Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview Learn the basic concept of Data mining Understand the Applications. The post Introduction to Data Mining and its Applications appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Data mining is the process of finding interesting patterns. The post Proximity measures in Data Mining and Machine Learning appeared first on Analytics Vidhya.

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Data mining Machine Learning Measurement Data Science 247

Analytics Vidhya

MARCH 10, 2022

Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source […]. The post An Overview of Data Collection: Data Sources and Data Mining appeared first on Analytics Vidhya.

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Data mining Data Collection Data Science Analytics 251

Analytics Vidhya

AUGUST 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data Preprocessing Data preprocessing is the process of transforming raw data. The post Data Preprocessing in Data Mining -A Hands On Guide appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 4, 2021

This article was published as a part of the Data Science Blogathon Image 1 What is data mining? Data mining is the process of finding interesting patterns and knowledge from large amounts of data. This analysis […]. This analysis […].

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Smart Data Collective

FEBRUARY 23, 2023

Data mining technology is one of the most effective ways to do this. By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. What is Data Mining?

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Data mining Optimization Technology Machine Learning 123

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data mining is a technique of extracting and finding patterns in. The post What data mining can do for your company and Practical Uses of Data Mining in Businesses appeared first on Analytics Vidhya.

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Data mining Data Science Analytics Publishing 131

Smart Data Collective

SEPTEMBER 7, 2022

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO.

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Data mining Strategy Analytics Big Data 132

Phocas

MAY 5, 2021

To solve the company’s reporting and data mining needs, it deployed Phocas Software. The company currently operates 32 commercial/retail locations, and eight Atlantic Tire wholesale locations. They pride themselves in offering tires of all sizes and types, from bicycles to earth movers.

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Data mining Software Reporting Executive BI 244

TDAN

JULY 18, 2023

The recently published report by Research Nester, Global Data Mining Tool Market: Global Demand Analysis & Opportunity Outlook 2027, delivers detailed overview of the global data mining tool market in terms of market segmentation by service type, function type, industry type, deployment type, and region.

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Data mining Marketing Publishing Reporting 52

KDnuggets

JUNE 8, 2022

How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

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Smart Data Collective

NOVEMBER 18, 2020

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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Smart Data Collective

MARCH 23, 2022

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 mining Data Collection Modeling Marketing 115

KDnuggets

DECEMBER 2, 2021

UC San Diego Extension’s certificate in Data Mining is a five course, 15-unit program, that can be completed in as little as one year. Upon completion, you will be equipped with the necessary skills to make data-driven decisions in any industry. Find out more today.

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Data mining Data-driven Data Science 87

Smart Data Collective

MARCH 28, 2022

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. One of the most important benefits of data mining is gaining knowledge about customers.

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Data mining Customer Analytics Analytics Data-driven 93

Smart Data Collective

FEBRUARY 15, 2021

Data mining serves many essential purposes in numerous applications. Last April, we talked about ways that social data can be useful in business. However, social data can serve even more important purposes, especially for public policy makers, GMOs and leading nonprofits. This can reveal negative trends in society.

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Data mining Statistics Big Data IT 98

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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Data mining Data Science KDD Machine Learning 77

Smart Data Collective

OCTOBER 2, 2020

Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. They make it much easier to make numerous data mining requests.

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Data mining Cost-Benefit Big Data Data Science 83

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

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Data mining Big Data Forecasting Analytics 98

Smart Data Collective

AUGUST 25, 2020

Digital marketers can use data mining tools to assist them in a number of ways. Hadoop data mining technology can identify duplicate metadata content across different digital creatives, which might be causing search engine penalties, message saturation issues and other problems.

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Data mining Metadata Big Data ROI 105

Smart Data Collective

MAY 11, 2023

Banks Can Utilize Big Data and CRMs to Improve Customer Satisfaction There are a number of huge benefits of big data in the banking sector. In addition to using data analytics to fight fraud and improve actuarial decision-making, a growing number of banks are using CRM tools and data mining to improve their customer satisfaction.

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Data mining Big Data Data Analytics Cost-Benefit 93

Smart Data Collective

SEPTEMBER 17, 2023

Big data technology has disrupted the marketing profession in countless ways. We have talked extensively about the benefits of data analytics in SEO. Therefore, it should be no surprise that the marketing analytics market size is projected to double from $3.2 billion in 2021 to $6.4 billon by 2026.

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Smart Data Collective

SEPTEMBER 4, 2020

Data mining in Search Engine Optimization is a new concept and has gained importance in the digital marketing field. It can be understood as a process that can be used for extracting useful information from a large amount of data. What is Data Mining? Data Mining and Its Role in Business Decisions.

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Data mining Optimization Big Data Analytics 63

Jet Global

JUNE 5, 2019

So how does a leading-edge business find a way to marry their wealth of data with the opportunity to utilize it effectively via BI software? Let’s introduce the concept of data mining. Toiling Away in the Data Mines. Clustering helps to group data and recognize differences and similarities.

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Data mining Business Intelligence OLAP Data-driven 75

TreehouseTechGroup

JULY 22, 2020

Data mining for business analytics is the process of extracting valuable information from a vast amount of available corporate or consumer data. Businesses are generating huge amounts of data from various applications, IT systems, and databases. This data may be stored on. This data may be stored on.

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Data mining Business Analytics Analytics IT 52

IBM Big Data Hub

AUGUST 15, 2022

To help data scientists reflect and identify possible ethical concerns the standard process for data mining should include 3 additional steps: data risk assessment, model risk assessment and production monitoring. Data risk assessment. Detecting and defining bias and unfairness isn’t easy.

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Data mining Modeling Data Architecture Risk 60

Smart Data Collective

MARCH 18, 2020

Every SME needs to get the most value of their customer data. The post The Growing Importance of Customer Data Mining for SMEs appeared first on SmartData Collective. They can find that this will significantly increase the ROI of their marketing campaigns.

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Data mining Big Data Data Strategy Data-driven 99

Analytics Vidhya

JANUARY 7, 2022

Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ.

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Analytics Vidhya

MARCH 8, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition.

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Machine Learning Modeling Data mining Data Science 272

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text.

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Unstructured Data Data mining Data Science Analytics 224

Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining. The post What are Graph Neural Networks, and how do they work?

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Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

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Data Science Data mining Machine Learning Data Analytics 239

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 279

Data Science Data Lake Data Warehouse Predictive Analytics 279

Dataiku

OCTOBER 5, 2023

A shiny new technology appears and we prioritize its implementation: enterprise databases, personal computers, spreadsheets, three-tier architectures, business intelligence reporting, the internet, mobile computing, big data, data mining, cloud computing, self-service business intelligence, AutoML, AI, and now Generative AI.

Data Science 82

Data Science Data mining Business Intelligence Digital Transformation 82

CIO Business Intelligence

JULY 5, 2022

Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. The discipline is a key facet of the business analyst role. Business analytics techniques.

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Business Analytics Analytics Prescriptive Analytics Data mining 117

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

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KDnuggets

JUNE 15, 2022

14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups.

Machine Learning 81

Machine Learning Data mining Data Science Modeling 81