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Data Mining Series (4) Mining Association rules using Weka

Several basic concepts and two basic algorithms for association rules are described in the previous few. But actually in the commercial application, the writing algorithm is less than, understands the data, grasps the data, uses the tool to be important, the preceding basic article is to the algorithm understanding, this article will introduce the open source utilizes the data Mining tool Weka to carry on the management rule

Use excel for data mining (4) ---- highlight abnormal values and excel Data Mining

Use excel for data mining (4) ---- highlight abnormal values and excel Data Mining Use excel for data mining (4) ---- highlight Abnormal Values After configuring the environment, you can use excel for data mining. For environment configuration problems, see: Http://blog.csdn.net/xinxing__8185/article/details/46445435

[Introduction to Data Mining]-quality of data quality and quality of Introduction to Data Mining

[Introduction to Data Mining]-quality of data quality and quality of Introduction to Data MiningData qualityThe data used by data mining is usually collected or collected for other purposes without explicit purpose. Therefore, data quality cannot be controlled at the data source. To avoid data quality problems, data mining focuses on two aspects: detection and co

Mining Association rules of Data Mining Algorithm (II.) fpgrowth algorithm

only 1. So the count of conditional pattern bases is determined by the minimum count of nodes in the path.Depending on the conditional pattern base, we can get the conditional FP tree for that commodity, for example i5:According to the conditions of the FP tree, we can do a full array of combinations, to get the frequent patterns excavated (here to the commodity itself, such as i5 also counted in, each commodity mining out of the frequent pattern mus

Data mining Algorithm (III.)--logistic regression __ Data Mining

Data Mining Algorithm Learning notes SummaryData mining Algorithm (one) –k nearest neighbor algorithm (KNN)Data mining Algorithm (ii) – Decision treeData mining Algorithm (III.) –logistic regression Before introducing logistic regression, it is helpful to review a few basic knowledge points to help the understanding b

Block chain development: mining and mining pools based on the block chain

What is digging a mine. When we talk about Bitcoin, a noun that is often referred to is "digging", so what is it about digging a mine? What is the detailed process of it? Personally, I used to know that the so-called mining is about to find a random number, so that the hash value of the block is less than a certain number, but what is the specific. I don't know... And, of course, not only that, many other concepts like the structure of blocks, the s

Seismic data Mining and analysis system (cloud computing processing, intelligent mining technology)

courses in the field of Java technology. Primarily Java-related technologies: Struts, Sping, Hibernate, Oracle, SQL Server, Hadoop, Memcache, Html, JavaScript, ActiveMQ.1. Deep mining of Big data2. Big Data storage3. Big Data Processing Solution4. Pure Distributed database: Cassandra5. The combination of cloud computing and database technology6. HDFS7, GANGLIA8. Examples of traffic data processing9, Data warehousing interface development10. Sqoop com

The---of data mining project to implement content recommendation system by mining Web log

First talk about the problem, do not know that everyone has such experience, anyway, I often met.Example 1, some websites send e-mails to me every few days, each e-mail content is something I do not interest at all, I am not very disturbed, to its abhorrence.Example 2, add a feature of a MSN robot, a few times a day suddenly pop out a window, recommend a bunch of things I don't want to know, annoying ah, I had to stop you.Every audience just want to see what he is interested in, rather than some

CUDA (33) ETH Mining (Parallel-mining project based on OPENCL/GPU)

1. Install NVIDIA graphics driver; then install Opencl/cuda http://blog.csdn.net/canhui_wang/article/details/72540004 2. Configure the local environment for Ethereum Mining sudo apt-gethttps://github.com/genoil/cpp-ethereum/blob/master/readme.md-y install Software-properties-common sudo add-apt-repository-y ppa:ethereum/ethereum sudo apt-get update sudo apt-get install git sudo apt-get install CMake sudo apt-get install Libcryptopp-dev sudo apt-

GPS deformation monitoring and its pseudo-satellite enhancement technology in mining area GPS and its pseudolite augmented technique for deformation monitoring in the Mining areas

