Data Streams
A Scalable Framework for the Collaborative Annotation of Live Data Streams
... Contributions • A scalable annotation framework of live data streams • A RDF based annotation metadata model • Simplify the efforts of collaborative annotation on real time streaming dat[r] ...
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Filtering social media data streams
... a data stream management system” (Abadi, et ...new data stream management system called Aurora that aims to solve these ...that streams the data and a performance monitor GUI ...their ...
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Frequent Items Mining in Data Streams
... Abstract - The main goal of this research is to mine frequent items in data streams using ECLAT and Dynamic Itemset Mining algorithms and finding the performance and drawbacks of these two algorithms. Most ...
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Regular Programming Over Data Streams
... k | A |-th smallest element of A . It is a well-known lower bound that computing medianp A q or select k pAq in one pass over the elements of A requires |A| space, and similar lower bounds on exact computation have ...
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Role of big-data in classification and novel class detection in data streams
... “Data streams” is defined as class of data generated over “text, audio and video” channel in continuous ...The streams are of infinite length and may comprise of structured or unstructured ...
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State-of-the-art on clustering data streams
... neous data, ...Uncertain data streams pose a special challenge because of the dual complexity of high volume and data ...the data errors can be approximated either in terms of ...
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MASSIVE DATA MINING (MDM) ON DATA STREAMS USING CLASSIFICATION ALGORITHMS
... of data streams are often generated by real-time surveillance systems, communication networks, Internet traffic, on-line transactions in the financial market or retail industry, electric power grids, ...
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Unsupervised classification of data streams based on typicality and eccentricity data analytics
... online data streams with real- time constraints. The past data do not need to be stored in memory, since that the algorithm is recursive, which makes it memory and computational power ...real ...
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Modeling and Querying Data Series and Data Streams with Uncertainty
... consume data that is intrinsically uncertain and error-prone. An uncertain data series is a series whose point values are ...uncertain data stream is a data stream whose tuples are ...
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Real-Time Clustering For Big Data Streams
... evolving data streams were used to validate the algorithm. The data set generator takes as input the k amount of clusters, the dimensionality of points, the noise threshold and the speed of cluster ...
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Real Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large Scale, Heterogeneous Data Streams
... streaming data flow engine that provides data distribution, communication, and fault tolerance for distributed computations over data ...ensures data durability via Kafka’s replication and ...
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V-Optimal Filters for Data Approximation in Continuous Data Streams
... Abstract—Monitoring data streams in real time over dis- tributed streaming environments plays a large role in maintain- ing situation awareness, which is a great challenge due to huge data volumes ...
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A Survey on New Techniques Over Data Streams
... training data to form a classifier which is then used to classify unknown samples from testing ...evolving data streams ...Since data is stationary it can be process in stable time and ...in ...
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Activity Recognition with Evolving Data Streams: A Review
... sized data chunks for ...incoming data, then data is stored in short memory for further ...when data in a buffer maintains cohesion with other buffer data and separation from exist- ing ...
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A randomized neural network for data streams
... valued data cloud is crafted by the Cauchy function, which presents a first-order Taylor series approximation of the Gaussian function; 2) The intervals [3] are hardly applicable in practise notably in the online ...
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A Survey on Clustering Algorithms for Data Streams
... stream data, as it does not require any predefined class labeling. Data stream mining is challanging as the data is massive and arriving ...the data streams. Data stream mining ...
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ASSOCIATION RULE HIDING OVER DATA STREAMS
... releasing data to outside parties. Due to recent advances, releasing data to other parties may be done in a streaming ...over data streams and association rule hiding for traditional databases ...
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Efficient object tracking in WAAS data streams
... Wide area airborne surveillance (WAAS) systems are a new class of remote sensing imagers which have many military and civilian applications. These systems are characterized by long loi- ter times (extended imaging time ...
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Density Micro-Clustering Algorithms on Data Streams: A Review
... mining data streams has become promi- nent as sensors and the other devices that generate data streams are used ...Mining data streams relate to extracting useful pattern from ...
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Multidimensional Data Transmission In Data Streams
... the data streams in retrieval of the semantically data built on top of the open system ...directional data streams are required with more definition in precise to work with the ...
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