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2020 – today
- 2023
- [e5]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- [j15]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
LocalRec 2022 Workshop Report: The Sixth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising Seattle, Washington, USA, November 1, 2022. ACM SIGSPATIAL Special 14(1): 19-22 (2022) - [e4]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2022, Seattle, Washington, USA, 1 November 2022. ACM 2022, ISBN 978-1-4503-9540-3 [contents] - 2021
- [j14]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
LocalRec 2021 Workshop Report: The Fifth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: online event - November 2, 2021. ACM SIGSPATIAL Special 13(3): 1-5 (2021) - [c23]Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong:
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR 2021 - [e3]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
LocalRec '21: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, Virtual Event / Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9100-9 [contents] - 2020
- [j13]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
The Fourth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: online event - November 3, 2020: LocalRec 2020 workshop report. ACM SIGSPATIAL Special 12(3): 7-10 (2020) - [j12]Aline Bessa, Juliana Freire, Tamraparni Dasu, Divesh Srivastava:
Effective Discovery of Meaningful Outlier Relationships. Trans. Data Sci. 1(2): 12:1-12:33 (2020) - [e2]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
LocalRec'20: Proceedings of the 4th ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks, and Geoadvertising, LocalRec@SIGSPATIAL 2020, November 3, 2020, Seattle, WA, USA. ACM 2020, ISBN 978-1-4503-8160-4 [contents]
2010 – 2019
- 2019
- [j11]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
LocalRec 2019 workshop report: The Third ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: Chicago, Illinois, USA - November 5, 2019. ACM SIGSPATIAL Special 11(3): 30-33 (2019) - [j10]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
From Rocks to Pebbles: Smoothing Spatiotemporal Data Streams in an Overlay of Sensors. ACM Trans. Spatial Algorithms Syst. 5(3): 18:1-18:38 (2019) - [c22]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Eleftherios Koutsofios, Rajat Malik, Divesh Srivastava:
Don't Cry Wolf. DSAA 2019: 616-617 - [e1]Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec@SIGSPATIAL 2019, Chicago, Illinois, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6963-3 [contents] - [i2]Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu:
Efficient Discovery of Meaningful Outlier Relationships. CoRR abs/1910.08678 (2019) - 2018
- [c21]Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
Geofences in the sky: herding drones with blockchains and 5G. SIGSPATIAL/GIS 2018: 73-76 - 2017
- [j9]Shazia Wasim Sadiq, Tamraparni Dasu, Xin Luna Dong, Juliana Freire, Ihab F. Ilyas, Sebastian Link, Renée J. Miller, Felix Naumann, Xiaofang Zhou, Divesh Srivastava:
Data Quality: The Role of Empiricism. SIGMOD Rec. 46(4): 35-43 (2017) - [c20]Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
Geotagging IP Packets for Location-Aware Software-Defined Networking in the Presence of Virtual Network Functions. SIGSPATIAL/GIS 2017: 9:1-9:4 - [c19]Philip E. Brown, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava:
Mind the Gaps (and Bumps): Statistical Smoothing of Spatiotemporal Streams. IWGS@SIGSPATIAL 2017: 29-38 - 2016
- [j8]Tamraparni Dasu, Rong Duan, Divesh Srivastava:
Data Quality for Temporal Streams. IEEE Data Eng. Bull. 39(2): 78-92 (2016) - 2015
- [j7]Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A masking index for quantifying hidden glitches. Knowl. Inf. Syst. 44(2): 253-277 (2015) - [j6]Tamraparni Dasu, Vladislav Shkapenyuk, Divesh Srivastava, Deborah F. Swayne:
