Mining Big Data and Streams

Abstract

Mining big data is getting a lot of attention currently because the businesses need more complex information in order to increase their revenue and gain competitive advantage. Therefore, mining the huge amount of data as well as mining real-time data needs to be done by new data mining techniques/approaches. This chapter will discuss big data volume, variety and velocity, data mining techniques and open source tools for handling very large datasets. Moreover, the chapter will focus on two industrial areas telecommunications and healthcare and lessons learned from them.

Key Terms in this Chapter

Data Stream: A continuous flow of data.

Mining Data Stream: The ability to extract valuable information from large data streams.

Big Data: The datasets that are of large size and have a greater complexity.

Data Mining: The process of searching large volumes of data automatically for patterns.