Christopher M. Jermaine
List of publications from the
| 2009 |
| 41 | EE | Shantanu Joshi,
Christopher M. Jermaine:
Sampling-based estimators for subset-based queries.
VLDB J. 18(1): 181-202 (2009) |
| 40 | EE | Mingxi Wu,
Chris Jermaine:
Guessing the extreme values in a data set: a Bayesian method and its applications.
VLDB J. 18(2): 571-597 (2009) |
| 2008 |
| 39 | EE | Shantanu Joshi,
Christopher M. Jermaine:
Robust Stratified Sampling Plans for Low Selectivity Queries.
ICDE 2008: 199-208 |
| 38 | EE | Xiuyao Song,
Chris Jermaine,
Sanjay Ranka,
John Gums:
A bayesian mixture model with linear regression mixing proportions.
KDD 2008: 659-667 |
| 37 | EE | Florin Rusu,
Fei Xu,
Luis Leopoldo Perez,
Mingxi Wu,
Ravi Jampani,
Chris Jermaine,
Alin Dobra:
The DBO database system.
SIGMOD Conference 2008: 1223-1226 |
| 36 | EE | Ravi Jampani,
Fei Xu,
Mingxi Wu,
Luis Leopoldo Perez,
Christopher M. Jermaine,
Peter J. Haas:
MCDB: a monte carlo approach to managing uncertain data.
SIGMOD Conference 2008: 687-700 |
| 35 | EE | Fei Xu,
Christopher M. Jermaine,
Alin Dobra:
Confidence bounds for sampling-based group by estimates.
ACM Trans. Database Syst. 33(3): (2008) |
| 34 | EE | Chris Jermaine,
Subramanian Arumugam,
Abhijit Pol,
Alin Dobra:
Scalable approximate query processing with the DBO engine.
ACM Trans. Database Syst. 33(4): (2008) |
| 33 | EE | Shantanu Joshi,
Christopher M. Jermaine:
Materialized Sample Views for Database Approximation.
IEEE Trans. Knowl. Data Eng. 20(3): 337-351 (2008) |
| 32 | EE | Manas Somaiya,
Christopher M. Jermaine,
Sanjay Ranka:
Learning correlations using the mixture-of-subsets model.
TKDD 1(4): (2008) |
| 31 | EE | Jayendra Venkateswaran,
Tamer Kahveci,
Christopher M. Jermaine,
Deepak Lachwani:
Reference-based indexing for metric spaces with costly distance measures.
VLDB J. 17(5): 1231-1251 (2008) |
| 30 | EE | Abhijit Pol,
Christopher M. Jermaine,
Subramanian Arumugam:
Maintaining very large random samples using the geometric file.
VLDB J. 17(5): 997-1018 (2008) |
| 2007 |
| 29 | EE | Xiuyao Song,
Mingxi Wu,
Christopher M. Jermaine,
Sanjay Ranka:
Statistical change detection for multi-dimensional data.
KDD 2007: 667-676 |
| 28 | EE | Christopher M. Jermaine,
Subramanian Arumugam,
Abhijit Pol,
Alin Dobra:
Scalable approximate query processing with the DBO engine.
SIGMOD Conference 2007: 725-736 |
| 27 | EE | Mingxi Wu,
Chris Jermaine:
A Bayesian Method for Guessing the Extreme Values in a Data Set.
VLDB 2007: 471-482 |
| 26 | EE | Fei Xu,
Chris Jermaine:
Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing.
VLDB 2007: 639-650 |
| 25 | EE | Christopher M. Jermaine:
Online Random Shuffling of Large Database Tables.
IEEE Trans. Knowl. Data Eng. 19(1): 73-84 (2007) |
| 24 | EE | Xiuyao Song,
Mingxi Wu,
Christopher M. Jermaine,
Sanjay Ranka:
Conditional Anomaly Detection.
IEEE Trans. Knowl. Data Eng. 19(5): 631-645 (2007) |
| 23 | EE | Christopher M. Jermaine,
Edward Omiecinski,
Wai Gen Yee:
The partitioned exponential file for database storage management.
VLDB J. 16(4): 417-437 (2007) |
| 2006 |
| 22 | EE | Shantanu Joshi,
Chris Jermaine:
Materialized Sample Views for Database Approximation.
