Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
Big data analytics refers to the strategy of analyzing large volumes of data, or big data. Big data are gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. The aim in analyzing all these data is to uncover patterns and connections that might otherwise be invisible, and that might provide valuable insights about the users who created it. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle.
Data-driven and knowledge driven approaches and techniques have been widely used in decision making, and they are increasingly attracting great attention due to their importance and effectiveness in addressing uncertainty and incompleteness. The information explosion via the spread of digital technologies impacts the ways we can study and understand the dynamics of socio-economic-political systems by increasing the variety, availability, and complexity of the data available to both qualitative and quantitative research scientists. These new information sources can importantly also support integrated approaches that can be more effective than either pure approach.
INFUS 2019 on intelligence and fuzzy systems with applications provides an international forum that brings together those actively involved in areas of interest to Data Science and Knowledge Engineering with their applications in decision making problems under uncertainty and incompleteness to support sensible decision making in different areas. The conference will feature plenary talks given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. INFUS 2019 invites submissions related to all aspects of intelligent and fuzzy systems, specially within the research fields, which can be theoretical formalisms, methodologies; algorithms investigation, survey or practical applications.