dropbox 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 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 re

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

Business Intelligence product Data mining focuses on solving four types of problems: classification, clustering, correlation, prediction (which will be explained in detail after the four types of questions), while conventional data analysis focuses on solving other data analysis problems, such as descriptive statistics

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

1. Define the mining target To understand the real needs of users, to determine the target of data mining, and to achieve the desired results after the establishment of the model, by understanding the relevant industry field, familiar with the background knowledge. 2. Data acquisition and processing of clear

The previous article introduced the open source data mining software Weka to do Association rules mining, Weka convenient and practical, but can not handle large data sets, because the memory is not fit, give it more time is useless, so need to carry out distributed computing, Mahout is a based on Hadoop Cloth

First contact data mining related knowledge, worship Daniel's article, hope to be able to add their own understanding What is clustering, classification, regression. Article 1: Data mining commonly used methods (classification, regression, clustering, association rules, etc.), slightly to the conceptual interpretatio

In various data mining algorithms, association rule mining is an important one, especially influenced by basket analysis. association rules are applied to many real businesses, this article makes a small Summary of association rule mining. First, like clustering algorithms, association rule

1 What is data mining? The most commonly accepted definition of "Data Mining" is the discovery"Models" for Data. 1.1 statistical modeling Statisticians were the first to use the term "data min