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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

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5 Data Mining Tips to Leverage the Benefits of Surveys

Smart Data Collective

Well, if you are someone who has loads of data and aren’t using it for your surveys and you would love to learn more on how to use it, don’t go anywhere because, in this article, we will show you data mining tips you can use to leverage your surveys. 5 data mining tips for leveraging your surveys.

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Data Analytics and Social Media: Twin Pillars in the Evolution of Business

Smart Data Collective

Social Media Analytics Helps Make the Most of Virtual Events. The core concept hasn’t changed that much, but as businesses are integrating all around the world, the increasing move onto the internet, and travel bans being implemented, it makes sense that there is a growing demand for virtual industry events.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

k-means Clustering – Document clustering, Data mining. In data mining, k-means clustering is used to classify observations into groups of related observations with no predefined relationships. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics. Source ].

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8 Ways Successful Online Business Leverage Big Data

Smart Data Collective

You can use data mining tools to evaluate feedback from customer surveys and other resources that will help you get a better understanding of their expectations. You can also use your own data analytics dashboards to see what customers are telling you. Use Data Mining to Hone Your Content Creation Skills.

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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Finally, unexpected or unavoidable events, like the blockage of a major trade route or unprecedented and severe storms , can cause catastrophic delays that shut down manufacturing or prevent trade from coming or going to a region. You can use predictive analytics tools to anticipate different events that could occur.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.