jawbone era case

Tags: blog http ar os using SP strong data onOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Clustering algorithm)This article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for the target customer group mining, the same use of Microsoft

Tags: style blog http io color ar os for SPOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Time Series algorithm)ObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state discrete values or continuous values for speculation and prediction, the algorithm used mai

of big data.Of course, all things have to take the data to speak, can not be confused, the ideal model is the red one to verify that I just said that when the total data reached 50%, our data mining results are 100 points, 100 what meaning? Absolutely right! That means what you want to do next is something we can fully speculate about, of course, when the amount of data is low, we can't do anything, we use any data mining algorithm theoretically will be infinitely close to this red line (ideal

explainedThe next interval, the situation has changed, in this interval, the order is between 50.000-181.677 has shown a high "hanging off rate" trend...... I'll go... To this range ... became the exclusively high "hang-off rate", and work Time became (PM2) afternoon .... Number of orders reduced to 50.000-181.677 .... It seems that the afternoon Customer service center should be a holiday, all changed to "Late Night" to work ... Hey...For this I browsed through the data source view, and throug

you can confidently find the boss, the rest is he did ....ConclusionConclusion... What should I write about? We summarize the meaning of data mining, in fact, the entire process is the use of data and mathematics to speculate and predict the unknown things, and the current we use of mathematics can be used to generate predictions, as well as the IT industry the Internet nearly a decade of vigorous development accumulated data can also meet the data requirements, And as the cost of data storage

inputs and relatively few outputs. In fact, it's the most widely used scenarios, such as when we get a bunch of data, when a goal is no clue, the Microsoft Neural network analysis algorithm is the best scenario for the application, because it uses the "human brain" characteristics to the vast ocean of data to explore useful information. For example: Boss threw the company's database to you ... Let you analyze the company why not make money ... Or what causes the non-profit ... This time t

generally have a huge factor to facilitate, for example: September this year, 30, the domestic release of a new mortgage policy ... If the curve is a price forecast line, this factor can be reflected on that day, and then, for example, the last week in Beijing continued haze ... If the curve is a sales forecast line for a mask, this factor is the cause of this node .....This panel shows the results we do not detailed analysis, its display is the decision tree analysis method, interested student

the results is so high! The existence of this model directly kills any other analysis algorithm, God horse clustering, Bayesian are floating clouds .... Floating clouds only.Through the above analysis, we have established our inference, male and female comrades in want to buy bicycles this thing is a group difference, not only by analyzing the whole facts can be obtained, of course, the two species of men and women on the Earth, there is a large difference in behavior and characteristics, For b