big jambox case

With the advent of the big data age, the importance of data mining becomes apparent, and several simple data mining algorithms, as the lowest tier, are now being used to make a brief summary of the Microsoft Data Case Library.Application Scenario IntroductionIn fact, the scene of data mining applications everywhere, many of the environment will be applied to data mining, before we did not apply because we h

Big Data efficient copy processing case analysis summary, copy case analysis summary An old customer wants to quickly copy data from a table in SQL Server to the SQLite database for regular backup. There are about more than 0.5 million records in the data table, the table has about 100 fields. In addition to the hope of rapid improvement, the efficiency is the fi

reference to the previous article, the focus of the new panel to see what the role of. Here we look for a product to analyze, we choose the previous association rule algorithm in the most Outstanding kettle (water Bottle) to see: We renamed two groups, most of the most likely to buy water bottles and the most unlikely to buy water bottle groups, we pin these two groups for cluster analysis ', we look at the second panel: We can see the two groups and regions have very

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)This article is mainly to continue on the two Microsoft Decision Tree Analysis algorithm and Microsoft Clustering algorithm, the use of a more simple analysis algorithm for the target customer group mining, the same use of Microsoft

of the most want to buy a car of the characteristics of the silver, tomorrow continue to analyze, and see can help me to simple analysis, the same first a few of the structure of the picture:Tomorrow night the results are analyzed, and the characteristics of the two algorithms are compared and analyzed. Be interested in big data don't forget your "recommendation" Oh.The power of data mining: I knew you'd do it!(not to be continued .....) ）(original)

Reprint: http://www.cnblogs.com/zhijianliutang/p/4076587.htmlThis is the last article of the Microsoft Series Mining algorithm, after the completion of this article, Microsoft in Business intelligence this piece of the series of mining algorithms we have completed, this series covers the Microsoft in Business Intelligence (BI) module system can provide all the mining algorithms, of course, this framework can be fully expanded, You can customize the mining algorithm, but the current series is not

to this problem. It has adopted some of the big data in the development of the basic code, the algorithm encapsulated as a class library, reduce the learning threshold of big data, reduce the development difficulty, and improve the development efficiency of big data projects. Large and fast integrated development framework consists of data source and SQL engine,

One: The outline of the configurationThere are several aspects to the main configuration:Host NameIpNetwork mappingAdd new usersAccess to the new user root for easy experimentationShutting down the firewallSecurity subsystem needs to be shut downII: Configuration of Host nameCommand: Vi/etc/sysconfig/networkThree: Configuration of IPNote: When you configure IP in the following ways, you need to close the link and then open the link　　　　Four: Configuration of the networkCommand: vi/etc/hosts　　　　Co

Lt;goals>-rf:ton-search-api Initially thought is Maven convulsions, so directly open Web search error solution, find a lot of said "directly to the local warehouse Ton-search-api delete." I have tried many times and I can't. In the end, it can only be repeated from the Code dependencies: the original TON-SEARCH-API This module is another colleague added, the API relies on other APIs, here called Ton-busib-api, And Ton-busib-api relies on TON-SEARCH-API, two API packages are interdependent.

First, reviewLet's review what we've said in the last few chapters. Summarized as follows: "Janet: Looking at the IT architecture in the Big Data era (1) Industry Message Queuing comparison" Janet: Looking at the IT architecture in the Big Data Era (2) Message Queuing rabbitmq-Basic concept detailed Introduction Janet: Looking

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Decision Tree Analysis algorithm)With the advent of the big data age, the importance of data mining becomes apparent, and several simple data mining algorithms, as the lowest tier, are now being used to make a brief summary of the Microsoft Dat

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

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

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

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

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

it.There is also a more special application scenario: When we are faced with a bunch of data to be based on a certain purpose to the data mining, the sense of not to know or to choose the appropriate algorithm in DM, this is the Microsoft Neural Network analysis algorithm application scenario.Technical preparation(1) Microsoft Case Data Warehouse (ADVENTUREWORKSDW208R2), the data table of the call center in the c