With tremendous growing interests in Big Data, the performance improvement of Big Data
systems becomes more and more important. Among many steps, the first one is to analyze …

Streaming data refers to the data that is sent to a cloud or a processing centre in real time.
Even though we have limited exposure to such applications that can process data streams …

In the dynamic realm of big data processing, conquering the challenges imposed by
highdimensional datasets is imperative. This paper introduces a groundbreaking …

The growing popularity of online social networks has taken big data analytics into uncharted
territories. Newly developed platforms and analytics in these environments are in dire need …

The paradigm of big data is characterized by the need to collect and process data sets of
great volume, arriving at the systems with great velocity, in a variety of formats. Spark is a …

The development of scalable, representative, and widely adopted benchmarks for graph
data systems have been a question for which answers has been sought for decades. We …

This dissertation researched topics in the financial analysis of publicly traded companies.
The opportunity for this dissertation was to address the potential of increasing value for …

Though the big data benchmark suites like BigDataBench and CloudSuite have been used
in architecture and system researches, we have not yet answered the fundamental issue …

Accurate conceptual model is the foundation of data warehouse building. Studies show that
one of the main reasons why a data warehouse project ends up failure is that the modeling …

Fake file systems are used in the field of cyber deception to bait intruders and fool forensic
investigators. File system researchers also frequently generate their own synthetic document …