E-raamat: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

"This publication is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, businessactivity monitoring, and text mining"--

Computer science, technology, math, and other scholars mainly from Asia offer 22 articles on data mining techniques and applications for business intelligence. They address business analytics with data mining and its applications, including the use of statistics, data classification, secure data analysis in clusters, data mining for secure online payment transactions, and spatial data mining; social media analytics techniques with sentiment analysis and its applications of business intelligence, including opinion mining, online product reviews, and the ethics of social media research; big data processes and its applications, with discussion of health care and marketing; and advanced decision models for business analytics, including e-commerce applications, artificial intelligence in stochastic multiple criteria decision making, a price competitive inventory model, the use of a fuzzy stochastic programming model, and the ranking of cloud services using opinion mining and multi-attribute decision making. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)