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VLDB
1999
ACM
147views Database» more  VLDB 1999»
15 years 8 months ago
Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications
A data-driven approach can be fruitfully used in the speci cation and automatic generation of data-intensive Web applications, i.e., applications which make large amounts of data ...
Stefano Ceri, Piero Fraternali, Stefano Paraboschi
ESEM
2007
ACM
15 years 5 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...
KDD
2012
ACM
221views Data Mining» more  KDD 2012»
13 years 6 months ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...
AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 2 months ago
Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
Fangwen Fu, Mihaela van der Schaar