ICDE 2006: 151 |
| 21 | EE | Ruoming Jin,
Leonid Glimcher,
Chris Jermaine,
Gagan Agrawal:
New Sampling-Based Estimators for OLAP Queries.
ICDE 2006: 18 |
| 20 | EE | Subramanian Arumugam,
Chris Jermaine:
Closest-Point-of-Approach Join for Moving Object Histories.
ICDE 2006: 86 |
| 19 | EE | Mingxi Wu,
Chris Jermaine:
Outlier detection by sampling with accuracy guarantees.
KDD 2006: 767-772 |
| 18 | EE | Jayendra Venkateswaran,
Deepak Lachwani,
Tamer Kahveci,
Christopher M. Jermaine:
Reference-based Indexing of Sequence Databases.
VLDB 2006: 906-917 |
| 17 | EE | Chris Jermaine,
Alin Dobra,
Subramanian Arumugam,
Shantanu Joshi,
Abhijit Pol:
The Sort-Merge-Shrink join.
ACM Trans. Database Syst. 31(4): 1382-1416 (2006) |
| 2005 |
| 16 | EE | Chris Jermaine,
Alin Dobra,
Subramanian Arumugam,
Shantanu Joshi,
Abhijit Pol:
A Disk-Based Join With Probabilistic Guarantees.
SIGMOD Conference 2005: 563-574 |
| 15 | EE | Abhijit Pol,
Chris Jermaine:
Relational Confidence Bounds Are Easy With The Bootstrap.
SIGMOD Conference 2005: 587-598 |
| 14 | EE | Chris Jermaine,
Alin Dobra,
Abhijit Pol,
Shantanu Joshi:
Online Estimation For Subset-Based SQL Queries.
VLDB 2005: 745-756 |
| 13 | EE | Chris Jermaine:
Finding the most interesting correlations in a database: how hard can it be?.
Inf. Syst. 30(1): 21-46 (2005) |
| 2004 |
| 12 | EE | Chris Jermaine,
Abhijit Pol,
Subramanian Arumugam:
Online Maintenance of Very Large Random Samples.
SIGMOD Conference 2004: 299-310 |
| 2003 |
| 11 | EE | Chris Jermaine:
Playing hide-and-seek with correlations.
KDD 2003: 559-564 |
| 10 | EE | Chris Jermaine:
Robust Estimation With Sampling and Approximate Pre-Aggregation.
VLDB 2003: 886-897 |
| 2002 |
| 9 | EE | Wai Gen Yee,
Shamkant B. Navathe,
Edward Omiecinski,
Chris Jermaine:
Bridging the Gap between Response Time and Energy-Efficiency in Broadcast Schedule Design.
EDBT 2002: 572-589 |
| 8 | EE | Chris Jermaine,
Edward Omiecinski,
Wai Gen Yee:
Out From Under the Trees.
ICDE 2002: 265 |
| 7 | EE | Chris Jermaine,
Edward Omiecinski:
Lossy Reduction for Very High Dimensional Data.
ICDE 2002: 663-672 |
| 6 | EE | Wai Gen Yee,
Shamkant B. Navathe,
Edward Omiecinski,
Chris Jermaine:
Efficient Data Allocation over Multiple Channels at Broadcast Servers.
IEEE Trans. Computers 51(10): 1231-1236 (2002) |
| 2001 |
| 5 | | Chris Jermaine,
Edward Omiecinski,
Wai Gen Yee:
Maintaining a Large Spatial Database with T2SM.
ACM-GIS 2001: 76-81 |
| 4 | EE | Chris Jermaine:
The Computational Complexity of High-Dimensional Correlation Search.
ICDM 2001: 249-256 |
| 2000 |
| 3 | | Chris Jermaine,
Renée J. Miller:
Approximate Query Answering in High-Dimensional Data Cubes.
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 31-36 |
| 1999 |
| 2 | EE | Chris Jermaine,
Anindya Datta,
Edward Omiecinski:
A Novel Index Supporting High Volume Data Warehouse Insertion.
VLDB 1999: 235-246 |
| 1 | EE | Chris Jermaine:
Computing Program Modularizations Using the k-Cut Method.
WCRE 1999: 224-234 |