图书名称： Pocket Data Mining: Big Data on Small Devices (Studies in Big Data)Hardcover – October 28, 2013 Volumes 2
作者： Mohamed Medhat Gaber (Author), Frederic Stahl  (Author), Joao Bártolo Gomes  (Author)
出版社：Springer International Publishing
页数：314
出版时间：2013                           
语言：English
格式：pdf
内容简介：



Thanks to continuingadvances in mobile computingtechnology,it has become pos-
sible to perform complex data processing on-board small handheld devices. It has
taken over a decade from moving to handheld devices that can place and make
calls, send short message, organize the calendar and save some data, to handheld
devices that are as powerful as our ten year old computer servers. It has never been
a better time to exploit the increasing computational power of small handheld de-
vices like smartphones and tablet computers. The market studies have shown that
tablet computers will soon replace our laptop computers. In a recent market study
in the USA, it has been found that 46% of Americans think that tablets will replace
laptops 1 .
Among the complex processing tasks that our small devices became capable of
knowledge discovery and data mining. Historically, the two terms knowledge dis-
covery and data mining were different [51]. Data mining used to be the main stage
of the iterative process of knowledge discovery , as shown in Figure 1.1. However,
the two terms are used interchangeably nowadays. Data mining could be defined as
the nontrivial process of extracting interesting knowledge structures from typically
large data repositories. From this definition, typical data processing tasks from stor-
age to retrieval are not considered to be data mining. Furthermore, the knowledge
structures to be mined need to be of interest to the user. Knowledge structures could
be typically subdividedto patterns and data models. Finally, data mining techniques
are typically applied on large data repositories like very large databases and data
warehouses.