But it is different in many important ways because it works with unstructured information and often involves models and technologies that are very different from those involved in data mining using structured data
Consider structured data
. Since databases have been a mainstay within large businesses for decades, the management of information stored in databases has evolved into a fairly exact science.
By not linking unstructured information into the more systematic monitoring and analysis of structured data
, the organization traps itself in slow, manual, and inconsistent workflows for what should be fast, routine responses.
With structured data
growing at 125 percent annually, according to Meta Group, slow retrieval of data can cost a company millions in revenue.
Yet it's safe to say that MIS reports available to claim executives are extracted exclusively from the structured data
fields that only comprise a sliver of the available information.
Princeton Softech's Active Archiving is a suite of products for structured data
. It works by encapsulating selected database tables and their relationships for movement to other storage media, which may include magnetic disk, tape, or specialized storage devices such as random array of inexpensive disk (RAID).
One is CTBase, a light-weight HBase client for structured data
. It can simplify HBase operations for structured data
Hadoop uses read-only flat files, which can make it very difficult to replicate the cross-table schema in structured data
Electronic medical records (EMR) systems today are optimized for structured data
(20 percent of the available data).
Their topics include creating information through analytics, data mining methods and the rise of big data, data management and the model creation process of structured data
for mining and analytics, streaming data in the age of big data, transforming unstructured data into useful information, and real-time wireless medical data acquisition for 21st-century healthcare and data mining challenges.
Treating the range of techniques developed for concept data analysis, this book covers the creation, maintenance, display, and manipulation of concept lattices, and describes application areas such as information retrieval and mining from text and web data, and rule mining from structured data
. Case studies are presented on exploring the ACM Digital Library using an interface that integrates multiple search functionalities, and mining web retrieval results through the system CREDO.
Clinical encounter forms guide documentation and capture structured data
to facilitate correct coding and outcomes reporting.