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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
DILS
2006
Springer
13 years 11 months ago
An Extensible Light-Weight XML-Based Monitoring System for Sequence Databases
Life science researchers want biological information in their interest to become available to them as soon as possible. A monitoring system is a solution that relieves biologists f...
Dieter Van de Craen, Frank Neven, Kerstin Koch
ER
2004
Springer
161views Database» more  ER 2004»
14 years 28 days ago
Towards a Statistically Semantic Web
The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. ...
Gerhard Weikum, Jens Graupmann, Ralf Schenkel, Mar...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 8 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
14 years 8 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...