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CIKM
2011
Springer
12 years 7 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
HT
2003
ACM
14 years 24 days ago
Untangling compound documents on the web
Most text analysis is designed to deal with the concept of a “document”, namely a cohesive presentation of thought on a unifying subject. By contrast, individual nodes on the ...
Nadav Eiron, Kevin S. McCurley
ECAI
2010
Springer
13 years 8 months ago
Learning Aggregation Functions for Expert Search
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
DKE
2011
260views Education» more  DKE 2011»
12 years 11 months ago
Analysis on demand: Instantaneous soundness checking of industrial business process models
We report on a case study on control-flow analysis of business process models. We checked 735 industrial business process models from financial services, telecommunications, and...
Dirk Fahland, Cédric Favre, Jana Koehler, N...
TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela