The data re-identification is a process that matches anonymous data with the available auxiliary data or information. This practice is helpful to find out the individual whom this data belongs to.
The text analytics is basically the process of the application of linguistic, machine learning, and statistical techniques on the text-based sources. The text analytics is used to derive an insight or meaning from the text data by application of these techniques.
The data for which structure can’t be defined is known as unstructured data. It becomes difficult to process and manage unstructured data. The common examples of unstructured data are the text entered in email messages and data sources with texts, images, and videos.
The data that can be created, stored, processed, analyzed, and visualized instantly i.e. in milliseconds, is known as real-time data.
This big data term basically defines the value of the available data. The collected and stored data may be valuable for the societies, customers, and organizations. It is one of the important big data terms as big data is meant for big businesses and the businesses will get some value i.e. benefits from the big […]
It is the big data term that defines the data used to describe an object along with its properties. The object described by reference data may be virtual or physical in nature.
This big data term is related to the total available amount of the data. The data may range from megabytes to brontobytes.
A process to classify or label the identified pattern in the process of machine learning is known as pattern recognition.
The process of breaking an analytical problem into small partitions and then running analysis algorithms on each of the partitions simultaneously is known as parallel data analysis. This type of data analysis can be run either on the different systems or on the same system.