Explore: Social Aspects Of Data Mining

Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics

by the rise of social networks in the early 2000s. This phenomenon has resulted in the accumulation of unprecedented amounts of public data. This large

Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and

on Data Mining, Workshop on Data Mining in Human Activity Analysis Wallach, H. (2018). Computational social science ≠ computer science + social data. Communications

education Social media mining – Obtaining data from a social media user's content Social media optimization – Form of optimization Social media surgery – Gathering

Reality mining is the collection and analysis of machine-sensed environmental data pertaining to human social behavior, with the goal of identifying predictable

Mining is the extraction of valuable geological materials and minerals from the surface of the Earth. Mining is required to obtain most materials that

the middle of so much data, which relates to the job of data scientists. A typical example of a necessity of data filtering (data mining) is in healthcare

sanitization approach for privacy preserving data mining on social distributed environment". Journal of Ambient Intelligence and Humanized Computing.

with significant results. Thus data dredging is also often a misused or misapplied form of data mining. The process of data dredging involves testing multiple