mainly introduces the project Understanding Problem in the data mining standardization process. The remaining five aspects are as follows, in particular, modeling and other components involving specific algorithms will be written in the follow-up blog in the form of open-source software such as orange and knime or some Python ap

DataMining can be divided into three categories and six sub-items: Classification and Clustering belong to the Classification and segmentation class; Regression and Time-series belong to the prediction class; Association and Sequence belong to the Sequence rule class. Classification is calculated based on the values of some variables and then classified based on the results. (The calculation result is Data Mining