discovery algorithms
Adapting predominant and novel sense discovery algorithms for identifying corpus specific sense differences
... senses in a newspaper corpus containing articles between 1785 and 1985. Phani et al. (2012) study 11 years worth Bengali newswire that allows them to extract trajectories of salient words that are of importance in ...
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Performance Evaluation of Multipath Discovery Algorithms for VoD Streaming in Wireless Mesh Network
... In this paper two multipath discovery algorithms, IPD/S and PPD/S to find multiple independent paths from sender to receiver for each VoD request are studied. The simulations are performed on NS2 and ...
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Performance Evaluation of Multipath Discovery Algorithms for VoD Streaming In Wireless Mesh Network
... multipath algorithms are used. IPD/S (Iterative path discovery/selection) PPD/S (Parallel Path discovery/selection) are two algorithms which is used for discovering maximum number of edge ...
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Multipath Discovery Algorithms for VoD Streaming In Wireless Mesh Network
... Here as shown in Figure 3 when a destination or user demand for the video then the request is first send to the respected server from the server a user collect the information about other source that are able to provide ...
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An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms
... Web usage mining techniques [23] is used by the researchers for determining the interest of “similar” Users. The complete process for recommendation broadly consists of two components: offline component and online ...
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Investigation of DHT Based P2P Resource Discovery Algorithms in Grid Environment
... Resource Discovery can be defined as searching and locating resources across multiple administrative ...resource discovery mechanism is one of the fundamental requirements for grid computing systems, as it ...
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Efficient algorithms for the discovery of gapped factors
... As an example application we demonstrate the perfor- mance of our method in connection with the discovery of co-occurrences representing transcription factor bind- ing sites. It is known that these sites have a ...
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Causal Reasoning with Ancestral Graphs
... Causal reasoning is primarily concerned with what would happen to a system under external in- terventions. In particular, we are often interested in predicting the probability distribution of some random variables that ...
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EFFICIENT ALGORITHMS FOR NEIGHBOR DISCOVERY IN WIRELESS AD-HOC NETWORKS
... Neighbor discovery algorithms can be classified into two categories, ...neighbor discovery, each node transmits at randomly chosen times and discovers all its neighbors by a given time with high ...
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Research and Practice of Personalized Learning Recommendation Based on Dynamic Community Discovery
... community discovery algorithms in complex networks are introduced to study the structure and evolution of learning communities, and learners' habits, learning behaviors, learning environments, learning ...
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Relevant Feature Discovery and Document Clustering Using Text Mining-A Survey
... With the use of data mining approach, data management becomes easier and convenient. Due to digital document process, the size of documents is very huge and very tough to manage. In such environment, the effective and ...
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Ontology Based Knowledge Grid in Semantic Web to Discover Knowledge in Distributed Environment
... knowledge discovery communication, sharing process and ...knowledge discovery applications, composed as workflows that integrate data sets, mining tools, and computing and storage resources provided as ...
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Tuning a multiple classifier system for side effect discovery using genetic algorithms
... Abstract— In previous work, a novel supervised framework implementing a binary classifier was presented that obtained excellent results for side effect discovery. Interestingly, unique side effects were identified ...
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GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge
... covery algorithms based on Gibbs sampling ...the discovery of regulatory elements is improved by employing discriminative approaches ...torial algorithms for the same ...
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Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
... group discovery (SD) in a unifying framework named supervised descriptive rule ...rule discovery task and by exploring the apparent differences be- tween the ...SD algorithms all aim at optimizing a ...
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SRC RR 126 pdf
... fundamental algorithms. The algorithms included string searching, priority queues, parsing, hashing, network flow, convex hulls, closest points, graph traversals, balanced trees, binpacking, and of course, ...
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A Study on Milestones of Association Rule Mining Algorithms in Large Databases
... pattern discovery can be classified into the following groups: post-processing (filtering out patterns that do not fulfill user-specified pattern constraints after the actual discovery process), pattern ...
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#1 pdf
... Vipin Kumar is currently William Norris professor and head of the Computer Sci- ence and Engineering Department at the University of Minnesota. He received BE degrees in electronics and communication engineering from ...
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Data-Driven Modeling for Precision Medicine in Pediatric Acute Liver Failure
... biological phenomena, is manifest by networks of interacting mediators that can be inferred to be interactive via various computational algorithms (11,12). This concept is especially important given the volume of ...
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Application of Grid Computing In Video Rendering
... The grid resource discovery using centralized systems [1] provide grid middleware developers an easy to use interface to manage grid resources. They keep grid resource information by using centralized databases. ...
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