FIT to Monitor Feed Quality. Proc. VLDB Endow. 8(12): 1728-1739 (2015) - 2014
- [c18]Tamraparni Dasu, Ji Meng Loh, Divesh Srivastava:
Empirical glitch explanations. KDD 2014: 572-581 - 2013
- [j5]Ji Meng Loh, Tamraparni Dasu:
Auditing data streams for correlated glitches. Int. J. Inf. Qual. 3(2): 85-106 (2013) - [c17]Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A Masking Index for Quantifying Hidden Glitches. ICDM 2013: 21-30 - [p1]Tamraparni Dasu:
Data Glitches: Monsters in Your Data. Handbook of Data Quality 2013: 163-178 - 2012
- [j4]Tamraparni Dasu, Ji Meng Loh:
Statistical Distortion: Consequences of Data Cleaning. Proc. VLDB Endow. 5(11): 1674-1683 (2012) - [c16]Ji Meng Loh, Tamraparni Dasu:
Effect of Data Repair on Mining Network Streams. ICDM Workshops 2012: 226-233 - [i1]Tamraparni Dasu, Ji Meng Loh:
Statistical Distortion: Consequences of Data Cleaning. CoRR abs/1208.1932 (2012) - 2011
- [c15]Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava:
Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning. ICDE 2011: 733-744 - [c14]Tamraparni Dasu, Shankar Krishnan, Gina Maria Pomann:
Robustness of Change Detection Algorithms. IDA 2011: 125-137 - [c13]Ji Meng Loh, Tamraparni Dasu:
Auditing data streams for correlated glitches. ICIQ 2011 - [c12]David L. Applegate, Tamraparni Dasu, Shankar Krishnan, Simon Urbanek:
Unsupervised clustering of multidimensional distributions using earth mover distance. KDD 2011: 636-644
2000 – 2009
- 2009
- [c11]Tamraparni Dasu, Shankar Krishnan, Dongyu Lin, Suresh Venkatasubramanian, Kevin Yi:
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams. IDA 2009: 21-34 - [r1]Tamraparni Dasu, Gary Weiss:
Mining Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 1248-1256 - 2007
- [j3]Jon R. Wright, James A. Pelletier, Tamraparni Dasu, Gregg T. Vesonder:
Information quality for network monitoring and analysis. Int. J. Inf. Qual. 1(2): 130-144 (2007) - 2006
- [j2]Tamraparni Dasu, Theodore Johnson, Amit Marathe:
Database Exploration Using Database Dynamics. IEEE Data Eng. Bull. 29(2): 43-59 (2006) - 2005
- [c10]James A. Pelletier, Tamraparni Dasu:
Mining Network Logs: Information Quality Challenges. ICIQ 2005 - 2004
- [c9]Jon R. Wright, Gregg T. Vesonder, Tamraparni Dasu:
Stewardship and Staging of Information for Enterprise Mining. ICIQ 2004: 248-259 - 2003
- [b1]Tamraparni Dasu, Theodore Johnson:
Exploratory Data Mining and Data Cleaning. John Wiley 2003, ISBN 0-471-26851-8 - [j1]Theodore Johnson, Amit Marathe, Tamraparni Dasu:
Database Exploration and Bellman. IEEE Data Eng. Bull. 26(3): 34-39 (2003) - [c8]Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright:
Data quality through knowledge engineering. KDD 2003: 705-710 - [c7]Theodore Johnson, Tamraparni Dasu:
Data Quality and Data Cleaning: An Overview. SIGMOD Conference 2003: 681 - 2002
- [c6]Tamraparni Dasu, Theodore Johnson, S. Muthukrishnan, Vladislav Shkapenyuk:
Mining database structure; or, how to build a data quality browser. SIGMOD Conference 2002: 240-251 - 2001
- [c5]Theodore Johnson, Tamraparni Dasu:
A Data Quality Browser. IQ 2001: 233-243 - [c4]Tamraparni Dasu, Theodore Johnson:
Data Quality Issues in Service Provisioning & Billing. IQ 2001: 424-430 - 2000
- [c3]Tamraparni Dasu, Theodore Johnson, Eleftherios Koutsofios:
Hunting Down Glitches in Massive Time Series Data. IQ 2000: 190-199
1990 – 1999
- 1999
- [c2]Tamraparni Dasu, Theodore Johnson:
Hunting of the Snark: Finding Data Glitches using Data Mining Methods. IQ 1999: 89-98 - 1998
- [c1]Theodore Johnson, Tamraparni Dasu:
Comparing Massive High-Dimensional Data Sets. KDD 1998: 229-233
Coauthor Index
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