Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Geoff Jiang"'
Publikováno v:
KDD
Sequential pattern analysis aims at finding statistically relevant temporal structures where the values are delivered in a sequence. With the growing complexity of real-world dynamic scenarios, more and more symbols are often needed to encode the seq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40b2304cd5ee176474d2478aa2f4d30
https://doi.org/10.1109/tkde.2015.2468715
https://doi.org/10.1109/tkde.2015.2468715
Publikováno v:
ICDM
An accurate and automated identification of operational behavior switching is critical to the autonomic management of complex systems. In this paper, we collect sensor readings from those systems, which are treated as time series, and propose a solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e96cec05fba26a64389aad45364c6a8
https://doi.org/10.1109/icdm.2015.57
https://doi.org/10.1109/icdm.2015.57
Publikováno v:
DSN
This paper proposes a novel framework to automatically pinpoint suspicious sensors that lead to the quality change in physical systems such as manufacture plants. Our framework treats sensor readings as time series, and contains three main stages: ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::729558864184f92c7252248809ba358a
https://doi.org/10.1109/dsn.2015.25
https://doi.org/10.1109/dsn.2015.25
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319235240
ECML/PKDD (2)
ECML/PKDD (2)
Sparse coding plays a key role in high dimensional data analysis. One critical challenge of sparse coding is to design a dictionary that is both adaptive to the training data and generalizable to unseen data of same type. In this paper, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b7cf6b05d76d0f34a462f651e2bd7c
https://doi.org/10.1007/978-3-319-23525-7_42
https://doi.org/10.1007/978-3-319-23525-7_42
Publikováno v:
SoCC
Performance bugs which manifest in a production cloud computing infrastructure are notoriously difficult to diagnose because of both the difficulty of reproducing those bugs and the lack of debugging information. In this paper, we present PerfScope,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb0b8ba2898547a5503c44181b949e74
https://doi.org/10.1145/2670979.2670987
https://doi.org/10.1145/2670979.2670987