Get Wallpaper 1920x1080 Data Science Wallpaper"> Get Wallpaper 1920x1080 Data Analytics Wallpaper"> Get Wallpaper 1920x1080 Location data now becomes part of 'big data' in IBM's Cognos"> Get Wallpaper 1280x720 Feds are using big data analytics for cybersecurity, but is it">...
Nada Elgendy and Ahmed Elragal. Big Data Analytics: A Literature Review Paper. Advances in Data Mining. Applications and Theoretical Aspects, 8557:214-227, 2014. ISSN 0302-9743. doi: 10.1007/978-3-319-08976-8_16. URL http://link.springer. com/10.1007/978-3-319-08976-8{\_}16....
According to Application evolution, we discuss six types of big data application such as structured data analytics, Text analytics, Web analytics, Multimedia analytics, and Mobile analytics. We illustrate the techniques of analyzing the big data such as A/B testing, classification, crowdsourcing, and...
Use a survey or focus group and allow people to question the data, toolsets, etc. Once the root cause of why they don’t want to use it is understood, address it in a specific way to eliminate those concerns. Benchmarking usage and acceptance is the next critical step. The easiest ...
such as "Descriptive analytics" which answers the question of what happened; "Diagnostic analytics" which answers the question of why did it happen; "Predictive analytics" which predicts what will happen in the future; and "Prescriptive analytics" which prescribes what action should be taken, disc...
With OLAP tools, analysts start with a question or hypothesis and query the warehouse to prove or disprove their theory. With data mining tools, the work is shifted from the analyst to the computer. Data mining tools use a variety of techniques to solve a number of different problems, and ...
s security. In this paper, a data analytics model and self-organizing architecture for IoT networks are proposed to understand the different layers of technologies and processes. The proposed model is designed for smart environmental monitoring systems. This paper also proposes a security model based...
“Basically, this question can be split into two sections…” One devoted to using AI directly in data analysis, and the other focused on using AI to streamline additional processes related to the business domain of data analytics. In the first scenario, when you are doing data analysis, you...
Packed with insights on AI, Excel, and real-time analytics, this white paper highlights how interconnected data pipelines can streamline integration and enable scalable, future-proof architectures. These trends are tailored for developers and product owners, offering practical strategies to optimize data...
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a