We introduce a generator for data containing subspace clusters which is accurately tunable
and adjustable to the needs of developers. It is online available and allows to give a …

Bilişim teknolojilerinin gelişmesiyle, veri üretim teknikleri ve toplanan veri hacmi artmıştır.
Akıllı şehir uygulamaları ile sensörler, IoT, internet, giyilebilir teknolojiler gibi farklı veri …

With the unpredictable development of technology, a wide variety of data is produced in a
very short time from countless sources. Industry 4.0 is a revolution in new technology for the …

Different from the traditional benchmarking methodology that creates a new benchmark or
proxy for every possible workload, this paper presents a scalable big data benchmarking …

Over the past few years, cloud file systems such as Google File System (GFS) and Hadoop
Distributed File System (HDFS) have received a lot of research efforts to optimize their …

The work of this thesis presents the development of algorithms for document classification
on the one hand, or complex network analysis on the other hand, based on pretopology, a …

Distributed dataflow systems have been developed to help users analyze and process large
datasets. While they make it easier for users to develop massively-parallel programs, users …

Due to the ever increasing data stored in databases, it is important to develop software
which can generate large numbers of test data that reflect the properties of a given sample …

The increasing demand for big data processing leads to commercial off-the-shelf (COTS)
and cloud-based big data analytics services. Giant cloud service vendors provide …

Although big data systems are in widespread use and there have much research efforts for
improving big data systems performance, efficiently analysing and diagnosing performance …