This chapter describes the three current fields of data analytics that are attracting a great deal of attention due to their wide application in different domains: text mining, social network analysis (SNA) and recommendation systems. Text mining is a very active area of data analytics. Text ...
Inaccurate data processing can have serious impacts on data output. The wrong data can lead companies to act on the wrong ideas and strategies. Data Architecture Data architecture is a structure that helps your team support your data strategy. It shows how your c...
Our algorithms can be extended to numerical attributes. The proposed approach is validated by extensive experiments and comparison with existing randomized response and generalization methods. The contributions of this paper include: • A general framework for data publication is proposed based on ...
In general, when data is processed quantitatively and qualitatively to generate some useful insights from it, the process is known as Data Analytics. There are many steps included from extracting data to categorizing it to finding some patterns, connections, and other information that may be an as...
A true data platform is end-to-end and can collect and analyze data from all sources, as we'll see. In this topic, there’s a lot of things to understand and consider. So, let’s take a deep look at data platforms, including the definition and related terms, the benefits and use...
Bringing structure to your data—general ‘housekeeping’, i.e. fixing typos or layout issues, which will help you map and manipulate your data more easily. Filling in major gaps—as you’re tidying up, you might notice that important data are missing. Once you’ve identified gaps, you can...
Design approaches developed around contextual knowledge and general practices lead to enhanced artefact design [47]. This study has used two sets of iterations to design and develop the BDAS as a predictive model based on existing approaches in literature: ML based predictive model; DL based ...
data analytics. This is followed by a general analysis and discussion on the impact of big data on agriculture. Introduction DA, (also called digital farming or smart farming)Footnote1[78,105,130], is a modern approach that uses digital and smart devices [sensors, cameras, satellite, drones,...
Hey UXer, it’s time to sharpen your design leadership skills.Learn to strategize, influence, and drive cultural changeeven with limited resources. Get your tickets now ↬ General resources:Google Analytics Help Centerandofficial blog. You may be interested in the following related posts: ...
1. The collected data was used to develop a quantitative data collection instrument explained in the next sub-section. 2.2. Quantitative analysis A questionnaire was developed to quantify the general levels of adoption of the AEC sector and of the specific use-cases identified in the qualitative ...