… background nor understand the semantics of a specific data cleaning … existing systems and
support data cleaning at a large scale, we design and implement a new system called Cleanix…

… this paper will identify the data cleansing challenge in big data. … Cleanix; a parallel big
data cleansing system aims to solve the issue related to the volume and variety of big data. Four …

… (2016) presented a parallel big data cleansing system, named Cleanix, to handle mixed
errors. Cleanix supports four types of data cleansing tasks, namely detection and correction of …

… systems and support data cleaning at a very large scale, we design and implement a new
system called Cleanix. We … purpose data parallel execution engine, with our user-defined data …

… claiming at undertaking data cleansing for Big Data, and therefore … Cleanix’ is developed
with the ‘Hyracks’ execution engine, which is a data-parallel execution engine for Big Data …

… development of big data solutions is progressing fast, we have updated the case studies of
big data solutions to … Generally, the data processing layer performs parallel computing, data …

… , and parallel processing of very large volumes of data. In [18]… and transformation tools for
big data. In the following we discuss … compared to Cleanix since the data cleaning workflow is …

… correlation among attributes using the machine learning with huge data scales, but also
greater … on how to reduce the complexity of the algorithm and improve the efficiency in big data. …

… -intensive enterprises and may cause huge economic losses… data cleaning to solve the data
quality problems accompanying big data and clean “dirty data” in datasets How to solve data …

… An opportunity exists to develop an end-to-end industrial analytics pipeline that can handle
big data from various data sources in parallel and find highly correlated knowledge patterns …