Fact mining has emerged as one of the most promising information discovery strategies in
tremendous and complex databases. The tourism quarter advantages highly from records …

Application of five implementations of three data mining classification techniques was
experimented for extracting important insights from tourism data. The aim was to find out the …

Business intelligence is a set of tools, technologies, and operations that enable a company
to collect and present valuable data for a tourism organization in dashboards or reports with …

Everyday, millions of people travel around the globe for business, vacations, sightseeing, or
other reasons. An astronomical amount of money is spent on tickets, accommodations, food …

The objective of this chapter is to address the above deficiencies in tourism by presenting
the concept of the tourism knowledge destination–a specific knowledge management …

Some people say that “success or failure often depends not only on how well you are able to
collect data but also on how well you are able to convert them into knowledge that will help …

Data Mining may be described as the process of analyzing typically huge data sets to survey
and find out earlier unidentified prototypes, styles and relationships to produce information …

Information and communication technologies (ICT) are widely adopted in the tourism
domain and, thus, information on nearly all tourism transactions, customer needs and …

Chahal and Gulia (2016) have referred that big data analytics indicates to the process of
examining huge number of information or big data. The big data is gathered from huge set of …

The book comprises 26 chapters, which are organized into four main parts. The chapters in
this book highlight up-to-date information on the application of data science to the tourism …