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Toward Effective Knowledge Discovery...

Slutsky, Anton.

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Toward Effective Knowledge Discovery in Social Media Streams.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Toward Effective Knowledge Discovery in Social Media Streams./
作者:	Slutsky, Anton.
面頁冊數:	114 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.
Contained By:	Dissertation Abstracts International76-10A(E).
標題:	Information science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3706947
ISBN:	9781321812008

Toward Effective Knowledge Discovery in Social Media Streams.
Slutsky, Anton.

Toward Effective Knowledge Discovery in Social Media Streams. - 114 p.

Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.

Thesis (Ph.D.)--Drexel University, 2015.

The last few decades have seen an unprecedented growth in the amount of new data. New computing and communications resources, such as cloud data platforms and mo- bile devices have enabled individuals to contribute new ideas, share points of view and exchange newsworthy bits with each other at a previously unfathomable rate. While there are many ways a modern person can communicate digitally with others, social media outlets, such as Twitter or Facebook have been occupying much of the focus of inter-person social networking in recent years.

ISBN: 9781321812008Subjects--Topical Terms:

554358
Information science.

Toward Effective Knowledge Discovery in Social Media Streams.
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245 1 0 $a Toward Effective Knowledge Discovery in Social Media Streams.
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500 $a Source: Dissertation Abstracts International, Volume: 76-10(E), Section: A.
500 $a Advisers: Xiaohua Hu; Yuan An.
502 $a Thesis (Ph.D.)--Drexel University, 2015.
520 $a The last few decades have seen an unprecedented growth in the amount of new data. New computing and communications resources, such as cloud data platforms and mo- bile devices have enabled individuals to contribute new ideas, share points of view and exchange newsworthy bits with each other at a previously unfathomable rate. While there are many ways a modern person can communicate digitally with others, social media outlets, such as Twitter or Facebook have been occupying much of the focus of inter-person social networking in recent years.
520 $a The millions of pieces of content published on social media sites have been both a blessing and a curse for those trying to make sense of the discourse. On one hand, the sheer amount of easily available, real time, contextually relevant content has been a cause of much excitement in academia and the industry. On the other hand, however, the amount of new diverse content that is being continuously published on social sites makes it difficult for researchers and industry participants to effectively grasp.
520 $a Therefore, the goal of this thesis is to discover a set of approaches and techniques that would help enable data miners to quickly develop intuitions regarding the happenings in the social media space. To that aim, I concentrate on effectively visualizing social media streams as hierarchical structures, as such structures have been shown to be useful in human sense making.
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