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What is Data Stream

Encyclopedia of Information Science and Technology, Fourth Edition
A continuous flow of data.
Published in Chapter:
Mining Big Data and Streams
Hoda Ahmed Abdelhafez (Suez Canal University, Egypt)
Copyright: © 2018 |Pages: 12
DOI: 10.4018/978-1-5225-2255-3.ch036
Abstract
Mining big data is getting a lot of attention currently because the businesses need more complex information in order to increase their revenue and gain competitive advantage. Therefore, mining the huge amount of data as well as mining real-time data needs to be done by new data mining techniques/approaches. This chapter will discuss big data volume, variety and velocity, data mining techniques and open source tools for handling very large datasets. Moreover, the chapter will focus on two industrial areas telecommunications and healthcare and lessons learned from them.
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Multi-Label Classification
A dynamic and evolving stream of data, such as e-mail and news. Usually considered to grow too large to hold in memory.
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Overview of Concept Drifts Detection Methodology in Data Stream
It is continuous, real-time huge volume of data generated continuously from various online applications.
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Synopsis Data Structures for Representing, Querying, and Mining Data Streams
An unconventional information source that produces unbounded, continuously flooding data.
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Association Rule Mining
A continuous flow of data from a data source, e.g., a sensor, stock ticker, monitoring device, etc. A data stream is characterized by its unbounded size.
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Data Streaming Processing Window Joined With Graphics Processing Units (GPUs)
Continuous unbounded sequence of data values that arrive in time at a port on a system ( Govindaraju et al., 2005 , p. 613).
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Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application
Data streaming is a process that enables continuous real-time data delivery between a source and a destination.
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Segmenting Big Data Time Series Stream Data
Data stream is time series sequence which flows into a computer system continuously, in a non-stationary way and with varying update rates. Often, it may be impossible to store an entire data stream or to scan through it multiple times due to its tremendous volume.
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OLAP over Uncertain and Imprecise Data Streams
Continuous and transient flow of data (usually coming from sensors, web applications, or telecommunication networks) processed by advanced analysis techniques.
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Approximate Range Querying over Sliding Windows
Data that is structured and processed in a continuous flow, such as digital audio and video or data coming from digital sensors.
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Big Data Time Series Stream Data Segmentation Methods
Data stream is time series sequence which flows into a computer system continuously, in a non-stationary way and with varying update rates. Often, it may be impossible to store an entire data stream or to scan through it multiple times due to its tremendous volume.
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Exploratory Cluster Analysis Using Self-Organizing Maps: Algorithms, Methodologies, and Framework
Continuous and potentially infinite data set with each example represented as a fixed-dimensional vector of values.
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