tools used for data mining

Recently I asked a lot of Java developers about what big data tools they used in the last 12 months.This is a series of topics for: Language Web Framework Application Server SQL data Access Tool SQL database Big Data Build

calculation or poor usability, so data preprocessing is an indispensable step in all our data mining processes. It's a good thing to say that preprocessing is usually a lot of time in our data mining process, but it's really worth it, and we'll talk about it in more detail

province to summarize sales data to view the Zhejiang-Shanghai area sales data. Slice (Slice): Select a specific value in the dimension for analysis, such as selecting only sales data for electronic products, or data for the second quarter of 2010. Cut (Dice): Select data f

products, or data for the second quarter of 2010.Cut (Dice): Select data for a specific interval in a dimension or a specific value for analysis, such as sales data for the first quarter of 2010 through the second quarter of 2010, or for electronic products and commodities.rotation (Pivot): That is, the position of the dimension of the interchange, like a two-di

method of exploratory analysis and preprocessing of data is described. These are the most basic elements of data mining using R.(2) Medium: Basic algorithm and applicationIt is composed of 第6-9, which mainly describes the basic algorithms and applications of data mining, in

disciplines such as computer science and related disciplines. The size of the data set often means that traditional statistical criteria are not suitable for data mining problems and have to be redesigned. In part, the criteria for adaptability and continuity are often necessary when a number of points are applied individually to update estimates. Although some

Frequent patterns mining (frequent pattern Mining) is a kind of mining commonly used in data mining, which is a frequent pattern mining algorithm called Apriori. First look at what is c

://gparted.sourceforge.net/livecd.php7.System Rescue CDSYSTEMRESCUECD can help you repair your system and data, and it is also a Linux system emergency disk that can be used as a bootable CD ROM and USB memory for management. The software provides tools to handle a variety of tasks, such as partitioning operations, file recovery, hard drive testing, and hard disk

personal understanding is that data warehousing is a precondition for data mining, because data in the data warehouse is usually collated data, which is what we usually call clear data

current marketing strategy Guided data mining is often used as a technical problem, that is, finding a model to explain the relationship between a group of input variables and the target variables.This is often the center of data mining, but if the target variable is not c

Python data analysis, R language and Data Mining | learning materials sharing 05, python Data Mining Python Data Analysis Why python for data analysis? In terms of

[Introduction to Data Mining]-quality of data quality and quality of Introduction to Data MiningData qualityThe data used by data mining is

packet sniffer is stored in the database after the tool vendor's processing server. The website operator can then see the data through the analysis report system.Web Log Mining processOverall process reference:1. Data preprocessing phaseAccording to the purpose of mining, the data