Data Mining

[Comarela et al., 2018]
 
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Giovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino Christenson and Mark Crovella (2018).
Assessing Candidate Preference through Web Browsing History.
In: Proceedings of ACM KDD 2018. London, UK. doi:10.1145/3219819.3219884
[Spinelli and Crovella, 2018]
 
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Larissa Spinelli and Mark Crovella (2018).
Unravelling the Dynamics of Online Ratings.
In: Proceedings of the 4th International Symposium on Social Media Mining and Analysis (SMMA 2018). Exeter, UK. doi:
[Rastegarpanah et al., 2017]
 
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Bashir Rastegarpanah, Mark Crovella and Krishna Gummadi (2017).
Exploring Explanations for Matrix Factorization Recommender Systems (Position Paper).
In: Proceedings of the FATREC Workshop on Responsible Recommendation. Como, Italy. Code and demo for this method is available at links below. doi:10.18122/B2R717
[Spinelli and Crovella, 2017]
 
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Larissa Spinelli and Mark Crovella (2017).
Closed-Loop Opinion Formation.
In: Proceedings of the 9th International ACM Web Science Conference (WebSci). Troy, NY. doi:10.1145/3091478.3091483
[Ruchansky et al., 2017]
 
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Natali Ruchansky, Evimaria Terzi and Mark Crovella (2017).
Targeted Matrix Completion.
In: Proceedings of the SIAM International Conference on Data Mining (SDM). Houston, TX. doi:TBD
[Mavroforakis et al., 2017]
 
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Charalampos Mavroforakis, Dora Erdös, Mark Crovella and Evimari Terzi (2017).
Active Positive-Definite Matrix Completion.
In: Proceedings of the SIAM International Conference on Data Mining (SDM). Houston, TX. doi:TBD
[Comarela et al., 2016]
 
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Giovanni Comarela, Evimaria Terzi and Mark Crovella (2016).
Detecting Unusually-Routed ASes: Methods and Applications.
In: Proceedings of the ACM Internet Measurement Conference (IMC). Santa Monica, CA. doi:10.1145/2987443.2987478
[Ruchansky et al., 2015]
 
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Natali Ruchansky, Mark Crovella and Evimaria Terzi (2015).
Matrix Completion with Queries.
In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Sydney, Australia. doi:10.1145/2783258.2783259
[Comarela and Crovella, 2014]
 
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Giovanni Comarela and Mark Crovella (2014).
Identifying and Analyzing High Impact Routing Events with PathMiner.
In: Proceedings of the ACM Internet Measurement Conference (IMC). Vancouver, BC, pp. 421--434. doi:10.1145/2663716.2663754
[Zhang et al., 2014]
 
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Yaonan Zhang, Theodoros Lappas, Mark Crovella and Eric Kolaczyk (2014).
Online ratings: convergence towards a positive perspective?
In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Florence, Italy. doi:10.1109/ICASSP.2014.6854511
[Lappas et al., 2012]
 
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Theodoros Lappas, Mark Crovella and Evimari Terzi (2012).
Selecting a Characteristic Set of Reviews.
In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012. Beijing, China. doi:10.1145/2339530.2339663
[Eriksson and Crovella, 2012]
 
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Brian Eriksson and Mark Crovella (2012).
Estimating Intrinsic Dimension via Clustering.
In: IEEE Statistical Signal Processing Workshop (SSP). Ann Arbor, MI. Code for this method is included in the R package ider available from CRAN.