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» Including Group-By in Query Optimization
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ICML
1998
IEEE
14 years 8 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
VLDB
2005
ACM
152views Database» more  VLDB 2005»
14 years 7 months ago
Composing, optimizing, and executing plans for bioinformatics web services
The emergence of a large number of bioinformatics datasets on the Internet has resulted in the need for flexible and efficient approaches to integrate information from multiple bio...
Snehal Thakkar, José Luis Ambite, Craig A. Knoblo...
MOBICOM
2004
ACM
14 years 1 months ago
Revisiting the TTL-based controlled flooding search: optimality and randomization
In this paper we consider the problem of searching for a node or an object (i.e., piece of data, file, etc.) in a large network. Applications of this problem include searching fo...
Nicholas B. Chang, Mingyan Liu
INTR
2007
120views more  INTR 2007»
13 years 7 months ago
Analysing Google rankings through search engine optimization data
Purpose – The purpose of this paper is to identify the most popular techniques used to rank a web page highly in Google. Design/methodology/approach – The paper presents the r...
Michael P. Evans
SIGMOD
2010
ACM
232views Database» more  SIGMOD 2010»
13 years 7 months ago
Optimizing content freshness of relations extracted from the web using keyword search
An increasing number of applications operate on data obtained from the Web. These applications typically maintain local copies of the web data to avoid network latency in data acc...
Mohan Yang, Haixun Wang, Lipyeow Lim, Min Wang