BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Austria
1 × China
1 × France
2 × Canada
3 × USA
Collaborated with:
R.Motwani S.Rajagopalan B.G.Lindsay B.Vo A.Arasu M.Naor U.Wieder M.Bawa P.Raghavan R.Hojati R.K.Brayton
Talks about:
approxim (4) stream (3) count (3) neighbor (2) frequenc (2) quantil (2) random (2) data (2) lookahead (1) techniqu (1)

Person: Gurmeet Singh Manku

DBLP DBLP: Manku:Gurmeet_Singh

Contributed to:

VLDB 20122012
VLDB 20072007
PODS 20042004
STOC 20042004
SIGIR 20032003
VLDB 20022002
SIGMOD 19991999
CAV 19981998
SIGMOD 19981998

Wrote 9 papers:

VLDB-2012-MankuM #approximate #data type
Approximate Frequency Counts over Data Streams (GSM, RM), p. 1699.
VLDB-2007-VoM #linear #named
RadixZip: Linear-Time Compression of Token Streams (BV, GSM), pp. 1162–1172.
PODS-2004-ArasuM #approximate
Approximate Counts and Quantiles over Sliding Windows (AA, GSM), pp. 286–296.
STOC-2004-MankuNW #lookahead #network #power of #random
Know thy neighbor’s neighbor: the power of lookahead in randomized P2P networks (GSM, MN, UW), pp. 54–63.
SIGIR-2003-BawaMR #named #segmentation #set #topic
SETS: search enhanced by topic segmentation (MB, GSM, PR), pp. 306–313.
VLDB-2002-MankuM #approximate #data type
Approximate Frequency Counts over Data Streams (GSM, RM), pp. 346–357.
SIGMOD-1999-MankuRL #dataset #online #order #performance #random #scalability #statistics
Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets (GSM, SR, BGL), pp. 251–262.
CAV-1998-MankuHB #model checking #symmetry
Structural Symmetry and Model Checking (GSM, RH, RKB), pp. 159–171.
SIGMOD-1998-RajagopalanML #approximate #memory management
Approximate Medians and other Quantiles in One Pass and with Limited Memory (GSM, SR, BGL), pp. 426–435.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.