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Overview of Data Exploration Techniques

ABSTRACT. Data exploration is about efficiently extracting knowledge from data even if we do not know exactly what we are look- ing for.

www.cs.brandeis.edu·202.8 KB
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A Brief Overview on Data Mining

Several major kinds of data mining methods, including generalization, characterization, classification, clustering, association, evolution, pattern matching, ...

www.ijceronline.com·169.4 KB
Data Mining: An Overview

Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to ...

www.everycrsreport.com·96.0 KB
[PDF] 1 What is Data Mining?

1 What is Data Mining? Data mining is the process of discovering interesting knowledge, such as patterns, associations, changes, anomalies and significant ...

hanj.cs.illinois.edu·77.4 KB
Data exploration

Overview. Welcome to Analytics Canvas's tutorial. This is one of a number of detailed tutorials in which we explain how each feature within.

analyticscanvas.com·232 B
The Concept of Data Mining

by JO Ogunleye · 2021 · Cited by 20 — Data mining is the process of collecting vast amounts of data in order to extract information and dreams from it. The data industry is currently experiencing ...

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Data Mining Concepts and Techniques - IEEE Xplore

by S Agarwal · 2013 · Cited by 409 — Data mining is a non trivial process of extraction of information which is hidden, previously unknown and is potentially useful, from large databases.

ieeexplore.ieee.org
Evolution of data mining: An overview

by M Ramzan · 2014 · Cited by 11 — Data mining refers to the process or method that extracts interesting knowledge from large amounts of data. Data mining have number of applications and these.

ieeexplore.ieee.org

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