Big Data Mining: Tools & Algorithms

Abstract

We are now in Big Data era, and there is a growing demand for tools which can process and analyze it. Big data analytics deals with extracting valuable information from that complex data which can’t be handled by traditional data mining tools. This paper surveys the available tools which can handle large volumes of data as well as evolving data streams. The data mining tools and algorithms which can handle big data have also been summarized, and one of the tools has been used for mining of large datasets using distributed algorithms.

Twitter Sentiment Analysis Approaches: A Survey

“…The challenges related to big data provide a chance to understand the data patterns and helps in prediction of events and results. Hence, there is a growing demand for tools which can process and analyze big data [7]. In this regards, twitter produces humungous amount of data in a daily basis.…”

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“…After its emergence in the early 1990s [2], business intelligence was the subject of a series of researches that dealt with various issues related to: data warehousing, the integration of heterogeneous data [3], data mining techniques [4], On-line Analytical Processing (OLAP), etc. Moreover, particular attention was paid to the issue of data warehouse design and the automation of this step given its complexity and importance for all other steps of the decision chain.…”