Skip to main content

Contemporary Applications of Big Data in Society

 One way Big Data is used in society is through the government, the US government use ID photos, fingerprints, phone activity etc which they store using big data. The US immigration and Customs Enforcement has used facial recognition technology to go through drivers licence photo databases to spot any illegal immigrants with the hope of finding them and having them deported which is put through large amounts of data to track down on the people they’re searching for. 

Big data is used for things such as video games  one way is to improve them so that more people can enjoy them ‘Activision Blizzard’ uses big data one example is the business uses machine learning to detect power boosting to track key indicators for increasing quality of game time. 

The rise of social media and networks meant that the way that people socialise has drastically changed because of this relationships have also changed and developed into the digital age some examples of this are

‘Tinder’ uses an algorithm which boosts the probability of having a match. Originally they used an attractiveness ranking system but now they have changed it to show people who are active users, people near each other and also people who are traditionally each others ‘types’ based on previous people they’ve swiped right on before. 

‘Facebook’ uses this section on their app called “people you may know” which is based on someone’s friend list. It shows people who your friends are friends with but also shows people who worked at the same place you worked or the same school you attended, places they’ve been tagged in that you’ve also been etc which helps people reconnect with people they've lost contact with over time such as someone you went to school with. 

https://builtin.com/data-science/data-science-applications-examples


Comments

Post a Comment

Popular posts from this blog

Types of Visualisation

Big data visualisation refers to the techniques and tools used to present the large and complex data into such a way that it’s easy to read and understand. Some examples include: Heat maps which is used to show the amount of data points or activities across different regions and categories.   Network diagrams helps to visualise relationships and interactions in data for example social connections/data flows etc.  Geospatial maps show the mass amount of geographical data with traditional data sets to provide spread apart analysis.  Stream graphs show trends and patterns across loads of different categories and regions.   Same for the parallel coordinates which also show patterns but also correlations across numerous different variable.  Chord diagrams help to identify clusters, patterns, trends etc to help with making intense decisions and also helps with analysis etc.  https://www.geeksforgeeks.org/what-is-big-data-visualization/#what-is-big-data-visualizat...
Post a Comment
Read more

Data Mining Methods

Data mining is the process of using statistical analysis and machine learning to reveal hidden patterns or odd things in large datasets because of this you can help make important decisions and predict what’s going to happen. it’s where you take data such as structured data, an image, video, text etc and train it, deploy and serve it then you can get actionable insights and application events.  The techniques are classification which is used to organise data into different classes or categories so it trains a model on labelled data and uses it to predict the class. Regression is used to predict numbers or continuous values based on relationships so it finds the function or model that best fits the data to make accurate predictions.  Clustering is used to group similar data uncover patterns or structures in the data without any classes or labels.  There is also association rule, anomaly detention, time series analysis, neural networks, decision trees, ensemble methods and ...
Post a Comment
Read more

Types of Problem suited to Big Data Analysis

 One of the greatest challenges is storage with insane amounts of data generated everyday. Also because Unstructured data can’t be stored in traditional databases.  Processing big data is also a problem which refers to reading, analysing etc or useful information from raw information because of this the changing from all this data to finding all the useful parts is very challenging.  Security is another problem because non-encrypted info is more likely to be stolen or damaged which makes it such a large concern for organisations.   https://www.simplilearn.com/challenges-of-big-data-article#:~:text=Storage,be%20stored%20in%20traditional%20databases.
Post a Comment
Read more