Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Barry L. Drake"'
Publikováno v:
IEEE transactions on visualization and computer graphics. 27(9)
Human-in-the-loop topic modeling allows users to explore and steer the process to produce better quality topics that align with their needs. When integrated into visual analytic systems, many existing automated topic modeling algorithms are given int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::425f6e7f198d2f249e9d60210dbe098c
https://pubmed.ncbi.nlm.nih.gov/32191890
https://pubmed.ncbi.nlm.nih.gov/32191890
Publikováno v:
Journal of Global Optimization. 74:861-877
We present a hybrid method for latent information discovery on the data sets containing both text content and connection structure based on constrained low rank approximation. The new method jointly optimizes the Nonnegative Matrix Factorization (NMF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1dddca6074b05a61e90fbbcb54ab889
https://doi.org/10.1007/s10898-017-0578-x
https://doi.org/10.1007/s10898-017-0578-x
Publikováno v:
Journal of Global Optimization. 68:777-798
The importance of unsupervised clustering and topic modeling is well recognized with ever-increasing volumes of text data available from numerous sources. Nonnegative matrix factorization (NMF) has proven to be a successful method for cluster and top
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e10e450f73dc16e65adbcbf58d187999
https://doi.org/10.1007/s10898-017-0515-z
https://doi.org/10.1007/s10898-017-0515-z
Publikováno v:
VAST
Topic modeling is commonly used to analyze and understand large document collections. However, in practice, users want to focus on specific aspects or "targets" rather than the entire corpus. For example, given a large collection of documents, users
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a8ea2557efafd2936e6248a2bdd42e5
Autor:
Nathan Kronenfeld, Scott Langevin, Jinho Choi, Christopher Bethune, Haesun Park, Philippe Horne, Barry L. Drake, Ramakrishnan Kannan, Jaegul Choo, Minsuk Choi, Sungbok Shin
Publikováno v:
CHI
Detecting anomalous events of a particular area in a timely manner is an important task. Geo-tagged social media data are useful resource for this task; however, the abundance of everyday language in them makes this task still challenging. To address
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93cd9c16604321925798009fe656a98
https://doi.org/10.1145/3173574.3174157
https://doi.org/10.1145/3173574.3174157
Autor:
Ramakrishnan Kannan, Minsuk Choi, Nathan Kronenfeld, Christopher Bethune, Dear Sungbok Shin, Scott Langevin, Haesun Park, Jinho Choi, Barry L. Drake, Jaegul Choo, Philippe Horne
Publikováno v:
ICDM
Understanding newly emerging events or topics associated with a particular region of a given day can provide deep insight on the critical events occurring in highly evolving metropolitan cities. We propose herein a novel topic modeling approach on te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::223bf1fd4ea9b49a043dae7a111ad1a4
https://doi.org/10.1109/icdm.2017.53
https://doi.org/10.1109/icdm.2017.53
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319605845
AHFE (9)
AHFE (9)
Event detection is a very important problem across many domains and is a broadly applicable encompassing many disciplines within engineering systems. In this paper, we focus on improving the user’s ability to quickly identify threat events such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5d67f0c076451a43dda1fec1ab2d67
https://doi.org/10.1007/978-3-319-60585-2_16
https://doi.org/10.1007/978-3-319-60585-2_16
Publikováno v:
Computational Social Networks
Computational Social Networks, Vol 4, Iss 1, Pp 1-26 (2017)
Computational Social Networks, Vol 4, Iss 1, Pp 1-26 (2017)
Background Community discovery is an important task for revealing structures in large networks. The massive size of contemporary social networks poses a tremendous challenge to the scalability of traditional graph clustering algorithms and the evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d53f88db05e199a7dfdbcbfb33d1430
https://pubmed.ncbi.nlm.nih.gov/29266136
https://pubmed.ncbi.nlm.nih.gov/29266136
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319419312
Malware detection is a very important cyber security problem as it compromises computer system integrity and allows the collection of sensitive information or the insertion of disruptive malicious, and intrusive software. Malware is within the domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd087b8cf2235d118d17e90a0e4ec642
https://doi.org/10.1007/978-3-319-41932-9_34
https://doi.org/10.1007/978-3-319-41932-9_34
Publikováno v:
Pattern Recognition. 40:2939-2945
Linear discriminant analysis (LDA) has been widely used for dimension reduction of data sets with multiple classes. The LDA has been recently extended to various generalized LDA methods that are applicable regardless of the relative sizes between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b88d96f58578d56cc9293c61758a8735
https://doi.org/10.1016/j.patcog.2007.03.002
https://doi.org/10.1016/j.patcog.2007.03.002