Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Hossein Hamooni"'
Autor:
Hossein Hamooni, Himel Dev
Publikováno v:
DSAA
A payment card (such as debit or credit) is one of the most convenient payment methods for purchasing goods and services. Hundreds of millions of card transactions take place across the globe every day, generating a massive volume of transaction data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87fc0e8ed3cd15787509be8791656f6a
https://doi.org/10.1109/dsaa49011.2020.00059
https://doi.org/10.1109/dsaa49011.2020.00059
Autor:
Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Abdullah Mueen, Amanda Minnich, J. K. MacCarthy
Publikováno v:
Knowledge and Information Systems. 54:237-263
Dynamic time warping (DTW) distance has been effectively used in mining time series data in a multitude of domains. However, in its original formulation DTW is extremely inefficient in comparing long sparse time series, containing mostly zeros and so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d848a64cc56b8e7f40852756068ff23
https://doi.org/10.1007/s10115-017-1119-0
https://doi.org/10.1007/s10115-017-1119-0
Autor:
Abdullah Mueen, Hossein Hamooni
Publikováno v:
IEEE BigData
Matching a dictionary of patterns (i.e. subsequences) against a streaming time series to identify occurrences is one of the primary components of real-time monitoring systems such as earthquake monitoring, power consumption monitoring, and patient mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5574cf10b07fe434813eeee2aa08e6eb
https://doi.org/10.1109/bigdata.2018.8621995
https://doi.org/10.1109/bigdata.2018.8621995
Publikováno v:
Knowledge and Information Systems. 48:253-275
Phonemes are the smallest units of sound produced by a human being. Automatic classification of phonemes is a well-researched topic in linguistics due to its potential for robust speech recognition. With the recent advancement of phonetic segmentatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e81d13e389c9303eaa868e3b560a3fc5
https://doi.org/10.1007/s10115-015-0885-9
https://doi.org/10.1007/s10115-015-0885-9
Publikováno v:
WWW (Companion Volume)
Unusually high correlation in activities among users in social media is an indicator of bot behavior. We have developed a system, called DeBot, that identifies such bots in Twitter network. Our system reports and archives thousands of bot accounts ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8750acdb58b3da7145d80bf667d98e
https://doi.org/10.1145/3041021.3054733
https://doi.org/10.1145/3041021.3054733
Publikováno v:
WWW (Companion Volume)
Correlated or synchronized bots commonly exist in social media sites such as Twitter. Bots work towards gaining human followers, participating in campaigns, and engaging in unethical activities such as spamming and false click generation. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::225c7d7c303417aeac57787e0bd94e18
https://doi.org/10.1145/3041021.3051114
https://doi.org/10.1145/3041021.3051114
Publikováno v:
ICDM
We develop a warped correlation finder to identify correlated user accounts in social media websites such as Twitter. The key observation is that humans cannot be highly synchronous for a long duration, thus, highly synchronous user accounts are most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9b13b02e29ed3f718d222139b348959
https://doi.org/10.1109/icdm.2016.0096
https://doi.org/10.1109/icdm.2016.0096
Publikováno v:
CIKM
Modern engineering incorporates smart technologies in all aspects of our lives. Smart technologies are generating terabytes of log messages every day to report their status. It is crucial to analyze these log messages and present usable information (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cec3bd5d4c25e8c4a1eed4dd1029083
https://doi.org/10.1145/2983323.2983358
https://doi.org/10.1145/2983323.2983358
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478791
SocInfo (1)
SocInfo (1)
Social media sites (e.g. Twitter and Pinterest) allow users to change the name of their accounts. A change in the account name results in a change in the URL of the user’s homepage. We develop an algorithm that extracts such changes from streaming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58788ee5b25fa4ce3d18436b8d6d23e7
https://doi.org/10.1007/978-3-319-47880-7_4
https://doi.org/10.1007/978-3-319-47880-7_4
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478739
SocInfo (2)
SocInfo (2)
We develop a technique to identify abnormally correlated user accounts in Twitter, which are very unlikely to be human operated. This new approach of bot detection considers cross-correlating user activities and requires no labeled data, as opposed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04abfc50fd54a68b69bac9b704db7eea
https://doi.org/10.1007/978-3-319-47874-6_2
https://doi.org/10.1007/978-3-319-47874-6_2