Results 71 to 80 of about 935,434 (195)
, 2022 AbstractWe consider a scenario where a server is wirelessly connected to countless sensor nodes that continuously measure data. The task of the server is to monitor the sensors’ data. More precisely, at each time step the server calculates a function defined over the current measurements of the sensors.
Jannik Castenow +5 more
openaire +1 more source
Scalable Distributed kNN Processing on Clustered Data Streams
IEEE Access, 2019 Recommender systems provide an important tool for users to find interested items from the massive amount of user-generated contents. As user interests often change over time and contents become available in a streaming fashion, it is highly desirable to ...
Min Yang +3 more
doaj +1 more source
Noise detection in semi-supervised learning with the use of data streams
Revista Facultad de Ingeniería Universidad de Antioquia, 2014 Often, it is necessary to construct training sets. If we have only a small number of tagged objects and a large group of unlabeled objects, we can build the training set simulating a data stream of unlabelled objects from which it is ...
Damaris Pascual González +3 more
doaj +1 more source
Learning Deep Belief Networks from Non-Stationary Streams
, 2012 Deep learning has proven to be beneficial for complex tasks such as classifying images. However, this approach has been mostly applied to static datasets.
Calandra, R +3 more
core +1 more source
Certainty-Based Neural Network Architecture Selection Framework for TinyML Systems
IEEE AccessThe development of technologies related to the TinyML concept observed in recent years forces us to consider the trade-off between inference time and recognition quality. Moreover, employing data stream processing methods to analyze large volumes of data
Joanna Komorniczak +3 more
doaj +1 more source
Growth and population dynamics of crayfish Paranephrops planifrons in streams within native forest and pastoral land uses [PDF]
, 2002 Population dynamics of crayfish (Paranephrops planifrons White) in streams draining native forest and pastoral catchments, Waikato, New Zealand, were investigated from September 1996 to July 1998.
Collier, Kevin J. +2 more
core +1 more source
Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift
International Journal of Applied Mathematics and Computer Science, 2018 Two types of heuristic estimators based on Parzen kernels are presented. They are able to estimate the regression function in an incremental manner. The estimators apply two techniques commonly used in concept-drifting data streams, i.e., the forgetting ...
Jaworski Maciej
doaj +1 more source
, 2012 Stream Reasoning is the combination of reasoning techniques with data streams. In this paper, we present our approach to enable rule-based reasoning on semantic data streams in a distributed ...
Albeladi, Rehab +2 more
core +1 more source
On Evaluation of Data Stream Clustering Algorithms: A Survey
IEEE AccessData stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream.
Christian Nordahl +3 more
doaj +1 more source
TypEx : a type based approach to XML stream querying [PDF]
, 2003 We consider the topic of query evaluation over semistructured information streams, and XML data streams in particular. Streaming evaluation methods are necessarily eventdriven, which is in tension with high-level query models; in general, the more ...
Connor, Richard +2 more
core +2 more sources