Evolving data
Learning from evolving data streams: online triage of bug reports
... Tamrawi et al. (2011) propose the Bugzie model where developers are ranked according to the fuzzy set membership function as defined in section 4.4. They also use the label (devel- oper) cache and term cache to speed up ...
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AnyNovel: detection of novel concepts in evolving data streams: An application for activity recognition
... A data stream is a flow of unbounded data that arrives continu- ously at high ...the data changes over the time while stream evolves. The evolving nature of data causes essen- tially ...
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Fully online clustering of evolving data streams into arbitrarily shaped clusters
... In this paper we present a fully online technique for clustering evolving data streams into arbitrary shaped clusters. It is a two stage technique that is accurate, robust to noise, computationally and ...
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A SURVEY ON VARIOUS CLASSIFICATION AND NOVEL CLASS DETECTION APPROACHES FOR FEATURE EVOLVING DATA STREAM
... of data stream is challenging task for data mining ...of data stream has some difficulties such as feature evolution, concept evolution, concept drift and infinite ...the data streams are huge ...
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Clustering Over Multiple Evolving Data Streams of the Traffic Cyber-Physical Systems
... multiple data streams of the traffic Cyber-Physical Systems (CPS) has been attracted an increasing amount of attentions by the related ...sensor data streams by low rank approximation Matrix Factorization ...
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A Representation for Complex and Evolving Data Dependencies in Generation
... When the Referring Expression generation module runs, it can recover the Centering information by inspecting the partial syntactic representations for the phrases it is supposed to gener[r] ...
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An Approach for Mining Frequent Item sets from Tuple evolving Data Streams
... Figure 1 shows the various the assumptions and approaches that are considered for incoming transactions to derive frequent itemsets from the data streams. Basic approaches are projected in the figure 1. The very ...
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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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The Study of Active Learning with Evolving Streaming Data
... with evolving streaming data I have tested the existing strategies using different data sets from Forest cover, Electricity and ...on evolving data ...required data sets can be ...
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A Survey on i2MapReduce:Incremental MapReduce for Evolving Big Data
... unstructured data, such as text, audio, and image ...unstructured data is now accumulating in data centers at three times the rate of traditional transaction-based ...require data processing ...
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Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects
... probabilistic data association (JPDA PF) proposed in [37, 38] and (2) the influence of the system parameters on the model including the geometric constraints, number of parts being tracked, the radius of the ...
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Evolving surface finite element methods for random advection-diffusion equations
... (EPSRC EP/J004057/1) and by a Leverhulme Trust Early Career Fellowship. The research of CME was partially supported by the Royal Society via a Wolfson Research Merit Award and by the EPSRC programme grant (EP/K034154/1) ...
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Data sharing and the evolving role of statisticians
... raw data to the Study Data Tabulation Model (SDTM); SDTM is a documented standard in the Pharmaceutical Industry for converting raw data into a standardised format which should be more analytically ...
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Design & Development of a Trusted Database Prototype to Execute SQL Queries with Privacy and Compliance
... (1) Later, a client sends a query request to the host server through a standard SQL interface. The query is transparently encrypted at the client site using the public key of the SCPU. The host server thus cannot decrypt ...
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1. A literature review on ethical analysis of big data sharing
... The general idea is that instead of instructing a computer what do, we are going to simply throw data at the problem and tell the computer to figure it out for itself. And it will help you understand it by seeing ...
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Proposal of a Personalized Web Search Framework for Query Personalization and User Specified Privacy Requirements
... search data show that the algorithms are effective in improving search accuracy for both fresh and recurring ...through data of past searches that are related to the current ...
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Design & Development of an Effective Travel Assessment Model for Personalised Travel Package Representation
... The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particularly promising area is to extract ...
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Incremental and Iterative Map reduce For Mining Evolving the Big Data in Banking System
... Big data is constantly evolving. As new data and updates are being collected, the input data of a big data mining algorithm will gradually change, and the computed results will become ...
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Evolving inversions
... empirical data covering variation among arrangement haplotypes in different geographic areas, and comparative studies that trace the ancestry of inversions, are needed to distinguish between these ...
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An ALE ESFEM for solving PDEs on evolving surfaces
... on evolving hypersurfaces using surface finite ele- ments on evolving triangulated surfaces are ...original evolving surface finite element method in which the nodes move with a material ...
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