For several years now, scientists have been proposing numerous models for defining
anything" as a service (aaS)", including discussions of products, processes, data & …

Though automated statistics has started gaining some momentum in the field of data
analysis, it is not unified and very slow with large datasets. Due to computing limitations or …

Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to
discover knowledge in Big Data. Previously, data stored in data warehouses follow some …

Con el avance de la era de la información y el conocimiento, se han diseñado nuevas
técnicas que permiten el desarrollo, creación y evolución de estrategias, instrumentos y …

Climate observations and model simulations produce vast amounts of data. The
unprecedented data volume and the complexity of geospatial statistics and analysis requires …

Numerous service models have been proposed in the form of” as a Service” or” aaS” in the
past. This is especially eminent in the era of the Cloud under the term of anything as a …

This paper proposes a novel method for superheat and capacity control of refrigeration
systems. A new low order nonlinear model of the evaporator is developed and used in a …

Unstructured data mining has become topical recently due to the availability of high-
dimensional and voluminous digital content (known as" Big Data") across the enterprise …

Big Data is too large to be handled by traditional methods for analysis. It is a new ubiquitous
term, which describes huge amount of data. Dealing with “Variety”, one of the five …

Currently big data is becoming the worldwide focus of attention, and using machine learning
techniques to obtain valuable information from the massive data of complex structures has …