in the third paper "A Churn Resilience Technique on P2P Sensor Data Stream
Delivery System Using Distributed Hashing" investigate research issues arising in sensor data stream
Therefore, the dependence of uncertainty tuples on features must be taken into consideration to increase the corresponding weights of features and to clean data stream
tuples with larger uncertainty preferentially.
Complex event system for data stream
is mainly responsible for the detection of complex events.
ABSTRACT: Data stream
applications are currently emerged as sources of Real Time Data Warehouse (RTDW) systems.
These throughput numbers assume a sequential data stream
, and are not affected much by spindle speed.
Spatial Multiplexing: The basic concept behind spatial multiplexing is the division (multiplex) of a specific data stream
into different branches and subject to transmission in various independent channels in space.
Recently, sensor data stream
delivery system that collects sensor data periodically and delivers successively has been attracting great attention.
To confront these challenges, research on data stream
mining has been emerged.
It presents an ADWIN for detecting change and keeping statistics from a data stream
At its core is a technology that is based on a series of algorithms that identify and filter out the elements of a data stream
that have previously been stored.
In this work we discuss the implications of the resource constraints impose by the data stream
computational model in the design of learning algorithms.
Read and write data streaming: Minimizes the overhead of data transfer by allowing the target to send one data stream
LUN Q-TAG (LQ) packet, followed by multiple data packets.