Author: Liu Chao mentor: Professor KakaiDegree of application: PhD in Engineering: School of Environment and Surveying and mappingSubject major: Geodetic Surveying and Surveying engineering research direction: GNSS Disaster MonitoringChairman of the Defence Committee: GWO of the Institute:Original: LinkGPS deformation monitoring and its pseudo-satellite enhancement technology in mining area GPS and its pseudolite augmented technique for deformation mo

Deep Mining of Python and metabases II [experience] and deep mining of python

Deep Mining of Python and metabases II [experience] and deep mining of python The previous article solved some of the namespace problems that may occur during the generation of instance objects by calling class objects. This time we go back to the next layer to see how class objects are generated. We know that the type () method can view the type of an object, or determine which class the object is generate

Prefixtreeespan frequent subtree pattern mining A pattern growth algorithm realizes mining embedded subtrees.

(String label) {this.label = label;} public int getattached () {return attached;} public void setattached (int attached) {this.attached = attached;} Public String toString () {return "(" + label + "," + getattached () + "):" + Gettimes ();}} Package Iie.ucas.treeminer.bean;public class Prefixtreenode {private String label = "";p rivate int pos = 0;private int numminus = 0;//is used to represent the number of 1 in front of the next label public int Getnumminus () {return numminus;} publi

Python_dm_ Data Mining Mining method

Ipython is a python interactive shellAnaconda, packaged toolbox, type Eclipse becomes j2ee,android, can be installed on its own, or it can be the next ready versionSymPy Powerful Symbolic Data toolBased on the NumPy library, scipy function library adds many library functions which are commonly used in mathematics, science and engineering calculation. Examples include linear algebra, numerical solutions for ordinary differential equations, signal processing, image processing, sparse matrices, sta

HSR Official POS Mining tutorial, mobile wallet app, offline POS mining tutorial

Today Bo Master share a mobile app mining software, HSR mobile phone pos mining weapon Ah, never again worry about a bowl of pork run away The old look, first download official This app, please note, must recognize official website h.cash ... Download Address: Https://h.cash/zh-cn/app_download Here I take the Android system as an example, the download is completed after the installation Th

Data mining case: Establishing customer churn model _ data mining

With the intensification of market competition, China Telecom is facing more and more pressure, customer churn is also increasing. From the statistics, the number of fixed-line PHS this year has exceeded the number of accounts. In the face of such a grim market, the urgent task is to make every effort to reduce the loss of customers. Therefore, it is necessary to establish a set of models that can predict customer churn rate in time by using data mining

Data mining-association rule mining-Implementation of the Apriori algorithm

For algorithm details, see fast algorithm for mining association rules. Graphical Version project + Test Case download stamp this http://download.csdn.net/detail/michealtx/4266155 The console version C ++ code is as follows: # Include

Chapter 9-10-complex data mining + application and development trend of data mining (9/10) + (10/10)

Spatial Data Multimedia Data For example, image data Description-based retrieval system: keywords, titles, dimensions, etc. Content-based retrieval system: color composition, texture, shape, object and wavelet transformation. Time series data and sequence data Trend Analysis Long-term changes (long-term trends) Cyclical changes (periodic changes, if any) Seasonal changes Irregular changes Text Database Mining Latent Semantic Indexing The potential sem

Theory and method of spatial data mining technology

Theory and method of data-spatial data mining technology Gejoco (Information Institute of Southwest Agricultural University 400716) This paper briefly discusses the theory and characteristics of spatial database technology and spatial data mining technology, this paper analyzes the level and method of spatial data mining technology, and emphatically introduce

Microsoft SQL Server Analysis Service Data mining technology

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 data mining for SSAS, here first write a blog to do a brief summa

What is data mining?

Data Mining is the non-trivial process of obtaining effective, novel, potentially useful, and ultimately understandable patterns from a large amount of data. A broad view of data mining: Data mining is the process of "digging" interesting knowledge from a large amount of data stored in databases, data warehouses, or other repositories. Data

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