In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
The text simplifies the understanding of the concepts through exercises and practical examples.
"The goal of this survey was to determine the extent to which data mining technology is being used by ARL member institutions, researchers, libraries and and administrations. The survey also...
This Book Is Mainly Intended For It Students And Professionals To Learn Or Implement Data Warehousing Technologies.
Data. Privacy. S. S Secure Computation for Privacy Preserving Data Mining S S. Shuguo Han Nanyang Technological University, ... It has been widely acknowledged that algorithms based on secure multi-party computation are able to achieve ...
This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining. It shows how these technologies can work together...
Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing.
This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges.
This book has numerous features that make it a winner, The order of topics is very logical, The choice of topics is quite appropriate for a comprehensive introductory book.
Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data ...
REFERENCES Agard , B. , Morency , C. , Trépanier , M. ( 2006 ) Mining public transport user behaviour from smart card data , 12th IFAC Symposium on Information Control Problems in Manufacturing – INCOM 2006 , Saint - Etienne , France ...