Online hot event discovery based on Association Link Network. (26th September 2014)
- Record Type:
- Journal Article
- Title:
- Online hot event discovery based on Association Link Network. (26th September 2014)
- Main Title:
- Online hot event discovery based on Association Link Network
- Authors:
- Liu, Yang
Luo, Xiangfeng
Xuan, Junyu
Orgun, Mehmet A.
Orgun, Atilla Elçi
Pieprzyk, Josef
Chefranov, Alexander
Shankaran, Rajan
Wang, Huaxiong
Zhuge, Hai - Abstract:
- <abstract abstract-type="main"> <title>Summary</title> <p>Online hot event discovery has become a flourishing frontier where online document streams are monitored to discover newly occurring events or assigned to previously detected events. However, hot events have the nature to evolve, and their inherent topically related words are also likely to evolve. It makes event discovery a challenging task for traditional‐mining approaches. Combining word association and semantic community, Association Link Network (ALN) organizes the loosely distributed associated resources. This paper presents an ALN‐based novel online hot event discovery approach. Technically, this approach is enacted around three stages. In the first stage, we extract significant features to represent the content of each document from the online document stream. During the second stage, we classify the online document stream into topically related detected events considering event evolution in the form of ALN. At the third stage, we create an ALN‐based event detection algorithm, which is used to timely discover newly occurring hot events. The online datasets used in our empirical studies are acquired from Baidu News, which spans a range of 1315 hot events and 236, 300 documents. Experimental results demonstrate the hot events discovery ability with respect to high accuracy, good scalability, and short runtime. Copyright © 2014 John Wiley & Sons, Ltd.</p> </abstract>
- Is Part Of:
- Concurrency and computation. Volume 27:Number 15(2015:Oct.)
- Journal:
- Concurrency and computation
- Issue:
- Volume 27:Number 15(2015:Oct.)
- Issue Display:
- Volume 27, Issue 15 (2015)
- Year:
- 2015
- Volume:
- 27
- Issue:
- 15
- Issue Sort Value:
- 2015-0027-0015-0000
- Page Start:
- 4001
- Page End:
- 4014
- Publication Date:
- 2014-09-26
- Subjects:
- Parallel processing (Electronic computers) -- Periodicals
Parallel computers -- Periodicals
004.35 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cpe.3374 ↗
- Languages:
- English
- ISSNs:
- 1532-0626
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3405.622000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4381.xml