Neil Shah
Neil Shah
Research Scientist, Snap Inc.
Email verificata su snap.com - Home page
TitoloCitata daAnno
Compressing the incompressible with ISABELA: In-situ reduction of spatio-temporal data
S Lakshminarasimhan, N Shah, S Ethier, S Klasky, R Latham, R Ross, ...
European Conference on Parallel Processing, 366-379, 2011
1532011
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
1072016
TimeCrunch: Interpretable Dynamic Graph Summarization
N Shah, D Koutra, T Zou, B Gallagher, C Faloutsos
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
732015
False information on web and social media: A survey
S Kumar, N Shah
arXiv preprint arXiv:1804.08559, 2018
682018
Spotting suspicious link behavior with fbox: An adversarial perspective
N Shah, A Beutel, B Gallagher, C Faloutsos
2014 IEEE International Conference on Data Mining, 959-964, 2014
672014
DeltaCon: Principled Massive-Graph Similarity Function with Attribution
D Koutra, N Shah, JT Vogelstein, B Gallagher, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 28, 2016
642016
ISOBAR preconditioner for effective and high-throughput lossless data compression
ER Schendel, Y Jin, N Shah, J Chen, CS Chang, SH Ku, S Ethier, ...
2012 IEEE 28th international conference on data engineering, 138-149, 2012
642012
Birdnest: Bayesian inference for ratings-fraud detection
B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016
622016
ISABELA for effective in situ compression of scientific data
S Lakshminarasimhan, N Shah, S Ethier, SH Ku, CS Chang, S Klasky, ...
Concurrency and Computation: Practice and Experience 25 (4), 524-540, 2013
552013
Edgecentric: Anomaly detection in edge-attributed networks
N Shah, A Beutel, B Hooi, L Akoglu, S Gunnemann, D Makhija, M Kumar, ...
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
272016
Retweeting Activity on Twitter: Signs of Deception
M Giatsoglou, D Chatzakou, N Shah, C Faloutsos, A Vakali
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 122-134, 2015
262015
ND-Sync: Detecting Synchronized Fraud Activities
M Giatsoglou, D Chatzakou, N Shah, A Beutel, C Faloutsos, A Vakali
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 201-214, 2015
232015
ALACRITY: Analytics-driven lossless data compression for rapid in-situ indexing, storing, and querying
J Jenkins, I Arkatkar, S Lakshminarasimhan, DA Boyuka II, ER Schendel, ...
Transactions on Large-Scale Data-and Knowledge-Centered Systems X, 95-114, 2013
232013
Analytics-driven lossless data compression for rapid in-situ indexing, storing, and querying
J Jenkins, I Arkatkar, S Lakshminarasimhan, N Shah, ER Schendel, ...
International Conference on Database and Expert Systems Applications, 16-30, 2012
132012
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings
GB Guacho, S Abdali, N Shah, EE Papalexakis
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
122018
The Many Faces of Link Fraud
N Shah, H Lamba, A Beutel, C Faloutsos
2017 IEEE International Conference on Data Mining (ICDM), 1069-1074, 2017
122017
FLOCK: Combating Astroturfing on Livestreaming Platforms
N Shah
Proceedings of the 26th International Conference on World Wide Web, 1083-1091, 2017
112017
An Empirical Comparison of the Summarization Power of Graph Clustering Methods
Y Liu, N Shah, D Koutra
NIPS Workshop on Networks in the Social and Information Sciences, 2015
92015
S-index: Towards Better Metrics for Quantifying Research Impact
N Shah, Y Song
arXiv preprint arXiv:1507.03650, 2015
82015
Reducing large graphs to small supergraphs: a unified approach
Y Liu, T Safavi, N Shah, D Koutra
Social Network Analysis and Mining 8 (1), 17, 2018
62018
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