Data mining is the process of finding patterns in a given data set. These patterns can often provide meaningful and insightful data to whoever are interested in that data. Data mining i
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 d
Data warehouse and data mining are two big concepts. They are very mature in foreign countries. In China, with the accumulation of enterprise data and the maturity of ERP in the past few years, data warehouse and data
Tags: blog http os using ar strong file Data spThis 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 case data for a brief summary. Interested students can first refer to the above two a
Reprinted from Http://reader.dashuai.net/?p=100Data Cleansing Class toolDatawranglerGoogle RefineStatistical analysis class ToolsThe R Project for statistical ComputingTimeflowData Presentation class ToolsGoogle Fusion TablesImpureTableau PublicMany EyesVIDIZoho ReportsCode Helper Class ToolChooselExhibitMap-related data display toolsQuantum GIS (QGIS)OpenheatmapOpenlayersText class related processing toolsIBM Word-cloud GeneratorSocial Network class
Open-source tools for data mining)========================================================== ====================Blazzupan, PhD, Janez demsar, PhD (Compilation: idmer)
The history of data mining software is not long. Even the term "Data
Reprint: http://www.cnblogs.com/zhijianliutang/p/4067795.htmlObjectiveFor some time without our Microsoft Data Mining algorithm series, recently a little busy, in view of the last article of the Neural Network analysis algorithm theory, this article will be a real, of course, before we summed up the other Microsoft a series of algorithms, in order to facilitate everyone to read, I have specially compiled a
Reprint: http://www.cnblogs.com/zhijianliutang/p/4021799.htmlObjectiveThis 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 mainly three kinds: Microsoft Decision tree Analysis algorithm, Microsoft Clustering algorithm, Microsoft Naive Bayes algorithm , of course, followed by a summary of the res
A lot of good papers were quoted in this paper, so I read this 06 paper. Abstract
Introduces 10 challenging questions in data mining and a high-level guide to analyzing where data mining problems are occurring.
This article was written by the author by consulting some of the most active
If you have a shopping website, how do you recommend products to your customers? This function is available on many e-commerce websites. You can easily build similar functions through the data mining feature of SQL Server Analysis Services.
It is divided into three parts to demonstrate how to implement this function.
1. Build a Mining Model
2. Compile service in
PY, universal language, and more practical. With Python machine learning book There is a "machine learning combat" is very good, from the principle to the example to achieve, is simply God book. MATLAB is suitable for learning and research, the practical problem is that in the business sector can not find a job
" Tools for learning data
With the rapid development of database technology and the widespread use of electricity in the database of electric storage data is more and more large gate in the field of data mining to use scientific methods, method to reduce the time of mining algorithm to make data
The latest data mining capabilities in Microsoft SSAs are required in a project, although the data mining capabilities in SSAS have never been understood in the past when projects were often used in the SSAS cube (that is, Cube). So through the project demand this Dongfeng recently learned the next
warehouse for people to test and evaluate. Another online weekly for ds* (DS Representative decision Support), October 7, 1997 began publishing, can submit a free subscription to dstrial@tgc.com application. Online, there is also a free forum DM email Club, people through e-mail to discuss DMKD hot issues.
As for DMKD books, you can find more than 10 copies in any computer bookstore, but mostly with commercial color. The author suggests that interested persons may read the
Depending on the data mining that you've heard or seen countless times, do you know what that is? Many scholars and experts give different definitions of what data mining is, and here are a few common statements:"To put it simply, data m
formed a more perfect experience accumulation of the application scene. There are many applications in data mining that need to be developed, even if it is possible to dig out valuable patterns. Like Recommender systems, computer vision, and NLP, these values are known to be more fortunate than others. Write the Book of course everything to write, is there somet
Label:Extract the contents of the tables and LOB fields in the database files in the damaged disk by using the Oracle Dul tool In a 8i library recovery, as hard disk damage caused a number of tables to have a lot of paradoxical bad blocks, trying to use Dul to mine data, when using Dul 9 encountered a problem: when a table has a lob type, but also has a varchar2 type, and VARCHAR2 type data contains the ENT
Brief introduction
In the two articles before the "Data mining with WEKA" series, I introduced the concept of data mining. If you haven't read data mining with Weka, part 1th: Introduction and regression and
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Experience the SQL Server 2005 "Activity, of course, some SQL Server 2005
Article Translated into Chinese. Add it to favorites!
Article 2: Data Mining in business intelligence applications
Smart Application Platform
Over the past two decades, with the rapid economic development, organizations have collected a
Structure Mining, and web usage record mining. The previous two researches have produced many achievements. For example, Web Structure Mining is a technology used by various search engines.AlgorithmIncluding hits and Google PageRank. The Research on Web application record mining is relatively small, or it may be becau
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