World > Northeastern University
affiliations · Northeastern University · Northeastern University
authors · Donghui Zhang · Betty Salzberg · Xiaochun Yang
co-op affiliations · University of California · Microsoft · IBM
share of 3+ author papers w/ alphabetical author order · 8 %
Table of contents
- Countries (2)
- Cities (2)
- Affiliations (2)
- Authors (18)
- Papers (16)
- Cooperations by affiliations (14)
Countries (2)
country | cities | affils | authors | papers | p:ef | p:hf | p:nef | p:nhf |
---|---|---|---|---|---|---|---|---|
USA | 1 | 1 | 11 | 12 | 7.1 | 8.1 | 6.6 | 7.3 |
China | 1 | 1 | 7 | 4 | 2.7 | 2.5 | 2.7 | 2.4 |
Cities (2)
country | city | affils | authors | papers | p:ef | p:hf | p:nef | p:nhf |
---|---|---|---|---|---|---|---|---|
USA | Boston | 1 | 11 | 12 | 7.1 | 8.1 | 6.6 | 7.3 |
China | Shenyang | 1 | 7 | 4 | 2.7 | 2.5 | 2.7 | 2.4 |
Affiliations (2)
country | city | affil | authors | papers | p:ef | p:hf | p:nef | p:nhf |
---|---|---|---|---|---|---|---|---|
USA | Boston | Northeastern University | 11 | 12 | 7.1 | 8.1 | 6.6 | 7.3 |
China | Shenyang | Northeastern University | 7 | 4 | 2.7 | 2.5 | 2.7 | 2.4 |
Papers (16)
- On computing temporal aggregates with range predicates (tods, 2008, research)
- Cost-based variable-length-gram selection for string collections to support approximate queries efficiently (sigmod, 2008, research)
- QueryScope: visualizing queries for repeatable database tuning (vldb, 2008, demo)
- VGRAM: improving performance of approximate queries on string collections using variable-length grams (vldb, 2007, research)
- Log-based recovery for middleware servers (sigmod, 2007, research)
- Refreshing the sky: the compressed skycube with efficient support for frequent updates (sigmod, 2006, research)
- Progressive computation of the min-dist optimal-location query (vldb, 2006, research)
- On computing top-<i>t</i> most influential spatial sites (vldb, 2005, research)
- Online B-tree merging (sigmod, 2005, research)
- Optimizing spatial Min/Max aggregations (vldbj, 2005, research)