Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Vivekanand Gopalkrishnan"'
Publikováno v:
IEEE Intelligent Systems. 29:52-59
Using Graham's rules on picking stocks has been proven to generate profits for value investors. The authors propose using 3D subspace clustering to generate rules to pick potential undervalued stocks; 3D subspace clustering is effective in handling h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37b811bd0365aa1485c9746de53a0673
https://doi.org/10.1109/mis.2012.24
https://doi.org/10.1109/mis.2012.24
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 7:1-29
Classification in Peer-to-Peer (P2P) networks is important to many real applications, such as distributed intrusion detection, distributed recommendation systems, and distributed antispam detection. However, it is very challenging to perform classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0e1885db670833ed5a3423c4c345d16
https://doi.org/10.1145/2541268.2541273
https://doi.org/10.1145/2541268.2541273
Autor:
David R. Hardoon, Vivekanand Gopalkrishnan, Ghim-Eng Yap, Suryani Lukman, Gao Cong, Kelvin Sim
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 25:1213-1226
Actionable 3D subspace clustering from real-world continuous-valued 3D (i.e., object-attribute-context) data promises tangible benefits such as discovery of biologically significant protein residues and profitable stocks, but existing algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08e2b4db6815c2b8e667c93d20e52834
https://doi.org/10.1109/tkde.2012.37
https://doi.org/10.1109/tkde.2012.37
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 7:1-38
Online portfolio selection has been attracting increasing attention from the data mining and machine learning communities. All existing online portfolio selection strategies focus on the first order information of a portfolio vector, though the secon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c66a3bb099db7230986fd79bb083bd6
https://doi.org/10.1145/2435209.2435213
https://doi.org/10.1145/2435209.2435213
Autor:
Indre Zliobaite, Steven C. H. Hoi, Hock Hee Ang, Mykola Pechenizkiy, Vivekanand Gopalkrishnan
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering, 25(10), 2343-2365. IEEE Computer Society
In a distributed computing environment, peers collaboratively learn to classify concepts of interest from each other. When external changes happen and their concepts drift, the peers should adapt to avoid increase in misclassification errors. The pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e32a741dacbf3852fe73ee6a88f0a142
https://doi.org/10.1109/tkde.2012.172
https://doi.org/10.1109/tkde.2012.172
Publikováno v:
Data Mining and Knowledge Discovery. 26:332-397
Subspace clustering finds sets of objects that are homogeneous in subspaces of high-dimensional datasets, and has been successfully applied in many domains. In recent years, a new breed of subspace clustering algorithms, which we denote as enhanced s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b727cdcb4746017dce394a5d2203fce
https://doi.org/10.1007/s10618-012-0258-x
https://doi.org/10.1007/s10618-012-0258-x
Publikováno v:
Expert Systems with Applications. 38:12035-12043
A good description of a class should be (reasonably) accurate and interpretable. Previous works address this class-description problem by either analyzing the correlation of each attribute with the class, or by producing rules as in building a classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19bbf090e4f03e0bf81b3ad4a5880d67
https://doi.org/10.1016/j.eswa.2011.01.133
https://doi.org/10.1016/j.eswa.2011.01.133
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 2:1-29
Machine learning techniques have been adopted to select portfolios from financial markets in some emerging intelligent business applications. In this article, we propose a novel learning-to-trade algorithm termed COR relation-driven N onparametric le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d04c19f8eb674f807fb8771f03231dc3
https://doi.org/10.1145/1961189.1961193
https://doi.org/10.1145/1961189.1961193
Publikováno v:
Proceedings of the VLDB Endowment. 3:1601-1604
As the amount of user generated content grows, personal information management has become a challenging problem. Several information management approaches, such as desktop search, document organization and (collaborative) document tagging have been p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f18e6fcf85ad30e0eb3d55d19a941f
https://doi.org/10.14778/1920841.1921049
https://doi.org/10.14778/1920841.1921049
Publikováno v:
Statistical Analysis and Data Mining. 2:255-273
Several real-world applications require mining of bicliques, as they represent correlated pairs of data clusters. However, the mining quality is adversely affected by missing and noisy data. Moreover, some applications only require strong interaction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57bd710b6b4f640b3d3421331ca5f709
https://doi.org/10.1002/sam.10051
https://doi.org/10.1002/sam.10051