Data mining software- Analysis of data to predict the future events

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Data mining is a procedure of analysing data using a number of analytical tools. The Analysis is done by finding correlations and patterns in large databases where one event is associated with the other.

With the help of Data mining software, entire raw data is turned into a valuable information asset by discovering the relationships between different events of data which helps in making feasible predictions about the future.

Rapidminer

This is one of the very efficient data mining software that implements most advanced analytics techniques to deliver predictive models to businesses. It provides a fine platform to rationalize unprocessed data and convey it as a product packed with useful information which aids in making knowledge based decisions for business processes.

WEKA

This is a fine machine learning software. It has been written in Java and hence is compatible with most of the operating systems. It basically operates on a set of machine learning algorithms to scrutinize and interpret large relational data bases and deliver prospective results for future.

KD Nuggets Data Mining Software

This is one of the most reliable data mining software that analyses the databases with modern analytical techniques and obtains the most significant information out of them. It has successfully replaced the data scientist and provides accurate predictive model by extracting the hidden patterns from voluminous databases.

Statistica Data Mining Software

This is one of the most comprehensive data mining software available in the market. It possesses all the required tools needed for complete data mining process. From building a structured information base to delivering precise predictive models, this software allows organisations to make proficient decisions for the future.

Orange Data Mining Software

Orange is a very popular data mining software known for its user friendly system of tools. One of its tools that distinguishes it from others is its data visualisation through bar charts, scatter plots, dendrograms, heat maps etc which makes the analysis of data very convenient, for evaluating future trends.

Rattle Data Mining Software

Rattle data mining software is one of the most advanced software which uses Graphical User Interface technology for data mining purposes. It basically relies on model base techniques presenting data in a statistical or visual manner after the extraction of the patterns and important information from large databases.

Easy Data Mining Software

This is a free data mining software available on its website. Although this software is available for free its program functions and features are no less than the other paid version software. With its multivariate analytical techniques, it sifts through large data bases to generate new information as per business requirements.

What is Data Mining Software?

The process of analysing and obtaining the patterns as well as relationships from a lot of databases and turning them into efficient and effective information packages is said to be data mining. Few years ago it was done by data scientists thus trying to give business organisations a competitive edge in the market. However, in today’s time, they have been completely replaced by data mining software that uses a much more efficient and advanced technology and analytical techniques breaking down complex databases and deciphering the insights from them to help the business organisations stay ahead from its competitors by providing them the future trends.

Today, it has become an integral part of many businesses since it is able to transform a raw data into business intelligence which is further utilised by the business institutions for decision-making purposes and as well as to make a practical forecast for the future market conditions.

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How to Install a Data Mining Software?

The installation procedure varies from one operating system to another like Windows, Mac or Android as every operating system has its own configuration. The installer file should be compatible with it, only then it can be installed properly. The installer file is available to be downloaded from publisher’ website. One should go through the installation manual properly before downloading and installing the file, and follow the instructions for each and every step as directed in the manual. It becomes very easy to comprehend the procedure if one goes through the instruction manual thoroughly and can install the file quite comfortably.

Benefits and Features of Data Mining Software

Data mining software are consistently becoming more and more popular in business world due to its amazing analytical and insightful capabilities to turn a conglomerate of data into a refined and useful knowledge pack making it a valuable asset for a business establishment. The main feature of a data mining software is that it disintegrates large voluminous data in a systematic manner to bring the relevant information out of it. This extracted information aids the organisations to make plausible predictions about the expected future market trends. Subsequently, they can keep themselves prepared and make the best out of any situation, whether it would be adverse or favourable for it.

The other most beneficial part of having a data mining software is that it reduces the workload and simultaneously saves a lot of time and as money for a firm. The organisation need not hire any outside data scientist and depend on him to analyse databases, which not only adds to the cost of the company but also consumes a lot of time where as the software accurately analyses big databases giving a more accurate result.

Great Free Windows Data Mining Software- KNIME

KNIME is an all-inclusive, open source, user friendly data mining software. It uses graphical user interface that allows analysis of data through excavation and transformation of patterns and raw information from already present large data bases into precise and business oriented pack of information.

Great Free Android Data mining Software- Data Mining.Remote

This is a data mining software which has been specially designed for android platform. It uses algorithm machine learning technology for data mining. It analyses the data bases and devises analytical representation of data to produce reliable results that aids in making sensible prediction for future.

Great Free Mac Data Mining Software- Knowledgeminer

Knowledgeminer is one of the best data mining software that has been designed particularly for MAC platform. Its fundamentally based on self organizing modelling which obtains unprocessed information from the provided data to construct a model and eventually transform it into an efficient knowledge bundle which will serve the business purposes particularly in decision making.

More Data Mining Software for Windows, Mac and Android

For windows version “Apache Mahout”, “ML-Flex”, “Databionic ESOM Tools”, “NLTK”, “ELKI”, “Sentic Net API” are some of the popular software. “S CaViS”, “Easy data mining” are some of the popular software for MAC Ops. “Data mining. Remote” is one of the most popular software for Android.

Most Popular Data Mining Software of 2016- IBM SPSS Modeler

This is one of the most versatile and one of the leading data mining software available in the market packed with all the modern analytical technologies to give you the best predictive models without any programming. This is one of the most preferred Data mining software by most of the contemporary business organisations.

Visual Workflow Designer
Increase productivity across the entire data science team, from analysts to experts
Speed up and automate the creation of predictive models in a drag + drop visual interface
Rich library of 1500+ algorithms and functions ensures the best model for any use case
Pre-built templates for common use cases including customer churn, predictive maintenance, fraud detection, and many more
'Wisdom of Crowds' provides proactive recommendations at every step to help beginners
Connect to Any Data Source
Work with all of your data, no matter where it lives
Instantly create point + click connections to databases, enterprise data warehouses, data lakes, cloud storages, business applications and social media
Easily re-use connections any time and easily share them with anyone who needs access
Connect to new sources with extensions from the RapidMiner Marketplace
Automated In-database Processing
Run data prep and ETL inside databases to keep your data optimized for advanced analytics
Query and retrieve data without writing complex SQL

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Harness the power of highly scalable database clusters
Supports MySQL, PostgreSQL, and Google BigQuery
What's New
and Bug Fixes
New Features
- Bias detection & mitigation: Receive bias warnings in every part of the RapidMiner platform including Turbo Prep, Model Simulator and more. When Studio thinks you have a column that could lead to model bias, you'll receive a warning along with an in-platform callout that explains what it was triggered by.
- Streaming & IIOT advancements: Mix and match RapidMiner with Python in low latency (50-100ms) use-cases, such as scoring large volumes of sensor data. Additionally, leverage a new function-fitting operator to fit data with custom functions when creating models for anomaly detection on devices, modeling physical behavior based on data, and more.
- Security enhancements: Support for Docker Rootless mode along with enhanced security in Kubernetes environments both raise our overall security standards. Security for containerized platforms is also improved through regular updates of Docker images with the newest secure components.
- Time series forecasting: Automate forecasting future values of univariate time series based on historical data in RapidMiner Go. Track advanced and seasonal trends when forecasting sales or staffing requirements and use intuitive visualizations to compare the results of competing models.
- NLP extension: Leverage a new RapidMiner extension for natural language processing to extract part-of-speech tags and recognize people, cities, organizations, and other entities within free text. This is typically used as a pre-processing method to determine the contents of documents, website text, etc.
Bugfixes
- The core Pivot operator now runs as expected inside a SparkRM operator.
- Updated heuristics for Hive table reads in Radoop Spark jobs to prevent failing Spark jobs when hidden Hive staging directories are present.
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