10 powerful data mining software you deserve

Data is a very important resource, and many times we need to collect analytical data. H owever, most data is unstructured and requires a process and method to extract useful information from the data and convert it into understandable and usable forms. This article introduces you to 10 powerful data mining tools.

1、KNIME

KNIME can complete routine data analysis, data mining, common data mining algorithms, such as regression, classification, clustering, and so on. A nd it introduces many big data components, such as Hive Spark and so on. It also integrates components of machine learning and data mining through a modular data pipeline concept to help with business intelligence and financial data analysis.

2、Rapid Miner

Rapid Miner also known as YALE is written in Java programming language and provides advanced analytics through a template-based framework, an environment for machine learning and data mining experiments for research and practical data mining. With it, experiments can consist of a large number of arbitraryly nestable operators, and users do not need to write code, and it already has many templates and other tools to help easily analyze data.

3、SAS Data Mining

SAS Data Mining is a commercial software that provides a better way to understand data for descriptive and predictive modeling. SAS Data Mining has an easy-to-use GUI and automated data processing tools. It also includes advanced tools such as upgradeable processing, automation, hardening algorithms, modeling, data visualization, and exploration.

4、IBM SPSS Modeler

IBM SPSS Modeler is ideal for large projects such as text analysis, and its visual interface works well. It allows a variety of data mining algorithms to be generated without programming and can be used for anomaly detection, CARMA Cox regression, and basic neural networks that use multi-layered perceptrons for reverse propagation learning.

5、Orange

Orange is a suite of component-based data mining and machine learning software written in Python Its data mining can be done through visual programming or Python scripts, and it also contains features for data analysis, different visualizations, from scatterplots, bar charts, trees, to tree charts, networks, and heat maps.

6、Rattle

Rattle is an open source data mining toolkit written in the statistical language R and is free of charge. I t provides statistical and visual summaries of data, transforms data into model-friendly forms, builds unsuperged and supervised models from data, graphically presents model performance, and scores new data sets. It supports operating systems such as GNU / Linux Macintosh OS X and MS / Windows

7、Python

Python is a free, open source language with a short learning curve that developers can learn and use, and often start building datasets quickly and perform extremely complex affinity analysis in minutes. Python can be easily used for business use case data visualization as long as you are familiar with basic programming concepts such as variables, data types, functions, conditions, and loops.

(Recommended tutorial: python tutorial)

8、Oracle Data Mining

Oracle Data Mining enables users to build models to discover customer behavior target customers and develop profiles, enables data analysts, business analysts, and data scientists to work with data in databases with convenient drag-and-drop solutions, and SQL and PL / SQL scripts for automation, scheduling, and deployment across the enterprise.

9、Kaggle

Kaggle is the world's largest data science community, with statisticians and data diggers from around the world competing to produce the best models, the equivalent of a data science competition platform, where basically many questions can be found and interested friends can visit.

10、Framed Data

Finally, Framed Data is a fully managed solution that trains, optimizes, and stores ionized models of products in the cloud and provides predictions through API to eliminate infrastructure overhead. That is, framework data gets data from the enterprise and translates it into actionable insights and decisions, which makes users worry.

The above is about 10 powerful data mining software related to the introduction, I hope to help you.