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» Theoretical Frameworks for Data Mining
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MOBIDE
2010
ACM
14 years 10 months ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...
PR
2007
81views more  PR 2007»
14 years 9 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
BALT
2006
15 years 1 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
AIIA
2009
Springer
15 years 4 months ago
Relational Temporal Data Mining for Wireless Sensor Networks
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...
Teresa Maria Altomare Basile, Nicola Di Mauro, Ste...
COMAD
2008
14 years 11 months ago
CUM: An Efficient Framework for Mining Concept Units
Web is the most important repository of different kinds of media such as text, sound, video, images etc. Web mining is the process of applying data mining techniques to automatica...
Santhi Thilagam