Dear Thomas,

Time division multiplexing (TDM) is a communications process that transmits two or more streaming digital signals over a common channel. In TDM, incoming signals are divided into equal fixed-length time slots. After multiplexing, these signals are transmitted over a shared medium and reassembled into their original format after de-multiplexing. Time slot selection is directly proportional to overall system efficiency.

Time division multiplexing (TDM) is also known as a digital circuit switched.

Thanks,

Sobhan

Dear Thomas,

Time division multiplexing (TDM) is a communications process that transmits two or more streaming digital signals over a common channel. In TDM, incoming signals are divided into equal fixed-length time slots. After multiplexing, these signals are transmitted over a shared medium and reassembled into their original format after de-multiplexing. Time slot selection is directly proportional to overall system efficiency.

Time division multiplexing (TDM) is also known as a digital circuit switched.

Thanks,

Sobhan

Thank you very much for your answer, Sobhan. I was referring to Text and Data Mining, I should have made it explicit in the question (I thought I did, but in fact I only used the acronym in there and the expression in the tags). But thank you very much anyway, now I know another meaning of TDM.

As data is increasing at a very rapid pace over the web, the importance of Data Mining and Text mining have significantly increased.

Data Mining is a process of analyzing the data sets of different categories, domains, etc to extract information from data and transform it into understandable structure for further use. Data mining make it possible for big organizations, agencies, websites to analyse the data related to business, sales, communication, news, and use the output to make decisions to increase their sales, users, effectiveness of their systems.

You should take a look at this link:

http://bigdata-madesimple.com/14-useful-applications-of-data-mining/

If we take a look at the applications of Text Mining we can count things like:

>> Sentiment analysis from social media platforms that can help realizing people's sentiment about a particular thing

>> Text categorization like identifying if the textual data is important for you or not like filtering particular news, emails, articles, etc

>> Text Clustering to organize the set of documents

>> Named Entity Recognition to extract the names from documents like extraction of names of persons, places, events from a document

>> document summarization to automatically summarize the documents

then there are many other things that are very helpful so text mining have a huge amount of applications and importance. you should take a look at this article:

http://www.expertsystem.com/10-text-mining-examples/

Dear Ahsan,

This is really interesting. Thank you very much.

Targeted advertising… do a google search :-)

Also, google stopped scanning your gmail for the purpose of personalised advertising last year.

Thank you, Mark. Very useful.

I wonder if anyone has an example of the type: "My lab/research group produced this results/products thanks to TDM. Without TDM this would not have been possible"?

Two possible examples on how to increase the legibility of privacy policy through TDM and NLP:

https://www.usableprivacy.org

https://pribot.org/polisis

example of legal interpretation

https://blog.harvardlawreview.org/corpus-linguistics-and-the-second-amendment/