Data mining through crowdsourcing, on unstructured data sets

Data Entry India provides high quality and cost effective e-book data mining services.https://dataentryindia.co.uk/data-mining-services/e-book-data-mining.html

Today’s savvy companies know that process optimization means maximizing profit by using existing human and capital assets.

Optimization is achieved by improving yields, quality, and throughput while minimizing capital expenses.Oftentimes, companies spend a lot of time and money collecting data, but they don’t make full use of the data collected.

With a data mining tool, valuable information can be extracted from large databases saving time and improving processes.Top 10 Data Mining Tools To Supercharge Your Data1.RapidMiner StudioAdvertisementThis is a visual design environment that can help you quickly develop a predictive analytic workflow.

RapidMiner Studio comes with a library loaded with machine learning algorithms, model evaluation tools, data preparation and exploration functions.Data analysts can use the existing R and python code to add new functionalities via a marketplace which has many pre-built extensions that will help your data mining processes to be more effective.RapidMiner use cases:Machine learningText miningData miningPredictive analysisBusiness analysis2.Knime Analytics PlatformKnime is a reporting and integration platform that combines various components for use in data mining and machine learning.

It works by using a data pipeline concept that has a graphical interface that allows the use of nodes for data processing.

Very few open source solutions have a wide range of features like Knime.It comes as a suite of software applications that include collaborative extensions like Knime Server Lite, Knime TeamSpace, Knime Server and Knime WebPortal.With this data mining tool, you’ll get access to more than 1000 data analytic routines either through R and Weka or natively.Knime use cases:Image processingText analyticsSocial media analysisNetwork analysisData mining

The enormous amount of data produced on daily basis is overwhelming.

In case you are wondering what is unstructured data and how is it important, continue reading below:What is Unstructured Data?The kind of data which cannot be stored in a conventional database or a spreadsheet, such as Microsoft Excel, is described as unstructured data.

Although emails contain information such as date, sender address, recipient address, and subject information; yet what makes it unstructured data is the content in the mail’s body.

Emails can be referred to as semi-structured data too because they contain some information consistently.Some other examples of unstructured data are text files, photos, audio and video files, social media sites, call records and transcripts, webpages and blog posts, and open-ended survey responses.Importance of Unstructured DataThe huge amount of data, produced as unstructured, cannot be wasted.

Hence, organizations must find new ways to manage and analyze this valuable data, so that it can be put to good use to make important business decisions.

Finding a way to manage unstructured data can help organizations prosper in highly competitive environments.