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AAI
2007
132views more  AAI 2007»
13 years 6 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 6 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 6 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
WWW
2009
ACM
14 years 6 months ago
Exploiting web search to generate synonyms for entities
Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to thes...
Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 6 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos