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Data mining

Dataconomy

Data mining is a fascinating field that blends statistical techniques, machine learning, and database systems to reveal insights hidden within vast amounts of data. Businesses across various sectors are leveraging data mining to gain a competitive edge, improve decision-making, and optimize operations.

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Data Mining: The Knowledge Discovery of Data

Analytics Vidhya

When you think about it, almost every device or service we use generates a large amount of data (for example, Facebook processes approximately 500+ terabytes of data per day).

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Data mining hacks 101: Listing down best techniques for beginners

Data Science Dojo

Data mining has become increasingly crucial in today’s digital age, as the amount of data generated continues to skyrocket. In fact, it’s estimated that by 2025, the world will generate 463 exabytes of data every day, which is equivalent to 212,765,957 DVDs per day!

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Understanding Associative Classification in Data Mining

Pickl AI

Summary: Associative classification in data mining combines association rule mining with classification for improved predictive accuracy. Despite computational challenges, its interpretability and efficiency make it a valuable technique in data-driven industries. Lets explore each in detail.

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Uncovering K-means Clustering for Spatial Analysis

Towards AI

What is K Means Clustering K-Means is an unsupervised machine learning approach that divides the unlabeled dataset into various clusters. In this scenario, the machine’s task is to arrange unsorted data based on parallels, patterns, and variances without any prior data training.

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Exploring Clustering in Data Mining

Pickl AI

Summary: Clustering in data mining encounters several challenges that can hinder effective analysis. Key issues include determining the optimal number of clusters, managing high-dimensional data, and addressing sensitivity to noise and outliers. What is Clustering?

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Fundamentals of Data Mining

Data Science 101

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.