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2020 – today
- 2022
[c16]Ron Bekkerman, Maxime C. Cohen, Edward Kung, John Maiden, Davide Proserpio:
The Effect of Short-Term Rentals on Residential Investment. EC 2022: 370- 2020
- [j6]Ido Dangur, Ron Bekkerman, Einat Minkov:
Identification of topical subpopulations on social media. Inf. Sci. 528: 92-112 (2020) - [c15]Ron Bekkerman, Vanja Josifovski, Foster J. Provost:
Data Science for the Real Estate Industry. KDD 2020: 3559-3560
2010 – 2019
- 2019
- [j5]Ron Bekkerman, Adi Zmirli, Scott Kirkpatrick:
Mining the Thin Air - for Understanding of Urban Society. Big Data 7(4): 262-275 (2019) - 2018
- [j4]Saar Kagan, Ron Bekkerman:
Predicting Purchase Behavior of Website Audiences. Int. J. Electron. Commer. 22(4): 510-539 (2018) - [j3]Anat Ben-David
, Adam Amram, Ron Bekkerman:
The colors of the national Web: visual data analysis of the historical Yugoslav Web domain. Int. J. Digit. Libr. 19(1): 95-106 (2018) - [i1]Scott Kirkpatrick, Ron Bekkerman, Adi Zmirli, Francesco Malandrino:
Mining the Air - for Research in Social Science and Networking Measurement. CoRR abs/1806.07918 (2018) - 2014
- [j2]Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich:
A Data Scientist's Guide to Start-Ups. Big Data 2(3): 117-128 (2014) - 2012
- [c14]Liangjie Hong, Ron Bekkerman, Joseph Adler, Brian D. Davison:
Learning to rank social update streams. SIGIR 2012: 651-660 - [c13]Suratna Budalakoti, Ron Bekkerman:
Bimodal invitation-navigation fair bets model for authority identification in a social network. WWW 2012: 709-718 - 2011
- [c12]Ron Bekkerman, Matan Gavish:
High-precision phrase-based document classification on a modern scale. KDD 2011: 231-239
2000 – 2009
- 2009
- [c11]Ron Bekkerman, Martin Scholz, Krishnamurthy Viswanathan:
Improving clustering stability with combinatorial MRFs. KDD 2009: 99-108 - 2008
- [c10]Ron Bekkerman, Martin Scholz:
Data weaving: scaling up the state-of-the-art in data clustering. CIKM 2008: 1083-1092 - [c9]Ron Bekkerman, Koby Crammer:
One-Class Clustering in the Text Domain. EMNLP 2008: 41-50 - 2007
- [c8]Ron Bekkerman, Jiwoon Jeon:
Multi-modal Clustering for Multimedia Collections. CVPR 2007 - [c7]Ron Bekkerman, Hema Raghavan, James Allan, Koji Eguchi:
Interactive Clustering of Text Collections According to a User-Specified Criterion. IJCAI 2007: 684-689 - [c6]Ron Bekkerman, Shlomo Zilberstein, James Allan:
Web Page Clustering Using Heuristic Search in the Web Graph. IJCAI 2007: 2280-2285 - 2006
- [c5]Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller:
Combinatorial Markov Random Fields. ECML 2006: 30-41 - 2005
- [c4]Ron Bekkerman, Ran El-Yaniv, Andrew McCallum:
Multi-way distributional clustering via pairwise interactions. ICML 2005: 41-48 - [c3]Ron Bekkerman, Andrew McCallum:
Disambiguating Web appearances of people in a social network. WWW 2005: 463-470 - 2004
- [c2]Aron Culotta, Ron Bekkerman, Andrew McCallum:
Extracting social networks and contact information from email and the Web. CEAS 2004 - 2003
- [j1]Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter:
Distributional Word Clusters vs. Words for Text Categorization. J. Mach. Learn. Res. 3: 1183-1208 (2003) - 2001
- [c1]Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby:
On Feature Distributional Clustering for Text Categorization. SIGIR 2001: 146-153
Coauthor Index
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last updated on 2023-03-25 23:47 CET by the dblp team
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