Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Hock Hee Ang"'
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:
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:
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
Autor:
Hock Hee Ang
In recent years, the popularity of Peer-to-Peer (P2P) networks has increased exponentially, owing to the huge amount of usable resources pooled together by the connected peers. Consequently, due to the huge amount of data and computing resources avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8877b2f4831d48d11cf07dc00fd44afc
https://hdl.handle.net/10356/62190
https://hdl.handle.net/10356/62190
Publikováno v:
ICDM Workshops
The promise of distributed classification is to improve the classification accuracy of peers on their respective local data, using the knowledge of other peers in the distributed network. Though in reality, data across peers may be drastically differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a42fe9d0d6fc68de8fe104cbfd307b42
https://doi.org/10.1109/icdmw.2010.125
https://doi.org/10.1109/icdmw.2010.125
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642120251
DASFAA (1)
DASFAA (1)
Classification in P2P networks has become an important research problem in data mining due to the popularity of P2P computing environments. This is still an open difficult research problem due to a variety of challenges, such as non-i.i.d. data distr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d8594b48a7ca09861b2a27cb9f5d50
https://doi.org/10.1007/978-3-642-12026-8_5
https://doi.org/10.1007/978-3-642-12026-8_5
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642120251
DASFAA (1)
DASFAA (1)
Outlier detection has many practical applications, especially in domains that have scope for abnormal behavior. Despite the importance of detecting outliers, defining outliers in fact is a nontrivial task which is normally application-dependent. On t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13d02e31395f92e9054fc3d93b1413b9
https://doi.org/10.1007/978-3-642-12026-8_29
https://doi.org/10.1007/978-3-642-12026-8_29
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642158797
ECML/PKDD (1)
ECML/PKDD (1)
Concept drift is a common challenge for many real-world data mining and knowledge discovery applications. Most of the existing studies for concept drift are based on centralized settings, and are often hard to adapt in a distributed computing environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3c1e64f81ba6b7aabe961dcc1899402
https://doi.org/10.1007/978-3-642-15880-3_8
https://doi.org/10.1007/978-3-642-15880-3_8
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642136719
PAKDD (2)
PAKDD (2)
Distributed classification aims to build an accurate classifier by learning from distributed data while reducing computation and communication cost A P2P network where numerous users come together to share resources like data content, bandwidth, stor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6378fe6a2eae6e3cf78a61095c28574
https://doi.org/10.1007/978-3-642-13672-6_7
https://doi.org/10.1007/978-3-642-13672-6_7
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642041792
ECML/PKDD (1)
ECML/PKDD (1)
Distributed classification aims to learn with accuracy comparable to that of centralized approaches but at far lesser communication and computation costs. By nature, P2P networks provide an excellent environment for performing a distributed classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d8803d4cb2622f7c4a158961a1f235f
https://doi.org/10.1007/978-3-642-04180-8_23
https://doi.org/10.1007/978-3-642-04180-8_23