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CATEGORIES:Human and computer vision series:Spring 2011 CREATED:20151203T141542 SUMMARY:Learning and Mining in Large Complex Networks LOCATION:Rutgers University\, Department of Computer Science DESCRIPTION:
Complex networks are ubiquitous in many domains. Examples include techno
logical, informational, social, and biological networks. In this talk
, I will present algorithms for both relational classification and clusteri
ng in such networked data. I will pay special attention to issues sur
rounding scalability, transfer of knowledge across networks, and evaluation
in such non-IID settings.
Background reading is available at http://eliassi.org/pubs.html">http://eliassi.org/pubs.html. These four pub
lications should provide a nice background:
[1] Jennifer Neville, Br
ian Gallagher, Tina Eliassi-Rad, and Tao Wang: Correcting Evaluation Bias o
f Relational Classifiers with Network Cross Validation. Knowledge and Infor
mation Systems (KAIS), Springer, January 2011.
http://
eliassi.org/papers/neville-kais11.pdf">http://eliassi.org/papers/neville-kais11.pdf
[2] Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, and Ch
ristos Faloutsos: HCDF: A Hybrid Community Discovery Framework. SIAM SDM 20
10: 754-765.
http://eliassi.org/papers/henderson-sdm1
0.pdf">http://e
liassi.org/papers/henderson-sdm10.pdf
[3] Brian Gallagher,
Hanghang Tong, Tina Eliassi-Rad, and Christos Faloutsos: Using ghost edges
for classification in sparsely labeled networks. ACM SIGKDD 2008: 256-264.
http://eliassi.org/papers/gallagher-kdd08.pdf">http://eliassi.org/pa
pers/gallagher-kdd08.pdf
[4] Prithviraj Sen, Galileo Namata,
Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad: Collec
tive Classification in Network Data. AI Magazine 29(3): 93-106 (2008).
<
A class=moz-txt-link-freetext href="http://eliassi.org/papers/ai-mag-tr08.pdf">http://eliassi.org/papers/ai-mag-tr08.
pdf
Complex networks are ubiquitous in many domains. Examples include techno
logical, informational, social, and biological networks. In this talk
, I will present algorithms for both relational classification and clusteri
ng in such networked data. I will pay special attention to issues sur
rounding scalability, transfer of knowledge across networks, and evaluation
in such non-IID settings.
Background reading is available at http://eliassi.org/pubs.html
a>">http://eliassi.org/pubs.html
. These four publications should provide a nice background:
[1] Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, and Tao Wang: Co
rrecting Evaluation Bias of Relational Classifiers with Network Cross Valid
ation. Knowledge and Information Systems (KAIS), Springer, January 2011. http://eliassi.org/papers/nevi
lle-kais11.pdf">
http://eliassi.org/papers/neville-kais11.pdf
[2] Keith Hende
rson, Tina Eliassi-Rad, Spiros Papadimitriou, and Christos Faloutsos: HCDF:
A Hybrid Community Discovery Framework. SIAM SDM 2010: 754-765.
http://eliassi.org/papers/henderson-s
dm10.pdf">http:
//eliassi.org/papers/henderson-sdm10.pdf
[3] Brian Gallaghe
r, Hanghang Tong, Tina Eliassi-Rad, and Christos Faloutsos: Using ghost edg
es for classification in sparsely labeled networks. ACM SIGKDD 2008: 256-26
4.
http://eliassi.org/paper
s/gallagher-kdd08.pdf">http://eliassi.org/papers/gallagher-kdd08.pdf
[4] Pr
ithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher,
and Tina Eliassi-Rad: Collective Classification in Network Data. AI Magazi
ne 29(3): 93-106 (2008).
http://
eliassi.org/papers/ai-mag-tr08.pdf">http://eliassi.org/papers/ai-mag-tr08.pdf