5 must have tools for data miners 2022
Increasing competition among companies and a plethora of choices for consumers have resulted in the companies wanting to gain an edge over their competitors. Thus, businesses have started extracting numbers and using those to statistically back their strategies up, also known as data mining.
What is data mining?
Data mining is the practice of grading and sorting through large databases to find patterns and interrelations that can help solve business problems through data analysis. In simpler terms, it is the process used to turn raw, mostly unfiltered data into useful information to be used by business entities.
Who are data miners?
Data miners are people who are responsible for data mining
To carry out such an important function, data miners need the best tools. Some of them are listed below:
- IBM SPSS Modeler
- SAS Enterprise Miner
- Oracle Data Mining
Let’s have a look at each one of them in-depth:
- MonkeyLearn: It is a machine learning algorithm specifically dealing with Text Analysis. It makes the raw text into actionable data by deriving connotations from texts used in, for instance, emails, tweets, comments, articles, critiques and reviews and tells if the sentiment used in a particular piece is positive or negative without the need for human interference. It works in two simple steps –
- put in your text data (in CSV or excel form)
- convert your text into tags by either pre-existing model
- data miners have the freedom to make their custom classifiers and extractor themselves using a machine learning algorithm
- Then put your tags to work and get insights useful for your Business.
It does not have a free version, but you can get a free trial. However, subscriptions are expensive, starting from $299 per month.
- IBM SPSS Modeler: Data mining has two models: Predictive and Descriptive.
Predictive modelling deals with predicting, classifying and using regression and time series analysis on the data.
One of the most popular software used for predictive modelling is the IBM SPSS Modeler. It has existing models and algorithms ready to be deployed; however, it offers data scientists flexibility to develop THE SAME independently. One advantage of using it is IBM Cloud Pak for Data, an AI platform recently acquired by IBM which enables one to run predictive models on any platform, on any cloud. One can also use it for modal management and deployment. One of the most expensive machine learning tools, it is available at $499 per month. However, you can try a free trial version, available for a few days.
- Weka: It is a combination/collection of machine learning algorithms used for data mining tasks; however, data miners can use it or apply their java code. It deals with association rules, regression, classification, clustering, and visualisation. It has algorithms for the same, which are famous and easy to use, like K Nearest Neighbours, Simple K Means, Decision Tree, Support Vector Machines, Linear Regression etc. The process of data mining has become relatively easy in Weka. All you need to do is
- Open “Explorer” and pull out the data you require to be processed.
- Next, pre-process it in Weka to decide if you want to classify, cluster or apply the association rule to your data.
- Run the algorithm that suits your dataset best and even visualise it for better presentation. The best thing about Weka is that it is open-source software and is free to use.
- SAS Enterprise Miner: One machine learning software that is an all-rounder and helps one deploy both predictive and descriptive models on large and heavy datasets.
- This means that this software deals with the curse of dimensionality.
- Also, it is user-friendly
- It requires no coding
- And it also has a drag and drop function and makes decision making a lot easier.
Although its demand might be decreasing when we look at languages like Python and R, it is still a very relevant data mining tool that one cannot just ignore to learn in 2022. Unfortunately, regarding its pricing, they do not offer a free version; a free trial, however, can be an option.
- Oracle Data Miner: An interactive workflow tool enables data scientists and business analysts to analyse data using a simple graphical drag and drop function. It is an extension to the Oracle SQL Developer, made user friendly by various nodes. Some nodes are Explore and Graph, Transform, Column filter and Model build nodes. They help perform functions like visualising data, supporting popular and custom data transformation, using attribute importance and automating common and repetitive steps. In addition, it helps in comparing the result of the same data if different models were deployed. One of the best tools for beginners to use as it is free to download.