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When talking about social data analytics, there are a number of factors it's important to keep in mind (which we noted earlier): [1] Sophisticated Data Analysis: what distinguishes social data analytics from sentiment analysis is the depth of the analysis. Social data analysis takes into consideration a number of factors (context, content ...
The OR Society hosts a variety of events and conferences designed to promote networking, learning, and the exchange of ideas within the operational research community. These events attract both national and international attendees from academia, industry, and public sector organisations.
Research networking (RN) is about using tools to identify, locate and use research and scholarly information about people and resources.Research networking tools (RN tools) serve as knowledge management systems for the research enterprise.
Knowledge discovery is an iterative and interactive process used to identify, analyze and visualize patterns in data. [1] Network analysis, link analysis and social network analysis are all methods of knowledge discovery, each a corresponding subset of the prior method.
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), [1] and deriving a conclusion from them. Complex event processing ( CEP ) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from ...
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
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Event aggregation is a technique where multiple events that are very similar (but not necessarily identical) are combined into an aggregate that represents the underlying event data. Its main objective is to summarize a collection of input events into a smaller collection that can be processed using various analytics methods.