Αποτελέσματα Αναζήτησης
Database Modeling and Design: Logical Design, 5th Edition. Toby J. Teorey, Sam S. Lightstone, Thomas P. Nadeau, H. V. Jagadish. Foundations of Multidimensional and Metric Data Structures. Joe Celko’s SQL for Smarties: Advanced SQL Programming, 4th Edition. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration.
Data are typically stored in a database environment and are large in scale. Data mining is also referred to as knowledge discovery in database (KDD). Business intelligence is the transformation of raw data into knowledge and insight for making better business decisions.
18 Νοε 2005 · An overview of a series of multiple criteria optimization-based data mining methods, which utilize multiple criteria programming (MCP) to solve data mining problems, and some research challenges and opportunities for the data mining community are outlined.
Chapter 5 introduces data mining, discussing the phases of a data mining process and their objectives. Chapter 6 describes the activities of data preparation for business intelligence and data mining; these include data validation, anomaly detection, data transformation and reduction.
This book provides an introduction to key concepts in data mining and business intelligence. It covers topics such as data exploration, preprocessing, classification, clustering, outlier analysis, frequent pattern mining, and applications of data mining and business intelligence.
4 Ιουν 2020 · Business intelligence includes tools and techniques for data gathering, analysis, and visualization for helping with executive decision making in any industry, and data mining includes statistical and machine-learning techniques to build decision-making models from raw data.
1 Ιαν 2016 · The objective of this paper is to present a review literature on what are impacts of Data Mining (DM) in Business Intelligence (BI). The paper highlights various features of DM. It involves...
