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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.

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A Brief Introduction to Data Mining Functionalities

Pickl AI

Meta Description: Discover the key functionalities of data mining, including data cleaning, integration. Summary: Data mining functionalities encompass a wide range of processes, from data cleaning and integration to advanced techniques like classification and clustering.

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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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What is Data Mining? 

Pickl AI

Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Data Mining is typically necessary for analysing large volumes of data by sorting the datasets appropriately. What is Data Mining and how is it related to Data Science ? What is Data Mining?

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How Predictive Analytics Can Help Businesses Make Better Decisions

ODSC - Open Data Science

Predictive analytics is changing the way businesses operate, helping them make smarter decisions. By using data and technology, it can predict future trends, customer behavior, and much more. This article explains how retail and finance businesses use predictive analytics to improve their operations and grow.

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Scalability-focused Email Marketing Solutions that Incorporate Hadoop

Smart Data Collective

Since Hadoop is designed to work with large computer clusters made from inexpensive commodity-grade PC hardware, it’s uniquely attractive to smaller businesses that need the same kind of power found at larger organizations without the upfront infrastructure investment. Leveraging Hadoop’s Predictive Analytic Potential.

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Was ist eine Vektor-Datenbank? Und warum spielt sie fĂ¼r AI eine so groĂŸe Rolle?

Data Science Blog

der k-Nächste-Nachbarn -Prädiktionsalgorithmus (Regression/Klassifikation) oder K-Means-Clustering. Die Texte mĂ¼ssen in diese transformiert werden, eventuell auch nach diesen in Cluster eingeteilt und fĂ¼r verschiedene Trainingsszenarien separiert werden. Die Ă„hnlichkeitsbetrachtung erfolgt mit Distanzmessung im Vektorraum.