Bøger af CAMILA THOMPSON

A database refers to systematic collection of data which is stored and can be accessed electronically. The software system that allows users to create, define and maintain this database is known as database management system. It collectively defines database, database model and database management system. It is used to manage internal operations of organizations and determine online interactions with suppliers and customers. They are categorized on the basis of the database model they support, the types of systems they run on, the language used to access it and on their internal engineering. The different types of databases are in-memory database, cloud database, deductive database, document-oriented database, federated database system, active database and data warehouses. Database systems are used in areas such as flight reservation systems, content management systems, library systems and computerized parts inventory systems. The topics covered in this extensive book deal with the core concepts related to database systems. Such selected concepts that redefine this discipline have been presented herein. The book is appropriate for those seeking detailed information in this area.

Data mining is a process which deals with the discovery of patterns in large data sets. It applies methods from the fields of statistics, database systems and machine learning. Data mining aims to transform the information derived from a data set into a comprehensible structure for further use. Data mining also includes the data management aspects, complexity considerations, visualization, online updating, data pre-processing, model and inference considerations, and post-processing of discovered structures. It uses statistical models and machine-learning to uncover hidden patterns in a large volume of data. There are numerous fields where it is applied such as business, medicine, surveillance and science. This book aims to shed light on some of the unexplored aspects of data mining. Such selected concepts that redefine data mining have been presented herein. For someone with an interest and eye for detail, this book covers the most significant topics in this field.