6 Effective Data Mining Tools and Why You Might Use Them

By Indeed Editorial Team

Published March 11, 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Data mining is a useful process that allows you to identify patterns and trends in your data sets that may help you make informed decisions. You can use software tools that help you perform this process quickly, which may help you conduct valid and efficient research. Learning how to use data mining tools may help you develop an effective research process. In this article, we discuss what data mining tools are and provide a list of six examples for you to review.

What are data mining tools?

Data mining tools are resources that may help you pull meaningful data from a wide variety of sources. It's common for businesses to use raw data when researching, which is data taken from a direct source without sorting through it. This data may have irrelevant information that doesn't benefit your research. Data mining allows you to use technology and analysis techniques to extract important data that enhances your research. There are specific tools that may help you complete this process more efficiently by using automated data mining systems that keep you from analyzing the information manually.

Related: Examples of Data Mining Applications and Selection Criteria

Who uses data mining tools?

There are a variety of industries in which professionals may benefit from using mining tools to extract specific information from numerous sources. These industries include transportation, government finance, construction, sales, business, science and education. For example, retail companies may use data mining tools to find negative feedback from clients by using keywords that include the company's name and product information. Marketing professionals may also use these tools to analyze market trends by performing data mining their target audience's social media engagement.

Related: 10 Top Reporting Tools (With Tips for Data Reporting)

Why are data mining tools important?

Here are some reasons you might use data mining tools to help you assess data:

  • Allows for quick research: Data mining tools may expedite your research process since you can extract data at a quicker rate.

  • Ensures that data is relevant: You may use data mining tools to pull relevant information from a large data set, rather than pulling information that may not advance your research.

  • Implements standardized mining strategy: You might use tools to help your workplace implement a solid data mining strategy that allows you to use a standardized process when sorting through information. Having a standardized process may allow you to find relevant data efficiently and successfully.

Related: What Is Data Visualization: Definition, Types and Tools

6 data mining tools

Many data mining tools provide free trials to users so that you may test out the software to understand the data extraction strategies. Here are six examples of data mining tools to help you determine which is a good choice for you:

1. Rapid Miner

Rapid Miner is a software platform that provides users with data modeling tools that may help them extract meaningful data from numerous sources. The platform handles data at many stages, including data preparation, cleansing, analysis, visualization and review. This may help users perform data mining on information that doesn't generally allow for extraction, like data that is in a visualization stage since the data is no longer raw in this format.

Because of this, data scientists and researchers may find it useful to use Rapid Minder in case they want to perform data mining processes on older data or data that they mined in the past. This tool provides users with clear steps and instructions so that they can perform data mining and modeling easily.

2. MonkeyLearn

MonkeyLearn is a software platform that allows users to perform data mining in real-time on their operating devices as they perform research. You can download this program onto your system and enable the program to analyze the text on your screen to extract specific keywords or phrases that relate to your research. By doing so, you may find important information easily, which may help you sort through resources quickly. This program allows you to integrate it with other computer programs so that you may run several applications while performing research.

Related: Top 8 Data Analytics and Big Data Certifications To Boost Your Career

3. IMB SPSS Modeller

IMB SPSS Modeller is a data mining program that allows users to expedite the data mining process by using rearrangement techniques and visuals to enhance data analysis. Users that have less experience in data mining might use this program since it provides an easy-to-use interface by building predictive models to explain complex data algorithms. This program also allows you to transfer and important large amounts of data from numerous sources, like websites, spreadsheets and journals. After importing the data, the program rearranges the text to find trends, patterns or phrases that users might not find from the standard text.

4. Weka

Weka is a machine learning software that uses numerous data algorithms to complete data mining processes. Users may select from a variety of mining tasks, like data classification, regression, clustering, visualization and preprocessing. You may perform these tasks without writing code, which provides you with a preview of the mined data. This may help you find relevant information quickly.

It's common for data professionals that have a background in coding to use this tool since they may write code to download more mined data. Because this program provides you with the option to perform data mining without writing code, it's important that you have in-depth knowledge about data algorithms so that you may select the correct one to perform the desired data mining process.

Related: What Is Data Mining? A Definitive Guide With Examples

5. KNIME

KNIME is an open-source data-mining program that allows inexperienced data professionals to learn about the data mining process. This platform provides information about how to build, deploy and maintain a data mining strategy that is sustainable for large amounts of information. It uses predictive intelligence to extract data from resources on the user's system. The platform provides users with a detailed guide to perform the data mining process. It's common for companies to use this program to introduce data mining processes for employees to grow their data processing and extracting experience.

6. XPlenty

XPlenty is a platform that prepares data for mining processes. It's common for companies that sort large amounts of data to use this platform since it allows for users to extract information from data warehouses, which is a type of data management system that stores analytics data. Depending on the user's experience with coding, this platform provides a high-code, low-code or no-code option when inputting data algorithms. You can use this platform to transfer data between databases and data warehouses, which may help you analyze mass amounts of information efficiently.

Please note that none of the companies or products mentioned in this article are affiliated with Indeed.

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