Showing 1837–1848 of 1964 results

  • Top-k Similarity Join in Heterogeneous Information Networks

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    Top-k Similarity Join in Heterogeneous Information Networks Abstract? Top-k Similarity Join in Heterogeneous Information Networks. As a newly emerging network model, heterogeneous information networks < Final Year Projects 2016 > have received growing attention. Many data mining tasks have been explored in HINs, including clustering, classi?cation, and similarity search. Similarity join is a fundamental operation…

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    Topic Mining over Asynchronous Text Sequences

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    Topic Mining over Asynchronous Text Sequences Abstract? Topic Mining over Asynchronous Text Sequences. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections] [numbers_sections number=”2″ title=”Our =Specialization=” last=”no” ] Voice Conference Video On…

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    Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning

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    Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning Abstract?Topic-Sensitive Influencer Mining in Interest-Based. Social Media Networks via Hypergraph Learning, Social media is emerging as a new mainstream means of interacting around online media. Social influence mining in social networks is therefore of critical importance in real-world applications such as friend suggestion and…

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    TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models

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    TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models Abstract?TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models. Search Engine Marketing (SEM) agencies manage thousands of search keywords for their clients. The campaign management dashboards provided by advertisement brokers have interfaces to change search campaign attributes. Using these dashboards, advertisers create test variants…

  • Topological Modeling and Classification of Mammographic Microcalcification Clusters

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    Topological Modeling and Classification of Mammographic Microcalcification Clusters Abstract? Topological Modeling and Classification of Mammographic Microcalcification Clusters. Goal:The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malig-nant or benign. In this paper, a novel method for the classification of…

  • Tour Package Management

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    Tour Package Management Abstract?A novel double diode package (footprint D2PAK compatible) was designed, simulated, and fabricated using an innovative embedding process with electroplated large-area copper contact metallizations on both sides of the chip. The package was also experimentally characterized regarding the thermal performance using two different test methods: < Final Year Projects > a test…

  • Toward Energy-Efficient Cloud Computing Prediction, Consolidation and Over Commitment

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    Toward Energy-Efficient Cloud Computing Prediction, Consolidation and Over Commitment Abstract? : Toward Energy-Efficient Cloud Computing Prediction, Consolidation < Final Year Projects 2016 >amalgamation and Over Commitment. Energy consumption is the consumption of energy or power. Cloud Computing is a developing technology which is revolutionizing the IT Infrastructure due to its high scalability and flexibility in…

  • TOWARD MULTI-GIGABIT WIRELESS: DESIGN OF HIGH-THROUGHPUT MIMO DETECTORS WITH HARDWARE-EFFICIENT ARCHITECTURE

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    TOWARD MULTI-GIGABIT WIRELESS: DESIGN OF HIGH-THROUGHPUT MIMO DETECTORS WITH HARDWARE-EFFICIENT ARCHITECTURE Abstract?This paper presents a hardware-efficient architecture for 4?4 and 8?8 high-throughput MIMO detectors. The adopted non-constant K-best algorithm tends to keep more survival nodes in top search tree layers and reduce computational complexity in bottom layers as opposed to the conventional K-best algorithm. A…

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    Toward SWSs Discovery: Mapping fromWSDL to OWL-S Based on OntologySearch and Standardization Engine

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    Toward SWSs Discovery: Mapping fromWSDL to OWL-S Based on OntologySearch and Standardization Engine Abstract? Semantic Web Services (SWSs) represent the most recent and revolutionary technology developed for machine-to-machine interaction on the web 3.0. As for the conventional web services, the problem of discovering and selecting the most suitable web service represents a challenge for SWSs…

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    Toward Transcoding as a Service in a Multimedia Cloud

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    Toward Transcoding as a Service in a Multimedia Cloud Abstract?Toward Transcoding as a Service in a Multimedia Cloud. In this paper, we investigate the energy-efficient job-dispatching algorithm for transcoding as a service (TaaS) in a multimedia cloud. We aim to minimize the energy consumption of service engines in the cloud while achieving low delay for…

  • Toward Transcoding as a Service in a Multimedia Cloud: Energy-Efficient Job-Dispatching Algorithm

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    Toward Transcoding as a Service in a Multimedia Cloud: Energy-Efficient Job-Dispatching Algorithm Abstract? Toward Transcoding as a Service in a Multimedia. Cloud: Energy-Efficient Job-Dispatching AlgorithmWe investigate the energy-efficient job-dispatching algorithm for transcoding as a service < Final Year Projects 2016 > TaaS in a multimedia cloud. We aim to minimize the energy consumption of service…

  • Toward Trustworthy Coordination of Web Services Business Activities.

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    Toward Trustworthy Coordination of Web Services Business Activities.We present a lightweight Byzantine fault tolerance (BFT) algorithm, which can be used to render the coordination of web services business activities (WS-BA) more trustworthy. The lightweight design of the BFT algorithm is the result of a comprehensive study of the threats to the WS-BA coordination services and…

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