Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Saurabh Nagrecha"'
Autor:
Senthil Kumar, Leman Akoglu, Nitesh Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer Faruquie, Hays McCormick
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af569846f88ed074fe4a6a20ecaa7f62
https://doi.org/10.1145/3534678.3542908
https://doi.org/10.1145/3534678.3542908
Autor:
Leman Akoglu, Senthil Kumar, Nitesh V. Chawla, Saurabh Nagrecha, Jose A. Rodriguez-Serrano, Faruquie Tanveer
Publikováno v:
KDD
The finance industry is constantly faced with an ever evolving set of challenges including credit card fraud, identity theft, network intrusion, money laundering, human trafficking, and illegal sales of firearms. There are also newly emerging threats
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a052af80fad66f76790f01e03f7aee6f
https://doi.org/10.1145/3447548.3469456
https://doi.org/10.1145/3447548.3469456
Publikováno v:
Big data. 6(1)
Nonstandard insurers suffer from a peculiar variant of fraud wherein an overwhelming majority of claims have the semblance of fraud. We show that state-of-the-art fraud detection performs poorly when deployed at underwriting. Our proposed framework "
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::188011d9b10588410782f4697089b352
https://pubmed.ncbi.nlm.nih.gov/29570416
https://pubmed.ncbi.nlm.nih.gov/29570416
Publikováno v:
Lecture Notes in Computer Science
1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2017, Reggio, Italy. pp.295-312, ⟨10.1007/978-3-319-66808-6_20⟩
Lecture Notes in Computer Science ISBN: 9783319668079
CD-MAKE
1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2017, Reggio, Italy. pp.295-312, ⟨10.1007/978-3-319-66808-6_20⟩
Lecture Notes in Computer Science ISBN: 9783319668079
CD-MAKE
Part 5: MAKE AAL; International audience; Predicting the onset of heart disease is of obvious importance as doctors try to improve the general health of their patients. If it were possible to identify high-risk patients before their heart failure dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db21c202bad676214c9fa2f81c4bc72
https://hal.inria.fr/hal-01677126/file/456304_1_En_20_Chapter.pdf
https://hal.inria.fr/hal-01677126/file/456304_1_En_20_Chapter.pdf
Publikováno v:
WWW (Companion Volume)
Dropout prediction in MOOCs is a well-researched problem where we classify which students are likely to persist or drop out of a course. Most research into creating models which can predict outcomes is based on student engagement data. Why these stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::995b398cb8f52d7c1eaef47ce7fbd5c5
https://doi.org/10.1145/3041021.3054162
https://doi.org/10.1145/3041021.3054162
Autor:
Saurabh Nagrecha, Nitesh Chawla
Quantifying decision making for data science: from data acquisition to modeling (pdf)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f1f2965f63f1296d058e269a0f2048
Publikováno v:
DSAA
As access to broadband continues to grow along with the now almost ubiquitous availability of mobile phones, the landscape of the e-content delivery space has never been so dynamic. To establish their position in the market, businesses are beginning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c80ac71403a88debd8460315dc0ad2b
https://doi.org/10.1109/dsaa.2015.7344873
https://doi.org/10.1109/dsaa.2015.7344873
Publikováno v:
ASONAM
Interactions in dynamic networks often transcend the dyadic barrier and emerge as subgraphs. The evolution of these subgraphs cannot be completely predicted using a pairwise link prediction analysis. We propose a novel solution to the problem — "Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a73e6b9b8fca3bee817a08ad1be3070
https://doi.org/10.1145/2808797.2809283
https://doi.org/10.1145/2808797.2809283
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783642365454
ACIIDS (1)
ACIIDS (1)
Inferring genetic networks is of great importance in unlocking gene behaviour, which in turn provides solutions for drug testing, disease resistance, and many other applications. Dynamic network models provide room for handling noisy or missing prele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625febfa9435a02175d519ba04e341f8
https://doi.org/10.1007/978-3-642-36546-1_52
https://doi.org/10.1007/978-3-642-36546-1_52