Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Kevin Chiew"'
Publikováno v:
AAAI
In the era of big data, rare category data examples are often of key importance despite their scarcity, e.g., rare bird audio is usually more valuable than common bird audio. However, existing efforts on rare category mining consider only the statist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2feb516fbff48f80aeb3b3add8ab10ba
https://doi.org/10.1609/aaai.v34i04.5935
https://doi.org/10.1609/aaai.v34i04.5935
Publikováno v:
Expert Systems with Applications. 114:503-515
Starting from a few labelled data examples as the seeds, rare category exploration (RCE) aims to find out the target rare category hidden in the given dataset. However, the performance of conventional RCE approaches is very sensitive to noisy labels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf638c166671f73519172a8f87c20946
https://doi.org/10.1016/j.eswa.2018.07.050
https://doi.org/10.1016/j.eswa.2018.07.050
Publikováno v:
Journal of Intelligent Information Systems. 51:1-22
Local community detection (LCD for short) aims at finding a community structure in a network starting from a seed (i.e., a “local” starting vertex). In a process of LCD, local community metrics are crucial since they serve as the measurements for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::206ee6654c6d32952b229921512eaf5d
https://doi.org/10.1007/s10844-017-0480-5
https://doi.org/10.1007/s10844-017-0480-5
Publikováno v:
Microprocessors and Microsystems. 52:365-380
The Non-Affinity Aware Grouping based resource Allocation (NAGA) method toward the General VMPlacement (GP) problem enables (1) some VMs to be co-located onto the same PM while the VMs are required to be placed onto distinct PMs; and (2) some VMs to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247d7541f698ec9aa3026a969ec48958
https://doi.org/10.1016/j.micpro.2016.12.006
https://doi.org/10.1016/j.micpro.2016.12.006
Publikováno v:
Expert Systems with Applications. 63:173-186
We propose a novel approach RCEWA for RCE which achieves a linear time complexity.We provide theoretical proofs for the effectiveness of using wavelet analysis for RCE.Experiments show that RCEWA outperforms the existing algorithms w.r.t. F-score. Ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::754cbb12cb69997b72b5dcb408c1a149
https://doi.org/10.1016/j.eswa.2016.06.033
https://doi.org/10.1016/j.eswa.2016.06.033
Publikováno v:
Journal of Intelligent Information Systems. 47:403-425
Crowdsourcing services have been proven efficient in collecting large amount of labeled data for supervised learning tasks. However, the low cost of crowd workers leads to unreliable labels, a new problem for learning a reliable classifier. Various m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dbe01a9ec11895754762ac11fbea886
https://doi.org/10.1007/s10844-015-0371-6
https://doi.org/10.1007/s10844-015-0371-6
Publikováno v:
Expert Systems with Applications. 41:7691-7706
Identifying statistically significant anomalies in an unlabeled data set is of key importance in many applications such as financial security and remote sensing. Rare category detection (RCD) helps address this issue by passing candidate data example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e35068dfc6e2e2cec4e16a1bff4287a
https://doi.org/10.1016/j.eswa.2014.06.026
https://doi.org/10.1016/j.eswa.2014.06.026
Publikováno v:
Expert Systems with Applications. 41:5689-5701
Poly-relational networks such as social networks are prevalent in the real world. The existing research on poly-relational networks focuses on community detection, aiming to find a global partition of nodes across relations. However, in some real cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2769b6dad2758e190462658baedba23
https://doi.org/10.1016/j.eswa.2014.04.001
https://doi.org/10.1016/j.eswa.2014.04.001
Publikováno v:
Expert Systems with Applications. 41:4197-4210
Rare category discovery aims at identifying unlabeled data examples of rare categories in a given data set. The existing approaches to rare category discovery often need a certain number of labeled data examples as the training set, which are usually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d24501c4e23d692a9f5d9b4273cdcf3
https://doi.org/10.1016/j.eswa.2013.12.039
https://doi.org/10.1016/j.eswa.2013.12.039
Publikováno v:
Journal of Intelligent Information Systems. 42:485-505
Spatial co-location pattern mining discovers the subsets of features of which the events are frequently located together in geographic space. The current research on this topic adopts a distance threshold that has limitations in spatial data sets wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10de4d23f925f1f89e589ca7910cdbb5
https://doi.org/10.1007/s10844-013-0280-5
https://doi.org/10.1007/s10844-013-0280-5