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t. e. Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from ...
A Multimedia database ( MMDB) is a collection of related for multimedia data. [1] The multimedia data include one or more primary media data types such as text, images, graphic objects (including drawings, sketches and illustrations) animation sequences, audio and video . A Multimedia Database Management System ( MMDBMS) is a framework that ...
Luo's broad research spans image processing, computer vision, natural language processing, machine learning, data mining, social media, computational social science, and digital health. He is a pioneer of contextual inference in semantic understanding of visual data and social multimedia data mining.
Text mining, text data mining ( TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails, reviews, and ...
Data journalism or data-driven journalism ( DDJ) is journalism based on the filtering and analysis of large data sets for the purpose of creating or elevating a news story. Data journalism reflects the increased role of numerical data in the production and distribution of information in the digital era. It involves a blending of journalism with ...
Social media mining is the process of obtaining data from user-generated content on social media in order to extract actionable patterns, form conclusions about users, and act upon the information. Mining supports targeting advertising to users or academic research. The term is an analogy to the process of mining for minerals. Mining companies ...
Mei-Ling Shyu. Mei-Ling Shyu is a computer scientist whose research involves deep learning for multimedia -related big data analytics. She is a professor of electrical and computer engineering at the University of Missouri–Kansas City. [1]
Social media mining. Social media mining is the process of obtaining data from user-generated content on social media in order to extract actionable patterns, form conclusions about users, and act upon the information. Mining supports targeting advertising to users or academic research. The term is an analogy to the process of mining for minerals.
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