Business Intelligence: Data Mining, IoT, and EmIoT

Running head: BUSINESS INTELLIGENCE
Business Intelligence
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BUSINESS INTELLIGENCE
Table of Contents
1. Mining....................................................................................................................................2
Data Mining...........................................................................................................................2
Text Mining............................................................................................................................2
Web Mining...........................................................................................................................3
Social Mining.........................................................................................................................3
2. Internet of Things (IoT).........................................................................................................4
3. EmIoT and IoT.......................................................................................................................6

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BUSINESS INTELLIGENCE
1. Mining
Data Mining
The process of identifying patterns from large sets of data is commonly known as data
mining. Data mining can be conducted with all methods at the interaction of database
systems, machine learning and statistics (Witten, 2016). Some of the most notable uses of
data mining techniques are as follows:
 Business-market analysis: This is widely used in the e-commerce applications to
analyse customer purchase trends (Lee & Lee, 2016).
 Bio Informatics: The mining of biological data helps to extract crucial knowledge in
the field of biology, which can be applied in the fields of neuroscience, genetic
research and medicine.
 Customer-Relationship Management: CRM uses data mining facilities to collect and
analyse customer information. Data mining helps to analyse the gathered information
and concentrate on the appropriate factors that will help the concerned organization to
retain customers.
Text Mining
This is the process where massive chunks of unstructured text data is is explored and
analysed. Software are used to identify recognizable topics, patterns and concepts or
attributes in the respective collectives. This is commonly used in the following fields:
 Customer Care service: Text analysis techniques in text mining helps in the rapid and
automated response generation to customers, by gathering and reading through the
patterns of past customer-operator text chat responses. Automated text-message-