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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
ADC
2009
Springer
122views Database» more  ADC 2009»
14 years 2 months ago
What is Required in Business Collaboration?
Access control has been studied for sometime, and there are a number of theories and techniques for handling access control for single or centralised systems; however, unique and ...
Daisy Daiqin He, Michael Compton, Kerry Taylor, Ji...
DEXA
2009
Springer
166views Database» more  DEXA 2009»
14 years 2 months ago
Tags4Tags: Using Tagging to Consolidate Tags
Tagging has become increasingly popular and useful across various social networks and applications. It allows users to classify and organize resources for improving the retrieval p...
Leyla Jael García-Castro, Martin Hepp, Alex...
ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 2 months ago
How to scalably and accurately skip past streams
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
Supratik Bhattacharyya, André Madeira, S. M...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 1 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau