Data analytics is an essential element for success in modern enterprises. Nonetheless, to effectively design and implement analytics systems is a non-trivial task. This paper proposes a modeling framework (a set of metamodels and a set of design catalogues) for requirements analysis of data analytics systems. It consists of three complementary modeling views: business view, analytics design vie...

Currently, the world is witnessing a mounting avalanche of data due to the increasing number of mobile network subscribers, Internet websites, and online services. This trend is continuing to develop in a quick and diverse manner in the form of big data. Big data analytics can process large amounts of raw data and extract useful, smaller-sized information, which can be used by different parties...

The identification of high-risk patients is a critical component in improving patient outcomes and managing costs. This paper describes the Intelligent Care Delivery Analytics platform (ICDA), a system which enables risk assessment analytics that process large collections of dynamic electronic medical data to identify at-risk patients. ICDA works by ingesting large volumes of data into a common...

Privacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value data and individual privacy led to emergence privacy-preserving mining analytics approaches crucial area research. An overview major ideas, methods, developments in context is given this abstract. that protects tries glean useful insights from huge databases while shieldi...

Because of the massive utilization world wide web and drastic use electronic gadgets to access online world, there is an exponential growth in information produced by these hardware gadgets. The data different sources, such as smart transportation, healthcare, e-commerce, are large, complex, heterogeneous. Therefore, storing querying this data, coined "Big Data," challenging. This paper compare...

1. The challenge of data analytics The recent decade has observed a tremendous advance in data analytics. Powered by sophisticated computational techniques and powerful software tools, users interact with data analytics systems to sliceand-dice data and integrate results into their sense-making or decision-making process. Examples are abundant: scientists constructing theory from experimental o...

Big data analytics has gathered immense research attention lately because of its ability to harness useful information from heaps of data. Cloud computing has been adjudged as one of the best infrastructural solutions for implementation of big data analytics. This research paper proposes a five-layer model for cloud-based big data analytics that uses dew computing and edge computing concepts. B...

OBJECTIVE To describe the promise and potential of big data analytics in healthcare. METHODS The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. RESULTS The paper provides a broad overview...