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Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
User queries are matched against the database information. Depending on the application the data objects may be, for example, text documents, images, [40] audio, [41] mind maps [42] or videos. Often the documents themselves are not kept or stored directly in the IR system, but are instead represented in the system by document surrogates or ...
The term data-driven is a neologism applied to an activity which is primarily compelled by data over all other factors. [citation needed] ...
Science is a systematic discipline that builds and organises knowledge in the form of testable hypotheses and predictions about the universe. [1] [2] Modern science is typically divided into two or three major branches: [3] the natural sciences (e.g., physics, chemistry, and biology), which study the physical world; and the social sciences (e.g., economics, psychology, and sociology), which ...
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...
The Research Organization for Life Sciences and Environment (Indonesian: Organisasi Riset Ilmu Pengetahuan Hayati dan Lingkungan, ORIPHL but also known as ORHL) is one of Research Organizations under the umbrella of the National Research and Innovation Agency (Badan Riset dan Inovasi Nasional, BRIN).